×
Register Here to Apply for Jobs or Post Jobs. X

Senior AI Engineer

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Finster AI
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-03-04
Job specializations:
  • Software Development
    AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 200000 USD Yearly USD 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Senior AI Engineer (New York)
Location: New York

Compensation: $120,000-$200,000 + Equity

About Finster AI

We’re a Series A stage firm, redefining the future of finance with our AI-native research and task automation platform, backed by leading, global venture investors. Founded by a team of experts from Google Deep Mind, Meta AI, and J.P. Morgan, Finster AI provides cutting-edge solutions to help finance professionals unlock unique insights with greater efficiency and accuracy.

We’re building a well-rounded team with multi-disciplinary expertise across product, AI, finance, UI/UX, and engineering to help in our goal of building AI agents that can read, analyze, and integrate disparate sources of financial and market data. We’re building for the distinct demands of institutional investors, with accuracy, reliability, and privacy at the core of our product.

The Role

As an AI Engineer you will;

  • Work on building scalable multi-modal LM based AI agents
  • Research and build innovative solutions to Finster relevant AI problems including RAG, semantic search, knowledge representation, function calling, fine-tuning and reasoning in LLMs
  • Research and build evaluations, metrics, benchmarks for Finster relevant AI problems
  • Present innovative solutions through POCs and demos and convert solutions into high-quality production ready code
  • Collaborate with other engineers, product managers, designers, and team members to innovate, design and build
Who You Are
  • A degree in Computer Science or relevant fields
  • A strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
  • Experience writing production ready code
  • Familiarity with recent developments and literature on Large Language Models and AI agents
  • Knowledge of core machine learning concepts and ML related maths like linear algebra, probability and statistics, multivariate calculus
  • Strong communication and presentation skills (discussion, brainstorming ideas, technical research writing etc)
Nice-to-haves
  • Experience in industrial research through industrial research internships or previous AI/ML engineering roles
  • Experience in academic research as evidenced through research projects or publications.
You Will Thrive Here if You
  • Are comfortable being challenged and feel at home with ambiguity and rapid change.
  • Enjoy working in an entrepreneurial, fast-paced environment where priorities can shift and new opportunities emerge quickly.
  • Highly collaborative and are an effective communicator.
Why Finster
  • Impact: As an early-stage company, you’ll be part of the team shaping the foundation of one of the most exciting AI platforms in financial services.
  • Exposure: You’ll work directly with senior technical leadership on critical projects
  • Growth: Be part of a company scaling rapidly after Series A, with opportunities to grow the scope and responsibility of your role.
  • Exceptional team: We are a world class team that combines expertise from AI labs (Google Deep Mind, Meta AI) with leading Financial institutions (Morgan Stanley, J.P. Morgan, Rothschild & Co, Aviva Investors, Visible Alpha, Revolut).
  • Culture: We deeply value collaboration, intellectual curiosity, disagreement and high performance.
Compensation
  • Salary: $120-200k per year depending on experience
  • Generous Equity package: When you help build Finster AI, everyone deserves to be an owner.
  • Please Note: If your salary expectations look a little different to that outlined, we’d still be keen to hear from you if this is a role that excites you and one that you think you could really excel in.
Benefits at Finster AI

We’re a growing, cross-functional team that values supporting each other's development. As part of the team, you can expect:

  • 25 days PTO, excluding bank holidays
  • Flexible working - Our flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Finster AI employees have the flexibility to work from home 2/3 days per week.
  • Generous healthcare and dental package
Next steps

At Finster AI we are committed to building an inclusive environment that attracts and retains the best talent from around the globe. We welcome applicants from different cultural and educational backgrounds and value curiosity, courage and determination to implement new ideas. If you are a self-starter that wants to have an impact on how Finster grows and develops, we want to hear from you.

Eagerness to learn, attitude, and enthusiasm are more important than ticking all the boxes. Even if not all desired requirements are met, but you're very excited about the role, get in touch.

Please communicate any reasonable accommodations you may need for your interview.

If you believe you’re a great candidate for Finster AI but don’t see a relevant open role, we encourage you to still get in touch. Send your resume and tell us why you want to join us to careers

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary