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Job intelligence

AI Agent Engineer

Binance

Location: Hong Kong, Singapore Work arrangement: Remote — restrictions unclear Employment: Full Time Posted: October 24, 2026 Freshness: Very fresh Source check: Observed in the past 3 days
Disclosure3 of 5 core facts statedReview uncertainties
Last source observationObserved in the past 3 daysObservation is not employer confirmation.
Application destinationjobicy.comReview the application route and source evidence in the full report below.

Before relying on the listing: Confirm Compensation and Application closing time with the employer or source. See verification questions

Executive opportunity brief

The decision in one screen

A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.

Compensation positionPay not disclosed
Work flexibilityRemote — restrictions unclearBased only on stated location/work-arrangement evidence.
Decision evidence3 of 5 core facts known
Mobility evidenceSponsorship not establishedUnknown evidence is not treated as unavailable.
Current alternativesCurrent role context limitedCurrent HPJ inventory, not the whole labor market.
Negotiation readinessNegotiation evidence is limited. Use the lab primarily to organize what must be clarified rather than to infer a market value.Use the private Offer & Negotiation Lab below if an offer arrives.

Fast read

Opportunity DNA

The available details do not point to a single standout advantage yet. The clearest issue to weigh is the pay picture is incomplete.

PayNot disclosed

A financial comparison will need the approved compensation range.

FlexibilityRemote with some uncertainty or restrictions

The work arrangement can be assessed, although it is not among the most flexible patterns detected.

Entry pathRequirements unclear

The listing does not make the minimum education or experience threshold clear enough yet.

MobilityNot established

Sponsorship and relocation support are not clear from the current listing.

ApplicationSome process detail

Part of the application route can be assessed, but the full external process may contain additional steps.

TraceabilityCurrent source traceable

At least one recent enabled source can still renew this vacancy.

This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.

Decision evidence check

3 of 5 core facts stated

This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.

Facts already stated

  • Work arrangement
  • Location eligibility
  • Employment type

What to verify next

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?

Unknown information is never converted into a negative score. The questions above exist to prevent missing evidence from being mistaken for a favorable term.

Decision levers

What could make or break the fit?

Reasons to look closer

Nothing stands out strongly enough yet to call a clear advantage. The role may still be attractive for reasons the listing does not spell out.

Trade-offs to weigh

  • The pay picture is incomplete: No usable salary range is stated, so a meaningful financial comparison is not possible yet.

Questions worth asking before you invest more time

  • Ask for the approved compensation range before comparing this opportunity financially.
  • Confirm which countries employees may work from and whether payroll-country, timezone or office-attendance restrictions apply.
  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
  • Ask whether visa sponsorship is available before investing significant time in the application.

These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing does not state usable structured compensation, and the current role sample is still too small for a reliable disclosure-rate comparison.

This listingUsable pay not stated

Compensation counts only when amount, ISO currency and supported pay period are all known.

Current same-role sampleInsufficient evidence

At least ten current comparable roles are required before HPJ publishes a disclosure percentage.

Current employer pattern0%

Employer-level comparison is withheld until enough current employer listings are available.

This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.

Private offer & negotiation lab

Turn an offer into evidence, not guesswork

Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.

Advertised annualized payNot usable / not disclosedListing evidence only.
Current comparable medianInsufficient same-currency sampleAt least 10 observations required.
Current upper quartileNot publishedCurrent HPJ inventory context, not a salary recommendation.

Negotiation evidence is limited. Use the lab primarily to organize what must be clarified rather than to infer a market value.

Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.

Review the full package · 10 terms

Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.

Base payVerify

The approved base-pay range is not established in the listing.

Bonus / commissionVerify

Variable compensation is mentioned; verify amount, formula, target and eligibility.

Equity / long-term incentivesVerify

Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.

Retirement / pensionVerify

Retirement or pension benefits are mentioned; verify employer contribution and vesting.

Health benefitsVerify

Health-benefit language is mentioned; verify coverage, dependants and employee cost.

Paid leaveVerify

Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.

Work arrangementKnown

A work-arrangement signal is available; verify schedule details before relying on it.

RelocationVerify

Relocation support not established

Visa / work authorizationVerify

Sponsorship not established

Review timingVerify

A review cycle is mentioned; verify timing and whether compensation can change at that review.

Questions worth taking into the offer conversation

  • What is the approved base-pay range for this role?
  • Is there a bonus, commission or other variable-pay component, and how is it calculated?
  • Does the package include equity or another long-term incentive, and what are the vesting terms?
  • What retirement or pension contribution does the employer provide?
  • What health coverage is included and what costs remain with the employee?
  • How much paid leave is provided and what are the carry-over or blackout rules?
  • If relocation is relevant, what expenses, timing and repayment conditions are covered?
  • What exact sponsorship or work-authorization conditions apply to this role?

