Scaling AI agents in production.

We build the infrastructure, reliability, and engineering muscle that turns prototype agents into systems your business can depend on.

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Who we are

Bitgeek Technologies is an India-based engineering consultancy. We work with teams shipping AI agents and chat products into production — the messy middle between a working demo and a system real users depend on. We've spent years running Rails, Python, and distributed systems at scale, and we bring that operational discipline to the agent stack.

What we do

Eight focused practice areas, all delivered by senior engineers. Hover to pause.

Agent Infrastructure

Tooling, evals, orchestration, memory, and tracing — the plumbing your agents need to be debuggable and improvable.

Production Reliability

SLOs, observability, retries, fallbacks, and cost guardrails. Make agent behaviour predictable under real load.

Chat Agents

Design, build, and harden conversational agents — from prompt architecture to tool use to handoff flows.

AI Engineering

Model selection, prompt and context engineering, RAG, fine-tuning trade-offs, and evaluation pipelines.

Scaling & Performance

Throughput, latency, and cost work for backends under pressure — caching, queues, sharding, and the boring wins.

DevOps & Platform

CI/CD, infra-as-code, container and cloud platform work. Stable foundations for fast-moving teams.

Rails Consulting

Senior Rails help on architecture, upgrades, performance, and long-running codebases that need a steady hand.

Python Engineering

Backend services, data and ML pipelines, async workloads — Python work done by people who've shipped it for a decade.

Trainings

Cohort-based and team-private workshops for engineering teams. From foundations to production — every track is hands-on, opinionated, and led by senior engineers. Custom curricula on request.

Agentic Coding with Claude

Pair-programming with Claude Code end to end — hooks, MCP, sub-agents, planning, and the workflows that actually move work forward.

Claude Agent Skills

Design, write, and ship reusable Skills for the Claude Agent SDK. From idea to versioned, well-evaluated skill in your repo.

Claude API & SDK

Build production apps on the Claude API — prompt caching, tool use, streaming, batch, and cost-aware patterns.

LLM Engineering

Prompt and context engineering, RAG done right, fine-tuning trade-offs, structured output, and shipping models behind real products.

LLM Evals & Observability

Build the eval pipelines that tell you what is actually improving — golden sets, regression tests, tracing, and judge models.

DevOps Foundations

Linux, networking, containers, and cloud platform basics. The bedrock for everything that comes after.

CI/CD in Practice

Pipelines, quality gates, environments, secrets, and progressive delivery. From commit to production with confidence.

Python Engineering

Backend services, async workloads, packaging, and data pipelines. Production-grade Python by people who have shipped it for years.

Ruby Fundamentals

The language, idioms, and the parts that make Ruby feel like Ruby. A solid base for Rails, scripts, and tools.

Ruby on Rails

Modern Rails for senior engineers — architecture, performance, background jobs, upgrades, and patterns that age well.

Production Reliability

SLOs, observability, on-call, postmortems, and the discipline that keeps systems trustworthy under load.

Custom Workshops

Tell us what your team needs to learn. We will build a focused, hands-on curriculum around your codebase and constraints.

How we work

  • Senior engineers only — the people you talk to are the people doing the work.
  • Production-first thinking. Demos are easy; uptime is the job.
  • Evals before optimisations. Measure, then move.
  • Small engagements over big ones. We'd rather ship one thing well.
  • Plain English. No jargon walls between you and your own system.

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