V
Agentic AI Engineer
VeeRteq Solutions Inc.
2 hours ago
Full-time
On-site
Chicago, Illinois, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr