Gen AI Engineer

Title: Gen AI Engineer Location: NYC, NY (Hybrid) Position: Contract

Note: Face to Face interview must for final round

Primary Responsibilities
The developer will be working within a machine learning team/squad.
The team is working on developing Artificial Intelligence solutions including ML and Gen AI.
The candidate should be familiar with python development and prompt engineering.
The candidate should be able to work with different Clients/SME s and understand the business requirements proper python code development.
Good candidate should be familiar with ongoing monitoring.
Contribute to development and maintenance of the python library.
Contribute to the support of the library.
Participate in prompt engineering.
Maintain the prompts and keep them up to date with the new LLM versions.
Conduct regular testing and performance analysis.
Participate in prompt benchmarking experiments.

Skills Required
Hands-on experience in building python applications
Excellent Python development skills
Excellent architecture design skill for enterprise applications.
Knowledge of object-oriented programming and design patterns
Knowledge of system resiliency, observability, scalability and performance
Experience of Agile development
Strong analytical skills and passion for problem-solving
Good communication skills

Skills Desired
Experience with Open AI and different LLM models, conduct testing and performance evaluation is required.
Experience with Java development
Experience with machine learning, vector databases
Cloud-based application development preferably using Microsoft Azure Cloud
Prior experience in FinTech application development
Exposure to working in a global delivery team.
We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

Skill Area Match level Notes
Real-time GenAI Solutions Strong Chatbot, prompt workflows, OpenAI API
AI Agent Development Strong LangChain agents, multi-turn flow
Agentic Libraries (LangChain, etc.) Strong FAISS, LangChain, Ollama used extensively
Architecture /Design Patterns (RAG) Strong Multiple RAG implementations
Frameworks (CrewAI, Semantic Kernel) Partial Not mentioned