Gen AI Engineer

Transreach Talent; United States; On-site; USD 150,000 - 180,000; Full time

Job summary

Transreach Talent is seeking a GenAI Engineer / AI Lead Software Engineer to design and implement Generative AI solutions for a healthcare payer contact-center platform. You will work with LLMs, Azure OpenAI or Vertex AI, and RAG architectures to deliver scalable, secure AI applications.

The role requires hands-on Python, 8+ years of software engineering with AI experience, and strong collaboration with Cloud, Data, ML, and Applications teams to drive production-grade AI capabilities.

Qualifications

• 8+ years of software engineering with 3+ years in AI/ML or Generative AI.
• Hands-on experience with Python and LLMs in production.
• Experience designing and deploying AI solutions in enterprise environments.

Responsibilities

• Design, develop, and deploy Generative AI applications using LLMs.
• Build AI-powered chatbots, virtual assistants, and automation for contact centers.
• Develop RAG pipelines with vector databases and retrieval techniques.
• Integrate AI capabilities with enterprise apps, APIs, and CRM platforms.
• Work with Azure OpenAI, Azure AI Services, or Vertex AI to production-grade solutions.
• Fine-tune and evaluate model performance for enterprise use cases.
• Collaborate with data and ML engineers on scalable AI architectures.
• Ensure AI apps meet security, compliance, and data privacy standards.
• Monitor model performance and continuously improve accuracy and efficiency.
• Stay updated on Generative AI, Agentic AI, and LLM frameworks.

Skills

Python

Generative AI

LLMs

Prompt Engineering

RAG pipelines

Azure OpenAI

Google Vertex AI

Vector Databases

LangChain

Distributed Systems

Tools

Pinecone

FAISS

ChromaDB

Azure AI Search

Job description

Job Title: GenAI Engineer / AI Lead Software Engineer

Experience: 6+Years
Location: United Stated
Employment Type: C2C
Visa Status: H1B

Job Summary

We are seeking an experienced GenAI Engineer to design, develop, and implement Generative AI solutions for a Contact Center platform within a Healthcare Payer environment. The ideal candidate will have hands‑on experience with LLMs, Azure OpenAI or Google Vertex AI, RAG architectures, AI agents, and cloud‑native AI services. You will collaborate with Cloud, Data, ML, and Application Engineering teams to build scalable, secure, and production‑ready AI applications.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
• Build AI‑powered chatbots, virtual assistants, and intelligent automation solutions for Contact Centers.
• Develop Retrieval‑Augmented Generation (RAG) pipelines using vector databases.
• Integrate AI capabilities with enterprise applications, APIs, and CRM platforms.
• Work with Azure OpenAI, Azure AI Services, or Google Vertex AI to build production‑grade AI solutions.
• Fine‑tune, optimize, and evaluate LLM performance for enterprise use cases.
• Collaborate with Data Engineers and ML Engineers to build scalable AI architectures.
• Ensure AI applications meet security, compliance, and data privacy standards.
• Monitor AI model performance and continuously improve accuracy and efficiency.
• Stay updated with the latest advancements in Generative AI, Agentic AI, and LLM frameworks.

Required Skills

• 8+ years of Software Engineering experience with at least 3+ years in AI/ML or Generative AI.
• Strong hands‑on experience with Python.
• Experience with Generative AI, Large Language Models (LLMs), and prompt engineering.
• Experience with Azure OpenAI, Azure AI Services, Google Vertex AI, or Google Cloud AI.
• Experience building RAG (Retrieval‑Augmented Generation) applications.
• Knowledge of LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
• Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, or Azure AI Search.
• Strong understanding of AI model deployment, APIs, and cloud‑native architectures.
• Experience integrating AI with REST APIs and enterprise applications.
• Strong understanding of data structures, software architecture, and distributed systems.
• Excellent communication and collaboration skills.