Job Title: Agentic AI Engineer
Location: Chicago, IL (Hybrid 3 Days Onsite / Week)
Role Summary
We are seeking an experienced Agentic AI Engineer to design, develop, and integrate AI-powered agents and intelligent solutions into enterprise applications. The ideal candidate will have strong hands-on experience with LLMs, RAG, AI agents, Python, and enterprise application integration.
Key Responsibilities
- Design and develop Agentic AI solutions using LLMs, AI agents, and orchestration frameworks.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using enterprise data and knowledge sources.
- Integrate AI capabilities into enterprise applications, APIs, and business workflows.
- Develop prompt strategies, tool/function calling, memory, and multi-agent workflows.
- Build scalable AI services using Python and REST APIs.
- Work with vector databases and embedding models for semantic search and knowledge retrieval.
- Implement evaluation, monitoring, security, and responsible AI practices.
- Collaborate with architects, developers, data teams, and business stakeholders.
- Ensure AI solutions meet enterprise security, privacy, performance, and scalability requirements.
Required Skills
- Strong experience with Generative AI and Agentic AI
- Hands-on experience with LLMs such as GPT, Claude, Gemini, or similar
- Strong RAG architecture and implementation experience
- Experience with AI Agent frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar
- Strong Python development experience
- Experience integrating AI with enterprise applications and REST APIs
- Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, or similar
- Knowledge of embeddings, prompt engineering, semantic search, and LLM evaluation
- Experience with cloud platforms, preferably Azure or AWS
- Understanding of API security, data privacy, and enterprise application architecture
Preferred Skills
- Experience with Azure OpenAI
- Microsoft Copilot / Copilot Studio
- Azure AI Search
- Knowledge of MCP, tool calling, function calling, and agent orchestration
- Experience with SQL and enterprise databases
- Docker, Kubernetes, CI/CD, and DevOps
- Experience deploying AI solutions in production environments
- Healthcare, financial services, or other regulated-industry experience is a plus
Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred.
VeeRteq Solutions is an Equal Opportunity Employer.