Hire Senior AI & ML Engineers —
Sourced From Our European + Indian Network
We're not an in-house AI consultancy — we're a senior IT recruitment specialist. Tell us the role (LLM, RAG, MLOps, AI-augmented QA), the stack, and the start date. We send vetted shortlist candidates from our European and Indian network in 48 hours. Typical placement: 2–4 weeks.
How We Actually Work
Most firms claim "our AI team delivered X" — we don't. Here's our real model.
What We Do
We source senior AI/ML engineers from our European and Indian recruitment network. You define the role; we find the right person; we handle contracting, payroll, and the admin.
What We Don't Do
We don't pretend to have a 20-engineer AI team waiting on a bench. We don't sell fixed-bid AI products. We don't do training-from-scratch model work as a service.
Why That's Better
You get an engineer matched to your exact stack and seniority — not whoever happens to be benched. We're transparent about timeline, sourcing, and what we can deliver.
AI / ML Roles We Recruit For
LLM Engineers
Senior engineers with production OpenAI, Anthropic, or open-source LLM experience. Prompt engineering, eval pipelines, cost optimization, multi-tenant deployments.
RAG Engineers
Retrieval-augmented generation specialists: chunking strategy, embeddings, hybrid search, re-ranking, vector DB integration. pgvector, Pinecone, Qdrant, Weaviate.
MLOps Engineers
Model versioning, drift detection, feature stores, A/B testing, inference cost optimization. AWS Bedrock/SageMaker, Vertex AI, self-hosted GPU clusters.
AI-Augmented QA Engineers
QA specialists comfortable with AI-assisted test generation, self-healing selector frameworks, and AI-powered flakiness detection. Robot Framework, Playwright.
AI Security Specialists
Prompt-injection testing, model poisoning assessment, LLM output safety audits, adversarial testing. NIST AI RMF and OWASP LLM Top 10 familiar.
Data Engineers for AI
Data pipeline engineers for AI/ML workloads. dbt, Airflow, Spark, Snowflake, BigQuery. Building feature stores and ETL for ML training.
From Role-Open to Engineer-Onboarded
Day 0–2: Role Brief
You send the role spec — stack, seniority, start date, budget, EU-resident or remote OK.
Day 2–4: Shortlist
We respond in 48 hours with 3–5 vetted candidates from our network with CVs and rate ranges.
Week 1–2: Interview
You interview the candidates. We handle scheduling. Tech screens, culture fit, references.
Week 2–4: Onboard
MSA + NDA signed, payroll set up, engineer joins your standups. Day-1 productivity.
If our existing network doesn't have a match, active search adds 2–4 weeks. We're transparent upfront — no commitments until we've confirmed we can deliver.
Sourcing Engagement Models
AI Hiring Consultation
30-minute call. We help you scope the role, set realistic rates, and explain what your sourcing options look like in this market.
Book CallAI Talent Sourcing Engagement
We source and place senior AI/ML engineers from our network. Monthly billing, scale up or down freely. EU or remote-friendly.
Send Role SpecRetained Search
Direct-hire placement. Hard-to-find AI roles. We actively recruit through our partner network until we find the right person.
Get QuoteAI Hiring FAQ
Do you have AI engineers on staff or do you recruit them?
We source AI/ML talent on-demand from our European and Indian recruitment network. We're an IT recruitment specialist, not an in-house AI consultancy. This means you get the right engineer for your specific stack and timeline, rather than whoever happened to be on a bench. Typical placement: 2–4 weeks.
What AI roles can you source?
LLM engineers (OpenAI/Anthropic/open-source), RAG engineers (vector search, retrieval pipelines), MLOps engineers (MLflow, Kubeflow, SageMaker, Vertex AI), AI-augmented QA engineers, data engineers for AI pipelines, and AI security/red-team specialists.
How does your sourcing process work?
1) You send us the role spec (stack, seniority, start date, location). 2) We respond in 48 hours with a vetted shortlist of 3–5 candidates from our network. 3) You interview, we handle contracts/NDA/payroll. 4) Engineer starts within 2–4 weeks. EU-resident option available via our Finnish entity for GDPR-sensitive scope.
What if you can't find the right candidate?
If our existing network doesn't have a match, we run an active search through our recruiter partner network (Finland, Poland, India, EU). Active search adds 2–4 weeks to the timeline. We're transparent about this upfront — no commitments until we confirm we can deliver.
Are placements GDPR-compliant?
Yes. HSG IT Services Oy is a Finnish-registered company. EU-resident engineer option available via our Finnish entity for GDPR-sensitive workloads. All candidate data handling follows EU data protection law.
Need to hire AI engineers?
Tell us the role and the stack. We'll send vetted candidates in 48 hours, or honestly tell you if it's harder to source than usual. No commitments.