Agentic AI Application

About this Gig

Production-grade agentic AI applications built with LangChain, LangGraph, and the Anthropic SDK. I design and ship multi-step agents, tool-using workflows, and RAG pipelines that go beyond demo-ware: stateful graphs with proper memory, retries, and human-in-the-loop checkpoints; MCP server integrations to connect agents to your existing tools (Slack, GitHub, internal APIs, databases); RAG systems with hybrid retrieval, reranking, and evals so answers stay grounded; and full-stack deployment on AWS or Cloudflare with auth, observability, and cost controls baked in. Background: 9+ years of engineering (ex-Amazon, Groupon, Pillow), founder of InterviewLM (an AI-native hiring platform with 850+ assessments completed) and FRE|Nxt Labs (recognized as a Top 10 AI Consultancy in Bangalore). I work end to end, from architecture and prompt design through TypeScript or Python implementation, evals, and production rollout. Typical engagements: building a custom agent for a specific workflow, replacing a brittle prompt-chain with a proper LangGraph state machine, standing up a RAG system over your docs or data, or wiring Claude or other models into your product through MCP. Comfortable with both greenfield builds and untangling existing AI code that has stopped scaling.

Requirements

To scope accurately and start fast, please share: The problem or workflow you want the agent to handle, and what success looks like (a sample input and the ideal output helps a lot). Any existing codebase, repo access, or architecture docs, plus the stack you are on (Python or Node, framework, hosting). Data sources and tools the agent needs to reach: APIs, databases, internal docs, third-party SaaS, and whether MCP servers already exist for them. Model and budget preferences: Claude, GPT, open-source, or no preference; rough monthly inference budget if known. Constraints around latency, accuracy, compliance (PII, SOC2, HIPAA), and deployment environment (your cloud vs mine). Timeline and whether this is a one-off build, an ongoing engagement, or a prototype headed to production. A 20-minute intro call usually gets us to a clear scope and fixed-price or hourly proposal within 24 hours.

Related Tags