Protocols · Agents · Products

Forward-Deployed AI Engineers

Hire AI engineers who join your team, work inside your tools and ship AI agents to production. They've shipped 375+ projects since 2020, and you skip the long hiring cycle.

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How it works

Discover (week 1)
We map the workflow, the data and what "done" looks like, then agree the first release.
Embed
One to three Netixsol engineers join your stand-ups, repos and channels during your core hours.
Ship
Agents, assistants, evals and integrations go to production in small, tested releases.
Hand over
Documentation, training and monitoring, so your team can run and extend it.

What your engineers do

Turn a workflow into an agent your team can review and run.
Connect models to your systems: APIs, databases, documents and internal tools.
Set up evals, access rules and monitoring before launch.
Pair with your developers so the know-how stays in-house.

Want a complete agent delivered as a project? See AI agent development.

Why Netixsol

Time zones that overlap

Dubai and Pakistan cover Gulf and European working days and US mornings.

Shipped work

375+ projects since 2020, across AI agents, DeFi protocols and digital products.

Model choice

Leading models from the major AI labs, and open models, picked per use case.

Production habits

Tests, evals, access control and monitoring from the first release.

Recent work

StatGPT

An AI sports analyst we built: users ask in plain English and get answers built from NBA, AFL and AFLW player data.

Player stats analysis: Season, per-game, advanced and round-by-round stats, plus head-to-head comparisons over any recent run of games, with totals and averages.
Natural-language questions: Everyday questions become precise database queries, and the conversation is remembered.
Visual answers: Results come back as charts and stat tables, not just text.

Built with LangGraph agents on OpenAI models, PostgreSQL and semantic search.

See more of our work

Engagements

Team: 1–3 engineers, scaling as needed.
Length: From 4 weeks.
Hours: Overlapping your core hours.
Pricing: Scoped and quoted after a short discovery call.

Questions buyers ask

What is a forward-deployed engineer?

A forward-deployed engineer works inside your team, on your systems, until the AI is running in production. Unlike a remote contractor, they join your stand-ups, learn your workflows and hand over what they build. The model became common at AI labs that needed their technology adopted inside customer companies.