Agentic AI Engineer

VeeRteq Solutions Inc.

Chicago (IL)

Hybrid

USD 140,000 - 190,000

Full time

10 days ago
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Job summary

VeeRteq Solutions Inc. in Chicago, IL, is seeking an Agentic AI Engineer to design and integrate AI-powered agents into enterprise applications. You will leverage LLMs, RAG, and AI agents to deliver scalable solutions across business workflows.

The role emphasizes hands-on development with Python, REST APIs, and modern orchestration frameworks, while ensuring security, privacy, and performance. Hybrid work model required.

Qualifications

  • Experience designing Agentic AI solutions with LLMs, AI agents, and orchestration frameworks.
  • Hands-on implementation of RAG pipelines using enterprise data and knowledge sources.
  • Experience integrating AI with enterprise applications, APIs, and business workflows.

Responsibilities

  • Design and develop Agentic AI solutions using LLMs, AI agents, and orchestration frameworks.
  • Build and optimize RAG pipelines with enterprise data.
  • Integrate AI into enterprise apps, APIs, and business workflows.
  • Develop prompt strategies, tool 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.
  • Implement evaluation, monitoring, security, and responsible AI practices.
  • Collaborate with architects, developers, data teams, and stakeholders.
  • Ensure AI solutions meet security, privacy, performance, and scalability requirements.

Skills

Generative AI
Agentic AI
LLMs
Python
REST APIs
Embeddings & Semantic Search

Education

Bachelor's degree in Computer Science, IT, Engineering

Tools

LangChain
LangGraph
AutoGen
Semantic Kernel
Pinecone
Weaviate
Milvus
Azure
AWS
Docker
Kubernetes

Job description

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.

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