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A forward-deployed engineer owns whether it works, not just the demo.

A forward-deployed engineer sits inside your team, on your systems, your data and your rules. They find the real problem, build the smallest first slice worth shipping, prove it with tests you agree, get it through your security and governance review, and hand over something your team can run.

From $1,000Per month, 2+ years' experience
1 weekFree trial, no commitment
10×Guaranteed productivity

In shortAn IndaPoint forward-deployed AI engineer works inside a client's team and systems: discovery first, then the smallest useful first slice, a test set both sides sign, security and governance review, go-live and a handover the client's team can run. Engaged hourly, weekly or monthly after a one-week free trial.

No-obligation trial

One week free, for every person you hire.

Every resource starts with a one-week free trial on your real work, so you can judge their skills, communication and how they fit your team. Not right? You pay nothing and there is no obligation to continue.

Start the free week

What they do

  • Run discovery with operations, finance and IT security
  • Build the first slice inside your identity, data and tools
  • Write the evaluation set and acceptance criteria with you
  • Prepare the security and governance review
  • Deploy to cloud, on-premise or air-gapped servers
  • Hand over a runbook and train your team

Skills and stack

  • LLM applications, retrieval, evaluation and agent orchestration
  • Integration with your systems over APIs and MCP, with per-user access
  • Python, cloud and containers
  • Customer discovery and stakeholder management

A good fit when

A pilot works on sample data but has stalled on integration, approval or governance.

How an engagement runs

  1. 1

    Discovery

    Interviews with the people who do the work: how the workflow really runs, what data exists, and the constraint nobody mentions.

  2. 2

    The first slice

    The problem priced in hours and money, then cut to the smallest piece that ships in weeks. Sometimes the honest answer is that a workflow is not worth automating.

  3. 3

    One-page brief

    The problem, the first slice, the success metric and what is out of scope. You sign it.

  4. 4

    Build inside your systems

    Your identity, your data and your ticketing. Access is scoped and every call is logged.

  5. 5

    The test set is the contract

    Built from your own cases and frozen before the system is good, so "done" cannot move.

  6. 6

    Security and governance review

    Prompt-injection and data-leakage checks, access, data residency, and human approval set to your risk appetite.

  7. 7

    Go-live and handover

    A runbook, an on-call path, cost limits and training for your team: a deployment, not a dependency.

What you get

  • Engagement brief
  • Integration map
  • Test-set contract
  • Security review pack
  • Governance sheet
  • Go-live and handover pack

How to start

  1. 1

    Tell us the role and the work

    The role you need, the stack you run, and what a good week looks like.

  2. 2

    Meet the engineer

    A shortlist within days. You interview, you choose.

  3. 3

    One week free

    They start on your real backlog. If it isn't working, you owe nothing.

  4. 4

    Scale up or down

    Hourly, weekly or monthly. Add people as the work grows, pause when it doesn't.

Terms

  • Hourly, weekly or monthly. Switch as the work changes.
  • A one-week free, no-obligation trial on your real work for every person, to judge skills, communication and fit. Not happy at the end of it, and you pay nothing.
  • From USD 1,000 per month for a developer with two years' experience, rising with seniority and role. You see the exact figure before the free week starts.
  • Hire more than five people and the whole team gets a bulk discount.
  • Every person holds our AI development certification and the Claude certification from Anthropic.
  • An IndaPoint lead stays accountable for quality, continuity and replacement.
  • They work in your repositories and tools, under your access policies. NDAs and background checks are standard.
  • Based in India, with overlap for US, European and Middle East hours. On-site in India is possible.

Questions we're asked

How is an FDE different from an AI engineer?

An AI engineer builds to a plan. An FDE also finds the problem, agrees how success is measured, and stays until it passes review and your team can run it.

Cloud, on-premise or air-gapped?

Where your data has to stay decides where the system runs. All three are supported.

What do we have at the end?

Six documents and a running system: the brief, the integration map, the test-set contract, the security pack, the governance sheet and the go-live and handover pack.

Other roles

Or combine them into a team, with a bulk discount for more than five people: team packages.

Need a forward-deployed AI engineer next week?

Tell us the work and the stack. We'll send a shortlist within days, and the first week is free.

Book the free consultation