AI Engineer

TATA Consulting Services•Des Moines, IA

32d•$85,000 - $105,000

About The Position

AI Engineer Must Have Technical/Functional Skills Build, deploy, and optimize full-stack AI-powered applications using LLMs, intelligent agents, and ML. Design and scale RAG pipelines, vector search systems, and LLM evaluation workflows. Create AI agents with frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph. Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval). Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows. Integrate enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf. Drive document automation and multilingual NLP (summarization, translation, NER). Implement observability, governance, and responsible AI practices in compliance with regulations. Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions.

Requirements

5+ years in software engineering or data science, with 1+ year in GenAI/LLM/Agentic AI.
Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD).
Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.).
Strong knowledge of LLMs, embeddings, prompt engineering, and tool use.
Proven ability to prototype, iterate, and scale AI-enabled features.
AI-first developer mindset: using AI for scaffolding, testing, and refactoring code.

Nice To Haves

Familiarity with compliance/regulatory needs in insurance or financial services (preferred).

Responsibilities

Build, deploy, and optimize full-stack AI-powered applications using LLMs, intelligent agents, and ML.
Design and scale RAG pipelines, vector search systems, and LLM evaluation workflows.
Create AI agents with frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph.
Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval).
Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows.
Integrate enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf.
Drive document automation and multilingual NLP (summarization, translation, NER).
Implement observability, governance, and responsible AI practices in compliance with regulations.
Collaborate with IT, data, compliance, and business leaders to deliver business-facing solutions.

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