GenAI Data Scientist Programmer ,,
Location: Jersey City, NJ (Hybrid 3x a week)
Top 3-5 Skillsets / Experience needed (must haves)
- 2+ years of hands-on experience delivering end-to-end GenAI / LLM-based solutions in enterprise environments
- Strong Python dev expertise with experience building REST APIs, FastAPI, and WebSocket-based applications
- Experience with Large LLM's (GPT, LLaMA), Agentic frameworks (LangGraph), and orchestration frameworks such as MCP
- Hands-on experience with LangChain, LlamaIndex, embedding models, and RAG evaluation frameworks including RAGAS, LangSmith, and Phoenix/Arize
- Experience with Model Governance / Model Risk Management including model documentation, governance compliance, monitoring, and performance controls
Top 3-5 Skillsets / Experiences preferred (nice to haves)
- Java development experience
- Experience with enterprise data stores including Redis and MongoDB
- Experience with distributed/big data technologies including Spark, Kafka, Hadoop/Hive, Slurm, and Neo4j
- Experience with machine learning techniques, classifiers, and statistical modeling
- Advanced degree or equivalent experience in Data Science, Mathematics, Statistics, or another quantitative discipline
If so, what have been the struggles with finding this person
- Need strong combination of hands-on GenAI engineering plus governance/model risk experience
- Market is heavy with proof-of-concept AI profiles but lighter on candidates who have delivered enterprise-grade governed AI solutions
- Need candidates with both strong Python/backend engineering depth and modern LLM ecosystem experience
Interview Process
1st interview: Virtual, camera on, 30-45min
2nd interview: Onsite, 1-2hrs
1. 2+ years of professional experience executing end-to-end Generative AI projects using:
Large Language Models (e.g., GPT, LLaMA)
MCP (skills-based orchestration)
Agentic frameworks (e.g., LangGraph)
LLM development frameworks (LangChain, LlamaIndex)
Embedding models (e.g., all-MiniLM-L6-v2, nomic-ai)
Evaluation frameworks (RAGAS, LangSmith, Phoenix/Arize)
REST APIs, FastAPI, WebSockets
Enterprise data stores (Redis, MongoDB)
2. Strong Python programming expertise
Java development is a significant plus
3. Model Governance & Risk Management
Must have hands-on experience with Model Risk Management and Model Governance, including:
Delivering GenAI solutions in compliance with governance guidelines
Authoring formal model documentation
Designing and implementing model monitoring and performance controls
1. Bachelor's degree (or advanced degree) in a related IS/IT discipline, or equivalent professional experience
2. Typically, 10+ years of overall IT experience, including leadership on complex, enterprise initiatives
3. Leadership qualities, and should be able to effectively communicate difficult technical concepts.
No previous banking experience is okay.
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