GenAI Data Scientist / Programmer

Anagh Technologies Inc; Jersey City (NJ); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Anagh Technologies Inc in Jersey City, NJ, is seeking an experienced GenAI Data Scientist / Programmer with hands-on expertise in Generative AI, LLM engineering, Python development, and Model Governance. You will deliver enterprise-grade GenAI solutions end-to-end, from design to deployment and monitoring.

The role requires strong backend skills, LangGraph, MCP, LangChain, LlamaIndex, RAG, and experience with Redis and MongoDB in enterprise settings.

Qualifications

• 2+ years of hands-on experience delivering end-to-end GenAI/LLM solutions in enterprise environments.
• Strong Python programming expertise.
• Experience building REST APIs, FastAPI, and WebSocket-based applications.
• Hands-on experience with LLMs such as GPT and LLaMA.
• Experience with agentic AI frameworks like LangGraph.
• Experience with MCP and skills-based orchestration.
• Strong experience with LangChain and LlamaIndex.
• Experience with embedding models (MiniLM-L6-v2, Nomic AI).
• Hands-on with RAG and evaluation frameworks (RAGAS, LangSmith, Arize).
• Experience with Redis and MongoDB in enterprise data stores.
• Hands-on experience with Model Governance and Model Risk Management.

Responsibilities

• Design, develop, test, deploy, monitor, and support enterprise GenAI applications.
• Explain complex technical concepts clearly to stakeholders.
• Deliver production-grade GenAI/LLM solutions, not just POCs.

Skills

Python programming

REST APIs

WebSocket

GPT/LLaMA

LangGraph

MCP

LangChain

LlamaIndex

RAG

Redis

MongoDB

Model Governance

Model Risk Management

Communication

Education

Bachelor's degree in IS/IT/CS/Data Science or related

10+ years IT experience

Tools

LangGraph

LangChain

LlamaIndex

RAGAS

LangSmith

Phoenix/Arize

Job description

Location: Jersey City, NJ - Hybrid (3 days/week onsite)

Interview: 1st Round Virtual to Final Round Onsite

Start: ASAP

Job Summary

Seeking an experienced GenAI Data Scientist / Programmer with strong hands-on expertise in Generative AI, LLM engineering, Python development, and Model Governance/Risk Management. The ideal candidate will have a proven track record of delivering enterprise-grade GenAI solutions end-to-end, rather than primarily proof-of-concept AI projects.

The candidate should have strong backend engineering skills combined with modern LLM technologies, agentic frameworks, RAG, evaluation frameworks, and experience operating AI solutions within enterprise governance and model risk requirements.

Required Skills & Experience

• 2+ years of hands-on professional experience delivering end-to-end Generative AI / LLM solutions in enterprise environments.
• Strong Python programming expertise.
• Experience building REST APIs, FastAPI, and WebSocket-based applications.
• Hands-on experience with Large Language Models such as GPT and LLaMA.
• Experience with Agentic AI frameworks, particularly LangGraph.
• Experience with MCP (Model Context Protocol) and skills-based orchestration.
• Strong experience with LangChain and LlamaIndex.
• Experience with embedding models, including all‑MiniLM‑L6‑v2, Nomic AI, or similar.
• Hands-on experience with RAG and RAG evaluation frameworks such as:
• RAGAS
• LangSmith
• Phoenix / Arize
• Experience with enterprise data stores including Redis and MongoDB.
• Hands-on experience with Model Governance and Model Risk Management, including:
• Governance and compliance requirements
• Performance controls
• Ability to design, develop, test, deploy, monitor, and support enterprise GenAI applications.
• Strong written and verbal communication skills with the ability to explain complex technical concepts clearly.

Preferred Skills

• Experience with distributed and big data technologies:
• Kafka
• Hadoop / Hive
• Neo4j
• Experience with Machine Learning, classifiers, and statistical modeling.
• Experience working with enterprise-scale data and AI platforms.
• Advanced degree or equivalent experience in Data Science, Mathematics, Statistics, Computer Science, or another quantitative discipline.

Education & Experience

• Bachelor’s degree in IS/IT, Computer Science, Data Science, Mathematics, Statistics, or a related discipline, or equivalent professional experience.
• Typically 10+ years of overall IT experience, including experience contributing to or leading complex enterprise initiatives.
• Strong technical leadership and problem-solving capabilities.
• Self-starter who can work independently while collaborating effectively with cross‑functional teams.

What We Are Looking For

The strongest candidates will demonstrate a combination of hands-on GenAI engineering and enterprise Model Governance/Model Risk Management experience.

We are specifically looking for candidates who have:

• Delivered production-grade GenAI/LLM solutions, not just POCs.
• Modern LLM ecosystem expertise including LangGraph, MCP, LangChain, LlamaIndex, RAG, and evaluation frameworks.
• Experience taking AI solutions through enterprise governance, documentation, monitoring, and risk controls.
• The ability to communicate technical concepts effectively to both technical and business stakeholders.

Interview Process

Round 1: Virtual interview, camera on - 30-45 minutes