Sr AI Engineer

National Computer Systems

Chicago, IL, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Kubernetes Security Artificial Intelligence User Authentication Microsoft Azure Code Review Continuous Integration JSON Python (Programming Language) PostgreSQL Microsoft SQL Server Performance Tuning Azure Machine Learning

+14 more

Search Technologies Software Deployment SQL Databases Enterprise Software Applications Large Language Models Prompt Engineering Generative AI Git Fastapi HuggingFace Virtual Agents Api Design Restful APIs Docker

Job description

Responsible for designing, developing, and deploying scalable AI and Generative AI solutions using LLMs, RAG, and AI agents. The role includes integrating AI solutions with enterprise applications, building APIs, evaluating AI outputs, optimizing performance, and ensuring security and responsible AI practices.

Requirements

Senior-level Expectation: Strong experience in end-to-end AI solution development, architecture/design, production deployment, troubleshooting, performance optimization, code reviews, and technical mentoring.

Technical Skills Required:

Programming: Python, SQL

Generative AI: LLMs, Prompt Engineering, RAG, AI Agents/Agentic AI

AI Technologies: Embeddings, Vector Search, Semantic/Hybrid Search, Function Calling

Frameworks: LangChain, LlamaIndex, Semantic Kernel, Hugging Face

API Development: FastAPI, REST APIs, JSON

Cloud: Azure OpenAI, Azure AI Search, Azure AI Services

Databases: SQL Server/PostgreSQL, Vector Databases

AI Quality: LLM Evaluation, RAG Evaluation, Hallucination Reduction, Guardrails

DevOps: Git, Azure DevOps, CI/CD, Docker, Kubernetes

Security: Responsible AI, Data Privacy, Authentication and AI Security