MLabs
4 days ago Be among the first 25 applicants
Full-Stack Engineer, AI Financial Agent
Location:
Remote - NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv.
compensation:
$160K - $200K
We are a technology company that provides the first automated, on-chain economic security system for crypto protocols, helping them optimize risk management and capital efficiency while safeguarding user funds. Our platform secures billions of dollars in assets for leading protocols by analysing protocol mechanics and scenario implications using world‑class custom EVM simulations. We are seeking a proactive and results‑driven Full-Stack Engineer to join our AI team and develop our cutting‑edge financial AI agent.
As a Full-Stack Engineer reporting directly to the Head of Product & AI, you will play a critical role in working closely with the CEO and the AI team to design and build the full‑stack systems that power our financial AI agent.
Responsibilities
Design and build end‑to‑end full‑stack systems for our AI financial agent
Develop scalable APIs and backend services to support agent workflows
Build high‑performance, user‑facing interfaces to visualise agent reasoning and surface insights, and enable real‑time interaction
Collaborate with AI researchers to integrate and productionise agent logic
Connect and manage data pipelines from financial sources
Implement testing, monitoring, and performance best practices
Stay up to date with LLM frameworks, full‑stack tools, and financial trends
Essential Qualifications
Experience: 5+ years of full‑stack development experience
Backend Proficiency: Strong proficiency in Python (FastAPI), JavaScript/TypeScript, and Node.js
Frontend Proficiency: Strong proficiency in React
System Knowledge: Proven experience building scalable APIs and web applications
Data Skills: Solid knowledge of relational and non‑relational databases
AI Experience: Hands‑on experience with LLMs and frameworks like LangChain or similar
Advanced AI Concepts: Familiarity with vector databases, RAG pipelines, and async programming
Domain Expertise: Experience with financial data and APIs
Work Style: Comfortable working in fast‑paced, self‑directed environments
Location: Ability to work from our Brooklyn Office 5 days a week (mandatory for NYC‑based candidates)
Preferred Qualifications
Experience building LLM‑based agents in production environments
Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design
Experience with embedding pipelines, semantic search, and RAG architectures
Proficiency with profiling tools and performance optimization
Familiarity with smart contracts, blockchain protocols, and DeFi systems is a strong plus
Benefits
Competitive PTO (21 days) plus 7 sick days and 8 US‑company holidays
100% employer‑paid health benefit options (Medical, dental & vision insurance) for you and your dependents
FSA or HSA (pending on selected health insurance) and pre‑tax commuter benefits
Thoughtful parental leave policy and corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP)
Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalised professional development
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, accessible job advert, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job advert in an accessible format please let us know at the earliest opportunity by emailing human‑resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
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Full-Stack Engineer, AI Financial Agent
Location:
Remote - NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv.
compensation:
$160K - $200K
We are a technology company that provides the first automated, on-chain economic security system for crypto protocols, helping them optimize risk management and capital efficiency while safeguarding user funds. Our platform secures billions of dollars in assets for leading protocols by analysing protocol mechanics and scenario implications using world‑class custom EVM simulations. We are seeking a proactive and results‑driven Full-Stack Engineer to join our AI team and develop our cutting‑edge financial AI agent.
As a Full-Stack Engineer reporting directly to the Head of Product & AI, you will play a critical role in working closely with the CEO and the AI team to design and build the full‑stack systems that power our financial AI agent.
Responsibilities
Design and build end‑to‑end full‑stack systems for our AI financial agent
Develop scalable APIs and backend services to support agent workflows
Build high‑performance, user‑facing interfaces to visualise agent reasoning and surface insights, and enable real‑time interaction
Collaborate with AI researchers to integrate and productionise agent logic
Connect and manage data pipelines from financial sources
Implement testing, monitoring, and performance best practices
Stay up to date with LLM frameworks, full‑stack tools, and financial trends
Essential Qualifications
Experience: 5+ years of full‑stack development experience
Backend Proficiency: Strong proficiency in Python (FastAPI), JavaScript/TypeScript, and Node.js
Frontend Proficiency: Strong proficiency in React
System Knowledge: Proven experience building scalable APIs and web applications
Data Skills: Solid knowledge of relational and non‑relational databases
AI Experience: Hands‑on experience with LLMs and frameworks like LangChain or similar
Advanced AI Concepts: Familiarity with vector databases, RAG pipelines, and async programming
Domain Expertise: Experience with financial data and APIs
Work Style: Comfortable working in fast‑paced, self‑directed environments
Location: Ability to work from our Brooklyn Office 5 days a week (mandatory for NYC‑based candidates)
Preferred Qualifications
Experience building LLM‑based agents in production environments
Familiarity with prompt engineering, tool use orchestration (MCP), and AI agent design
Experience with embedding pipelines, semantic search, and RAG architectures
Proficiency with profiling tools and performance optimization
Familiarity with smart contracts, blockchain protocols, and DeFi systems is a strong plus
Benefits
Competitive PTO (21 days) plus 7 sick days and 8 US‑company holidays
100% employer‑paid health benefit options (Medical, dental & vision insurance) for you and your dependents
FSA or HSA (pending on selected health insurance) and pre‑tax commuter benefits
Thoughtful parental leave policy and corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP)
Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalised professional development
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, accessible job advert, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job advert in an accessible format please let us know at the earliest opportunity by emailing human‑resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
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