Skill bridge

What does this role connect to?

The listing contains useful skill signals, while the current occupation sample is still too thin for a broader comparison.

Skills named in this listing

JavaLarge Language ModelsPythonRedis

Shared with the current career sample

The occupation sample is still too thin for a reliable shared-skill comparison.

Application edge

  • If these skills match your background, prepare one concrete example that shows how you used Java, Large Language Models, and Python rather than relying on a keyword-only claim.
  • The listing mentions extra application steps. Review those requirements before starting so you can prepare the requested material in one pass.

Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant.

Application Decision Lab

Turn the listing into a preparation plan

Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.

Listing mention

Java

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Large Language Models

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Python

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Redis

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Application step

Prepare for a stated application step

A portfolio or work sample is explicitly mentioned.

Questions worth resolving before you rely on the opportunity

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?

Decision analysis

What the listing really tells you

Useful decision context

The headline alone does not tell the whole story for AI Agent Engineer at Binance. The clearest decision context comes from the location rules are clear enough to judge, the visible application effort can be estimated, and the listing can be traced to a current source.

The location rules are clear enough to judge

The work-location pattern is “Remote with some uncertainty or restrictions”, with Remote Freedom at 68/100.

The visible application effort can be estimated

Provider-mediated application path · 1 visible process step. The external application may contain additional steps that are not visible from the listing itself.

The listing can be traced to a current source

1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.

How this analysis is assembled

Built from the pay, location, qualification, mobility, application and source details available for this vacancy. Anything the listing leaves unresolved stays unresolved.

Analysis evidence coverage

How much analysis can the current evidence support?

50%Partial analysis evidence coverage
50%
Current-sample pay positionInsufficient comparable salary sample

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Remote Freedom evidence68 / 100

Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.

Salary evidence qualityNo usable disclosed salary evidence

Missing compensation is not treated as negative evidence; this dimension simply remains unavailable.

Listing freshnessVery fresh

The listing was posted about 2 days ago.

Source provenance evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.

Decision checklist

What is supported, uncertain or worth checking?

This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.

Supported strengths

No standout strength is supported strongly enough to list here. That is not a negative rating.

Visible cautions

  • The role may involve non-standard hours or on-call work.
  • The description appears to mention an advanced degree requirement or preference.

Still unknown

  • There is not enough comparable salary evidence to establish this job’s current pay position.
  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Entry-barrier evidence limited

EducationEducation requirement not established
Required experience evidenceExperience requirement not established
Explicit required barriers0
Explicit access signals0

Qualification signals come from explicit listing wording. Anything not mentioned remains unknown, so silence is never treated as proof that a degree, experience, licence or other requirement is unnecessary.

Pay vs. barriers

Opportunity Efficiency not assessed

The current pay position is not reliable enough to weigh compensation against the stated barriers.

Evidence gaps that could change this interpretation
  • Current comparable pay position is unavailable.
  • Education requirement is not established.
  • Required prior-experience level is not established.

This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.

Beyond the headline

Not enough evidence for a hidden-value finding

Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.

Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.

Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.

Compensation intelligence

How competitive is this pay?

No High Pay Score yet

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Why this analysis?

  • This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
  • Salary confidence: Not available. No disclosed salary can currently be normalized for comparison. Missing compensation is not treated as low-quality salary evidence.
  • Range quality: No disclosed range.

Employer compensation communication

Pay transparency at Binance

Limited current pay transparency

This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.

0/100
0%
Salary disclosure0% · 0 of 32 sampled listings
Range qualityNo disclosed salary ranges
Bonus wording2 current listings
Equity wording1 current listings
Benefits wording27 current listings
Evidence strengthStronger

This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.

Current employer intelligence

Binance — current opportunity snapshot

Current opportunities visible32
Salary disclosure0%
Remote-policy evidence coverage100% · 32 of 32 sampled listings
Remote share of known arrangements97%
Worldwide-remote share6%
Known hiring countries8
Sponsorship evidence coverage0% · 0 of 32 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample32 of 32 · 100% coverage
Current role-family breadth9
Stated closing-date coverage6%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days16% of listings with a known posting date

Employer Evidence Profile

How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.

Compensation0% of sampled current listings

Current sampled listings with advertised compensation evidence.

Work arrangement100% of sampled current listings

Current sampled listings whose work arrangement is clearer than unknown.

Location59% of sampled current listings

Current sampled listings with a supported country signal.

Application timing6% of sampled current listings

Current sampled listings with an explicit closing time.

Posting date100% of sampled current listings

Current sampled listings with a usable posting date.

Sponsorship0% of sampled current listings

Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.

Relocation0% of sampled current listings

Current sampled listings with an explicit relocation signal.

Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.

Common current occupation families: Software engineering (5) · Product (4) · Data & AI (3)

Visible seniority mix: Early-career (1) · Mid-career (1) · Senior / lead (9) · Leadership (1)

Current employment-type mix: Full time (18) · Internship (12) · Contract (1)

Most visible hiring countries in this sample: Singapore (5) · United Arab Emirates (5) · Hong Kong (3) · United Kingdom (2)

Other current roles from this employer

These are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.

There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.

Questions worth asking this employer

  • What compensation range applies to this role, and which parts of total compensation are fixed versus variable?
  • If work authorization matters to you, what sponsorship policy applies to this specific role and location?
  • If a move is required, is relocation assistance available for this position?
  • What is the expected application and interview timeline if the listing does not state a closing date?

These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.

This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.

This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.

Work-location intelligence

Remote Freedom

68/100

Remote with some uncertainty or restrictions

68%

Why this score?

  • The role is remote, but the exact applicant-location restrictions are not clear.

Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.

International applicant intelligence

Visa & relocation signals

Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.

Visa sponsorshipSponsorship not established

The available listing details do not contain a clear enough sponsorship statement.

RelocationRelocation support not established

The available listing details do not contain a clear enough relocation statement.

Tradeoff check

What’s the catch?

These are visible conditions worth checking before treating the headline compensation as the whole story:

  • The role may involve non-standard hours or on-call work.
  • The description appears to mention an advanced degree requirement or preference.

Application-path intelligence

What can we see about the application process?

Provider-mediated application path

The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.

Current destination: jobicy.com · HTTPS

Visible application steps or requirements

  • A portfolio or work sample is explicitly mentioned.

Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.

Application safety context

Application safety check

Basic application-safety context available

The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.

Evidence checked: Source provenance · Application destination · Listing wording

Observable transport-safety signals

  • The available application destination uses HTTPS.
Before you share money or sensitive information
  • Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
  • Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
  • Do not pay application, processing, training or equipment fees merely to be considered for a job.
  • Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
  • Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.

This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.

Original listing details

The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

We are building AI Agent systems for core use cases such as AI conversations and AI-powered trading. We are looking for an AI Agent R&D Engineer to develop a conversational agent platform and its underlying capabilities, including tool calling, memory, orchestration, and more. The goal is to transform large language model capabilities into stable, reliable, and continuously evolving product features that can be applied to real business scenarios..

Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

  • Develop an enterprise-grade conversational agent platform to support core business scenarios such as AI search, token insight conversations, trading assistant Q&A, and trading strategy generation.
  • Design and implement multi-turn conversation capabilities, including contextual memory, tool calling and orchestration, clarification and follow-up questioning, and fallback handling, to create a natural and coherent conversational experience.
  • Build and optimize the large-model application pipeline, including prompt engineering, retrieval-augmented generation (RAG), tool calling / function calling, and workflow orchestration.
  • Work closely with product, algorithm, data, and trading teams to deploy conversational AI capabilities into real business scenarios and continuously drive iterative improvements.
  • Establish quality monitoring and evaluation systems for production environments, continuously improving key metrics such as first-resolution rate, conversation completion rate, response latency, and user satisfaction.
  • Ensure system stability, security, and compliance, while continuously improving performance, availability, and observability under high-concurrency scenarios.

Qualifications

  • Master’s degree or above in Computer Science or a related field is preferred.
  • More than 2 years of backend development experience, with solid engineering skills in Java or Python and familiarity with common microservices architectures.
  • Hands-on experience in deploying large-model / AI applications, with a deep understanding of key technologies such as prompt engineering, RAG, vector retrieval, and function calling.
  • Strong complex system design capabilities, with familiarity in caching, message queues, databases, and service governance.
  • Strong interest in digital asset trading, market structure, on-chain data, and token-related information, with a willingness to deeply understand trader needs and behaviors.
  • Strong data analysis and troubleshooting skills, with the ability to drive continuous system improvement based on logs and metrics.
  • Strong cross-functional communication and project execution skills, with a results-oriented mindset.
  • Preferred Qualifications
    Experience in AI search, financial information retrieval, or token / project research products.
    Experience with trading products, market analysis, quantitative tools, or strategy platforms.
    Experience building agent platforms, A/B testing frameworks, or evaluation datasets.
    Familiarity with technologies such as Redis, Kafka, Elasticsearch, and vector databases.

Why Binance

  • Shape the future of finance
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Listing provenance

Where did this job come from?

See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.

Current source evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

Continuity
One recent renewable source
Source-class independence
One renewable source class
Last source observation
Observed in the past 3 days

This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.

  • 1 enabled source recently observed this vacancy.

Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.

JobicyPublisher source

The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.

Continue to applicationOpens in a new tab

Listing source: Jobicy. Destination: jobicy.com. The application opens in a new tab so you can keep this report open.