Talent

Hire AI & ML Engineers

Senior AI talent, fully managed, delivered within days and not months. It is a part of the same team that shipped Fintly, ProcXO & ExpertsHub for clients.

Finding AI/ML engineers who combine model training expertise with production engineering skills is genuinely hard. At Katalyst AI Lab, we have spent years building that bench. 20+ engineers across LLM fine-tuning, RAG systems, computer vision, NLP & MLOps. You can engage our full project team or hire dedicated engineers who work exclusively on your product, under your technical direction.

48h
CV Delivery from Brief
2–5
Days to Mobilise
20+
AI/ML Engineers on Bench
Profiles Available

Engineer Roles

Select a role to explore skills and experience requirements.

LLM Engineer (Fine-Tuning)

3–7 years experience

Core Skills

LoRAQLoRAPEFTHugging FaceAxolotlRLHFDPOAlignment techniques

LLaMA, Mistral, Phi, Gemma families in production

RAG / Agentic AI Developer

2–6 years experience

Core Skills

LangChainLangGraphLlamaIndexCrewAIPineconeWeaviatepgvectormulti-agent orchestration

At least one production RAG or agent system shipped

MLOps Engineer

3–8 years experience

Core Skills

KubeflowMLflowW&BDockerKubernetesSageMaker PipelinesVertex AIEvidently

CI/CD for models, drift monitoring, production serving

Computer Vision Engineer

3–7 years experience

Core Skills

YOLO v8/v9Detectron2SAMOpenCVEdge deploymentcustom architecture training

Manufacturing, medical imaging, or document understanding preferred

NLP / NLU Engineer

3–6 years experience

Core Skills

spaCyTransformersBERT variantsT5WhisperMultilingual NLPclinical NLP

Information extraction, document classification, entity recognition

ML Data Engineer

2–5 years experience

Core Skills

Annotation pipelinesLabel StudioFeature storesVector embedding pipelineslarge-scale data processing

Building ML training datasets, not just data engineering

Engagement Options

How One Can Work with Us

Why Us

Why Hire from Katalyst

01
Pre-vetted, production-experienced

Every engineer has worked on at least one production AI system. Not just Kaggle competitions or research papers. You see evidence before you hire.

02
Transparent matching

We share CVs, facilitate technical interviews & let you choose. No opaque supplier model.

03
Fast mobilisation

CVs within 48 hours of your brief. Engineers available within 2–5 business days of agreement.

04
IP protection from day one

All engineers sign client-specific NDAs. IP assignment is contractually clear. What your team builds is yours.

05
Managed HR and payroll

We handle contracts, payroll, benefits, equipment & statutory compliance. You manage work direction.

06
Overlap hours available

Pune-based (IST UTC+5:30). US Eastern overlap available from evening IST; UK overlap from afternoon IST.

FAQ

Questions

Can we interview engineers before committing?

Yes. We provide CVs within 48 hours of your role brief and facilitate technical interviews with shortlisted candidates. You choose who you want, we do not auto-assign.

Are engineers full-time on our project?

Dedicated hire and team augmentation engineers are 100% committed to your project for the duration of the engagement.

What time zones do engineers work in?

Our team is based in Pune, India (IST, UTC+5:30). Most engineers maintain overlap hours with US Eastern (evening IST) or UK business hours (afternoon IST).

What is the minimum engagement?

3 months for dedicated hires and team augmentation. Fixed-scope deliverable for managed projects. There is no minimum for an exploratory conversation.

Send Us Your Brief. Receive CVs in 48 Hours.

Share the role, the tech stack, and the timeline. No recruitment fees, no lengthy process.

Submit a Hiring Brief
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