Applied AI Engineer - Hybrid - NYC -$200K - $250K
Quick facts
- Pay
- $200K - $250K
- Type
- Full-time
- Location
- New York, NY
- Experience
- 3–8 years
- Skills
- Python, SQL, React, Django, Kubernetes
- Industry
- Information Technology — 654 open jobs
- Visa in listing
- H-1B, OPT
- Apply
- Free to apply — never pay anyone for a job offer or visa sponsorship
Job description
Note: Only candidates with 3 - 8 years of experience in US as an applied AI engineer building agentic AI products need apply
Role Overview
One of our start-up clients is looking for software engineers to chart the course of how AI is reshaping institutional finance. You’ll build AI Infrastructure (observability, agent orchestration, expert skills, tools as CLI’s and MCP, data orchestration, and UI component libraries) that are leveraged by some of the world’s most sophisticated hedge funds as part of their AI implementations, working directly with their investment teams to turn complex workflows into elegant, production-grade applications.
This role sits at the intersection of AI implementation and financial software. You won’t just use AI tools – you’ll build AI-powered features directly into client platforms: LLM-driven research intelligence, agentic workflows, MCP-connected data sources, and automation layers that compress weeks of analyst work into seconds. The ideal candidate is a strong full-stack engineer who is fluent in modern AI tooling and deeply curious about how hedge funds and asset managers think, invest, and operate.
Speed is a core part of the job. Our model is to deliver fully customized platforms in weeks, not months, which means you need to ship with conviction, iterate based on real user feedback, and know when to build from scratch versus leverage proven infrastructure.
Key Responsibilities
- AI-Powered Feature Development: Build LLM-powered features directly into client-facing platforms, including research intelligence tools, natural language query layers, automated summarization, and agentic workflows that fundamentally change how investment teams work
- Agentic Tooling & MCP Integration: Design and implement MCP-connected data sources, agentic pipelines, and AI orchestration layers using frameworks like Claude Code, LangGraph, Open Claw, Open Code and similar, extending client platforms with live, intelligent data access
- Full-Stack Application Development: Build end-to-end applications tailored to each client’s unique portfolio analytics, risk management, and research workflows—from backend APIs to responsive frontends
- Backend Services: Design and maintain high-performance APIs using Python (FastAPI or similar) that power client-specific data access, analytics, and AI inference
- Frontend Development: Build intuitive, responsive user interfaces in React that enable investment teams to interact with complex financial data clearly and efficiently
- Data Pipeline Development: Build and maintain ETL pipelines that handle critical financial market data—positions, securities, risk metrics, and research signals—with reliability and performance
- Financial Analytics: Implement analytics layers for performance and risk calculations using timeseries and linear algebra operations (Pandas, Polars)
- Ship Fast, Iterate Often: Deliver working software in compressed timelines, gather direct feedback from hedge fund users, and continuously improve, treating speed and quality as complementary, not competing
- Kubernetes Deployments: Be able to work fluidly with Kubernetes within each client environment to be able to ship fast and reliable.
Tech stack
Python, React, SQL, Azure, AI frameworks, and monitoring. This role also involves documenting technical designs, mentoring team members, and staying current with emerging AI frameworks, tools, and best practices.
Role Requirements
Dealbreaker
Work experience
- Experience building user-facing Agentic AI products and features from 0 to 1
Hard skills
- First principles understanding of the agentic loop used within most agentic frameworks and demonstrated record using agentic AI tooling effectively
Miscellaneous
- Genuine conviction that AI is transforming software (active use of AI tools) and deep interest in finance (how institutional investors think, make decisions, and use tech)
Baseline
Seniority
- 3 - 8 years of experience as an applied AI engineer building agentic AI products
Work experience
- AI implementation experience inc. hands on building with LLM APIs, MCP servers, agentic frameworks (Claude Code, OpenClaw, LangChain), prompt engineering
Hard skills
- Strong technical fundamentals including expertise in Python (non-negotiable; API experience using FastAPI, Flask, or Django etc highly preferred)
Soft skills
- Effective in unstructured environments and can solve loosely defined problems
Nice-to-have
Work experience
- Relevant institutional investor and/or fintech experience (e.g., Two Sigma, DE Shaw, Citadel, P72, Addepar) or other data-first and quantitative fields
Salary: $200K - $250K
Hybrid work policy
In-person 4 days (Wed remote) per week in NY (Bryant Park)
Equity: Competitive
Visa sponsorship details
Open to visa transfers (e.g. OPT, H1B transfers)
Visa sponsorship record
No public sponsorship records foundWe didn't find H-1B, H-1B1, E-3 or green card (PERM) filings under the name RS Global Services in the Department of Labor and USCIS data. That doesn't mean the job can't be sponsored — the company may file under a different legal name, be new to sponsorship, or sponsor a visa that isn't in these datasets (for example H-2B or J-1).
Tip: ask the recruiter early, in writing, which visa they sponsor and whether they cover the legal and filing fees.
Which visas can work for this job
Occupation: Software Developers (SOC 15-1252).
- Mentioned in the listing
H-1B, OPT
- H-1B cap-exempt employer
Regular cap-subject employer — a new H-1B needs to win the lottery in March (unless you already hold cap-counted H-1B status).
- TN (citizens of Canada and Mexico)
This kind of role may fit the USMCA profession “Computer Systems Analyst (or Engineer, for engineering-degree holders)” — it depends on the actual duties. No lottery, no cap; you need the matching degree or license.
- E-3 (Australia) and H-1B1 (Chile, Singapore)
Same degree requirement as H-1B, but no lottery and a separate quota that is rarely filled.
- O-1 (extraordinary ability)
For candidates with awards, publications, press, a high salary or critical roles at distinguished organizations. No cap, no lottery; the employer files a petition.
- STEM OPT extension (F-1 students)
Requires an E-Verify employer. We didn't find this company in the E-Verify list — ask HR.
Salary vs prevailing wage
Level IV (fully competent)Software Developers · New York (state median of areas). Annual prevailing wages set by the Department of Labor (OFLC).
| Level | Prevailing wage | H-1B lottery odds* |
|---|---|---|
| Level I | $84,937 | ~15% |
| Level II | $107,244 | ~31% |
| Level III | $128,658 | ~46% |
| Level IV | $149,208 | ~61% |
This job pays $200,000–$250,000 a year — that's Level IV (fully competent). In the wage-weighted H-1B lottery a Level IV registration gets 4 entries; estimated selection chance about 61% — better than average.
* Odds are DHS projections for the FY2027 wage-weighted lottery (actual results vary by year and employer). Since the FY2027 cap season the H-1B lottery is weighted by wage level: Level I = 1 entry, II = 2, III = 3, IV = 4. The level is set by the offered wage against the prevailing wage for the occupation and worksite. Separately, a $100,000 fee for new H-1B petitions for workers outside the US was announced in 2025; as of September 2026 a federal court ruling keeps it unenforceable while appeals continue — check the current status.
Sources: U.S. Department of Labor OFLC disclosure data (H-1B/H-1B1/E-3 LCA, PERM), OFLC prevailing wage data, USCIS H-1B Employer Data Hub, E-Verify participating employers. Data loaded: LCA FY2024–FY2026, PERM, USCIS Data Hub, OFLC wages; updated 2026-10-03. Employers are matched by name, so records of companies with similar names can occasionally be mixed up. This is general information, not legal advice — talk to an immigration attorney about your case.