Senior Software Engineer / Lead Developer (Java, Python & Agentic AI) - Only W2

Role: Senior Software Engineer / Lead Developer Java, Python & Agentic AI Location: Minneapolis, MN (Onsite from Day 1) Job Type: W2 Contract Job Summary We are seeking a highly skilled Java and Python Developer with hands-on experience in Chat bot , Agentic AI systems, LLM orchestration, and AI-powered application development . The ideal candidate will design, develop, and deploy intelligent AI agents capable of reasoning, planning, tool usage, memory management, and autonomous task execution.

You will work closely with architects, product owners, and data scientists to build next-generation AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, and enterprise-grade backend systems.

Key Responsibilities

• Design and develop scalable applications using Java (Spring Boot) and Python.

• Build and deploy ChatBot, Agentic AI solutions using frameworks such as:

• LangChain

• LangGraph

• AutoGen

• CrewAI

• Semantic Kernel

• OpenAI Agents SDK

• Develop AI agents with capabilities including:

• Planning and reasoning

• Multi-agent collaboration

• Tool calling and function execution

• Memory management

• Knowledge retrieval (RAG)

• Integrate LLMs such as:

• Azure OpenAI

• OpenAI GPT Models

• Claude

• Gemini

• Open Source LLMs (Llama, Mistral)

• Design and implement REST APIs and microservices using Spring Boot and Python frameworks.

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases.

• Develop AI workflows using prompt engineering and agent orchestration patterns.

• Integrate enterprise data sources, APIs, databases, and third-party systems into AI applications.

• Optimize AI agent performance, scalability, security, and cost efficiency.

• Participate in architecture reviews, code reviews, and technical mentoring.

Required Qualifications Technical Skills

• 7+ years of software development experience.

• Strong expertise in:

• Java 11/17+

• Spring Boot

• Python

• Experience with:

• LangChain

• LangGraph

• CrewAI or AutoGen

• Semantic Kernel

• Strong understanding of:

• Agentic AI

• Generative AI

• Machine Learning fundamentals

• Prompt Engineering

• RAG architecture

• Experience with Vector Databases:

• Pinecone

• ChromaDB

• Weaviate

• Azure AI Search

• Cloud experience:

• Microsoft Azure (preferred)

• AWS or GCP

• Knowledge of:

• Docker

• Kubernetes

• CI/CD pipelines

• Git

Database Skills

• SQL Server
• PostgreSQL
• MongoDB
• Cosmos DB

Preferred Qualifications

• Experience building multi-agent AI platforms.
• Hands-on experience with Azure OpenAI Service.
• Familiarity with MCP (Model Context Protocol).
• Experience with AI observability, evaluation, and monitoring tools.
• Knowledge of graph databases such as Neo4j.
• AI certifications in Azure AI, OpenAI, Claude, LangChain, or related technologies.