Open to Remote Roles
Senior AI Engineer

Building AI Systems
That Ship to Production

I design and deliver production multi-agent systems โ€” from LangGraph orchestration and MCP server development, to system prompt engineering and agent evaluation pipelines. I care about agents that work in the real world, not just in demos.

Multi-Agent Systems MCP Servers Prompt Engineering Agent Evaluation
10+
AI Systems Built
3+
Years in AI/ML
5+
MCP Integrations
Akshay Kumar BM โ€” Senior AI Engineer
๐Ÿ Python
๐Ÿ”— LangGraph
โšก FastAPI
๐Ÿค– MCP

Where I Deliver Value

Deep specialization across the full lifecycle of production AI systems

Agent Architecture

Designing and shipping production multi-agent pipelines using LangChain and LangGraph โ€” with robust state machines, tool routing, and failure handling.

  • Multi-agent orchestration
  • Autonomous agent design
  • LangGraph state machines
  • Tool use & routing logic

MCP Server Development

Building custom MCP (Model Context Protocol) servers and integrating enterprise tools โ€” giving LLMs structured, reliable access to real systems.

  • Custom MCP server build
  • Tool schema design
  • Jira / Confluence / GitHub
  • Playwright-based scrapers

Prompt Engineering

Crafting production-grade system prompts โ€” with precise output formatting, structured reasoning chains, and versioned prompt management.

  • System prompt design
  • Chain-of-thought prompting
  • Structured output control
  • Prompt versioning

Agent Evaluation

Designing eval frameworks that catch regressions before production โ€” LLM-as-judge pipelines, tracing, scoring, and behavioral reliability testing.

  • Eval framework design
  • LLM-as-judge pipelines
  • Regression testing
  • Tracing & observability

RAG & LLM Infrastructure

End-to-end RAG pipelines โ€” from embedding strategy and chunking to retrieval optimization and vector store management at scale.

  • RAG pipeline design
  • Vector DB management
  • Embedding strategies
  • Retrieval optimization

Cloud & API Backend

Production-grade FastAPI backends and cloud deployments on AWS โ€” containerized, CI/CD-ready, and built to scale with AI workloads.

  • FastAPI microservices
  • AWS / GCP deployment
  • Docker & CI/CD
  • Async API design

Things I've Shipped

Production AI systems delivering measurable impact

Supply Chain Forecasting System

ML-Powered Supply Chain Forecasting

Enterprise ML pipeline for supply chain optimization โ€” 92% accuracy, containerized deployment with full CI/CD.

Python Scikit-learn Flask Docker
92% Accuracy ยท 25% Cost Reduction

Enterprise Knowledge Assistant

RAG chatbot integrated with Slack โ€” instant access to org knowledge with 95% retrieval accuracy and 1000+ queries/week.

RAG Slack API OpenAI FAISS
1000+ Queries/Week ยท 95% Accuracy

Enterprise Sales AI Agent

AWS Bedrock conversational AI for sales automation โ€” full serverless architecture built and deployed in 48 hours.

AWS Bedrock Lambda S3 API Gateway
48hr Build ยท Serverless Architecture

Tech Stack

Tools and technologies I use to build production AI systems

Languages & Frameworks

Python
FastAPI
PostgreSQL
Pandas / NumPy

Agent & LLM Stack

LangChain / LangGraph
MCP Servers
Prompt Engineering
Agent Evaluation
RAG Systems

Cloud & DevOps

AWS (EC2, S3, Lambda)
Docker
CI/CD ยท GitHub Actions
Grafana / Loki

LLM Models & Tools

OpenAI / Anthropic Claude
Gemini
Ollama / vLLM
Vector DBs (FAISS, Chroma)
Akshay Kumar BM

I build AI systems that work in production

Senior AI Engineer with 3+ years building and deploying intelligent systems. My core focus is production multi-agent architecture โ€” specifically agent orchestration, MCP server development, precise prompt engineering, and the eval frameworks that make it all trustworthy enough to ship.

I've shipped everything from invoice-parsing chatbots and enterprise RAG systems to Slack-integrated knowledge assistants and cloud-native AI agents on AWS Bedrock. I care deeply about the gap between "it works in a notebook" and "it works in prod" โ€” and I've spent years closing that gap.

Production-First Mindset

Every system I design accounts for failure modes, deterministic routing, and observability from day one.

MCP & Tooling Expert

Built custom MCP servers integrating Jira, Confluence, GitHub, Grafana, and LMS platforms for real enterprise workflows.

Evaluation-Driven Development

I don't ship agents without evals. LLM-as-judge, regression suites, and tracing are part of every delivery.

Let's Build Something Real

Open to remote Senior AI Engineer roles and interesting agent / LLM infrastructure projects

Phone

(+91) 9164623536

LinkedIn

akshay-kumar-bm