AI Agent Engineer | Autonomous Systems Architect
I design and build autonomous AI agents that automate complex business processes. Using LangChain and modern LLM architectures, I create intelligent systems that reason, plan, and execute tasks independently—transforming how organizations handle data processing, decision-making, and workflow automation.
Location: Salem, Tamil Nadu, India
Focus Areas: Autonomous AI Agents, Process Automation, LLM Orchestration, Agent Infrastructure
- Build self-directed agents using LangChain and LangGraph for end-to-end process automation
- Design agent workflows that handle multi-step reasoning, tool selection, and dynamic decision-making
- Implement process-specific agents for data extraction, report generation, and business intelligence
- Architect robust prompt engineering systems for reliable agent behavior
- Implement function calling and tool use for agents to interact with APIs, databases, and external services
- Fine-tune agent performance through iterative testing and optimization
- Deploy agent systems to cloud platforms (Vercel, Render, AWS Lambda)
- Build scalable agent architectures with state management and memory systems
- Set up monitoring and logging for production agent deployments
- Develop Retrieval-Augmented Generation (RAG) pipelines for context-aware agents
- Integrate vector databases (Pinecone, ChromaDB) for agent memory and knowledge retrieval
- Create knowledge bases that enable agents to access and reason over domain-specific information
I implement proven patterns for reliable agent systems:
- ReAct (Reasoning + Acting) - Agents that think step-by-step before taking actions
- Plan-and-Solve - Multi-step planning agents for complex task decomposition
- Tool-Augmented Agents - Agents that intelligently select and use external tools
- Multi-Agent Systems - Collaborative agent networks for distributed problem-solving
- RAG-Enhanced Agents - Context-aware agents with knowledge retrieval capabilities
I'm looking to collaborate on AI agent projects that automate real business processes:
- Process Automation Agents - Automate repetitive workflows and data processing pipelines
- Intelligent Assistants - Build context-aware agents for customer support or research
- Multi-Agent Systems - Design agent teams that collaborate on complex tasks
- Agent Infrastructure - Set up scalable, production-ready agent deployments
Have a process that needs an intelligent agent? Let's discuss how to automate it.
I'm interested in roles where I can architect and build autonomous AI systems:
- AI Agent Engineer positions
- LLM Application Developer roles
- Autonomous Systems Architect opportunities
- Process Automation consulting projects
Open to: Full-time roles, contract projects, and freelance agent development