You bought the platform. Now you need the team to deploy it.

Buying the platform is only the first step. Now you need experienced Engineers to implement it. Traditional hiring takes three to six months. Our Forward-Deployed Engineers are ready in days.

Request Pre-Vetted FDEs

Talk to us if…

You are in the process of implementing a powerful platform such as Palantir, Databricks, Snowflake or GitLab.

Your platform isn't delivering value as quickly as expected.

Hiring specialist engineers is delaying implementation.

Vendor Professional Services aren't the right fit.

You need experienced Forward-Deployed Engineers ready in days, not months.

Why Companies Choose Gigster

Pre-vetted Forward-Deployed Engineers, ready in days.

We've already done the hard work of finding and qualifying top platform specialists, so you don't have to spend months hiring. Interview-ready Forward-Deployed Engineers are available when you need them.

✓ Pre-vetted specialists across Databricks, Snowflake, Palantir Foundry, AWS, Azure, and more.

✓ Deploy individual FDEs or outcome-focused managed teams.

Backed by strategic partnerships with leading AI and cloud platforms.

Is This the Right Solution for You?

Built for organizations that have invested in AI and data platforms but need experienced specialists to implement them faster without waiting months to hire.

We can train our Engineers

REALITY

You can, but it takes months. Our experienced FDEs shorten time-to-value, help avoid first-time implementation mistakes, and bring proven platform expertise from day one.

We'll just hire

REALITY

A three-to-six-month senior-specialist loop on a deal cycle that won't wait.

We have a recruitment agency

REALITY

Recruitment agencies fill roles. They don't provide experienced platform specialists ready to deploy.

We have a vendor partner

REALITY

Great for large strategic engagements, but often expensive, capacity constrained, and built for the largest accounts.

Request Pre-Vetted FDEs

PLATFORMS

AI & Data Platforms We Support

TIER 1

AI & data platforms

Databricks

Snowflake

Palantir Foundry

MongoDB Atlas

GitLab

TIER 2

Hyperscaler AI

AWS Bedrock

GCP Vertex

Azure AI Foundry

TIER 3

Sovereign & open-weight AI

Mistral

Llama

Nemotron

Hugging Face

model-serving infrastructure (vLLM, TGI, Triton)

TIER 4

Frontier model API

Anthropic

OpenAI

Cohere

Gemini

TIER 5

Retrieval & vector

Pinecone

Weaviate

pgvector

hybrid search

Plus AI-native product specialists for Series B/C startups embedding into their own enterprise deployments. For platforms outside our anchor benches, we run a fast-turn specialist recruit through the same screening pipeline against our 50,000-engineer network.

How We Select Our FDEs

Platform depth

Production work, not certifications; reference checks against shipped systems

Generalist build instinct

Writes the glue code, the integration, the pipeline, the dashboard; doesn't wait for tickets

Customer-facing comfort

Can run discovery, lead a workshop, defend a recommendation in front of a CTO

Outcome ownership

Has shipped end-to-end before; comfortable being measured against an adoption or consumption metric

Days, not weeks or months

From “we need a Databricks pod” to interview-ready candidates in front of you.

Engagement shapes

Two ways to work with us

Talent on Demand

Start immediately with pre-vetted FDEs.

Start immediately with pre-vetted FDEs. You manage the engagement with flexible daily or monthly contracts, backed by a two-week satisfaction guarantee.

Managed FDE Pod

We wrap the team and own the outcome.

We wrap the team with an engagement lead, weekly outcome check-ins, and a defined success metric - consumption ramp, time-to-production, adoption KPI, or deal-conversion rate for AI-native ICP. Outcome-priced, fixed-fee, or T&M with a gainshare component.

Switch between Talent On-Demand and Managed FDE Pods as your needs evolve.

What FDEs do once embedded

Build the integrations and workflows needed to make the platform work with your systems and data.

Work alongside your Engineers, transferring knowledge throughout the engagement.

Configure the platform end-to-end: ingestion, transformation, semantic layer, governance, observability

WHY GIGSTER

Why Choose Gigster?

VS

Internal hiring

We've already spent hundreds of hours sourcing, interviewing, and qualifying Forward-Deployed Engineers, so you don't have to. Instead of spending 3 - 6 months hiring, you can interview pre-vetted specialists who are ready to deploy in days.

VS

Recruitment and talent agencies

Recruiters help you find candidates. We provide experienced FDEs who understand the platform, deliver outcomes, and are ready to deploy in days.

VS

Platform vendor PS

Vendor PS is excellent but built around the largest deals at premium rates. We complement, not compete - same FDE-grade output, faster, accessible to the next 90% of the platform's customer base. Where the vendor is a partner of ours, we co-fund engagements through their incentive programs.

VS

Big consultancies

Same outcome at a fraction of the rate, senior engineers all the way through, no pyramid, no proposal cycle.

Request Pre-Vetted FDEs

PROOF

Proven at Enterprise Scale

50,000+

Engineers in the Gigster network to recruit against.

~800

Pre-screened core platform specialists on the bench.

~80

Shipped client engagements across consumer, fintech, healthcare, retail & industrial.

✓ Senior-engineer-led delivery on every project - no pyramid, no offshore handoff

✓ Methodology: AI lifecycle catalogue (Augment, Control, Sovereign, Eval) plus a parallel software delivery lifecycle.

✓ Owned IP: Helias cost-optimization included in every consumption-platform FDE engagement.

Gigster is built on one principle: outcomes over hours. Forward-Deployed Engineers are measured by what gets deployed, adopted, and delivered, not the hours they log.

Outcomes, Guaranteed

FAQ

Questions, answered.

What is a Forward-Deployed Engineer (FDE)?

A Forward-Deployed Engineer (FDE) is a senior implementation specialist who combines deep platform expertise with hands-on engineering experience. Gigster's FDEs embed directly into your team to implement, integrate, and optimize AI and data platforms, helping you accelerate time-to-value while delivering measurable business outcomes.

When should I hire a Forward-Deployed Engineer instead of a traditional software engineer?

Hire a Forward-Deployed Engineer when you've invested in an AI or data platform but don't have the specialist expertise to implement it quickly. Whether you're deploying Databricks, Snowflake, Palantir Foundry, or another enterprise platform, Gigster's FDEs bring proven implementation experience from day one, helping reduce risk and accelerate time-to-value.

How do Gigster's Forward-Deployed Engineers work with existing engineering teams?

Gigster's FDEs integrate directly into your engineering team and existing workflows. They implement your platform, solve technical challenges, and transfer knowledge throughout the engagement so your team is equipped to support and extend the platform long after deployment.

How quickly can Gigster deploy a Forward-Deployed Engineer?

Gigster can deploy experienced Forward-Deployed Engineers in days, not months. Instead of spending three to six months hiring specialist talent, you gain access to engineers who are ready to contribute from day one, helping you accelerate implementation and start realizing value sooner.

Why choose Gigster instead of hiring or using a recruitment agency?

Recruitment agencies help you find candidates. Gigster provides experienced Forward-Deployed Engineers who have already been vetted for platform expertise and real-world implementation experience. Whether you need a single FDE or a managed team, you can deploy proven specialists quickly and focus on delivering outcomes instead of managing lengthy hiring processes.

Start realizing value from your platform investment faster.

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