Hire AI engineers in India — LLM, RAG, and production AI specialists
IIT/IISc alumni with production AI experience. Not notebook scientists — engineers who ship AI systems.
Artificial intelligence engineering talent is the scarcest and most expensive profile in Western technology markets. India's AI engineering talent pool — IIT, IISc, and BITS alumni who have shipped production ML systems at Google DeepMind, Microsoft Research, and India's AI unicorns — provides world-class AI engineering depth at 65–70% lower cost than US equivalents.
Why companies hire dedicated AI Engineers.
AI features are becoming table stakes
Companies across every sector are integrating AI features — recommendations, search, content generation, fraud detection — into their products. Dedicated AI engineers are necessary to build these features reliably.
LLM integration requires specialist skills
RAG pipeline design, prompt engineering, fine-tuning, and LLM evaluation are not standard software engineering skills. AI engineers with genuine LLM production experience are a distinct and scarce hiring profile.
AI engineering is a force multiplier for data teams
AI engineers who can productionise data science research outputs — taking a notebook model to a reliable, monitored, serving system — dramatically increase the value data science investments generate.
Why hire AI Engineers from India.
World-class AI research institutes
IIT Bombay, IISc Bengaluru, IIT Delhi, IIT Madras produce AI researchers cited at NeurIPS, ICML, and ICLR. Research depth translates into engineers with genuine theoretical grounding.
Production ML at unicorn scale
India's tech unicorns — Swiggy, Zepto, Razorpay, CRED — have trained ML engineers in production AI systems serving hundreds of millions of users.
LLM-era engineering community
India's AI engineering community has been among the fastest to adapt to the LLM era — RAG engineers, fine-tuning specialists, agent framework developers with genuine production experience.
65–70% cost savings vs US market
A senior ML engineer costs $280–350K in total US compensation. The same calibre from India through Remvix is $80–95K all-in — a 68–72% reduction.
Active AI research and community
India's AI community is active globally — Papers With Code contributors, Hugging Face model authors, and open-source ML library maintainers are all in India's talent pool.
What to look for.
- PyTorch, TensorFlow, JAX — deep learning frameworks
- LLM fine-tuning: LoRA, QLoRA, RLHF, DPO
- RAG: chunking, embedding models, vector DBs (Pinecone, Weaviate, Chroma)
- LangChain, LlamaIndex, CrewAI, AutoGen — agent frameworks
- Hugging Face Transformers, OpenAI, Anthropic, Cohere — LLM APIs
- MLflow, Weights & Biases — experiment tracking
- vLLM, TGI, BentoML, Triton — model serving
- Computer vision: YOLO, SAM, Stable Diffusion, OpenCV
What they own.
- 01Design and implement LLM-powered features (RAG, agents, summarisation)
- 02Fine-tune foundation models for domain-specific tasks
- 03Build and maintain ML model serving infrastructure
- 04Design evaluation frameworks for LLM quality and safety
- 05Implement model monitoring and drift detection in production
- 06Collaborate with data scientists to productionise research outputs
- 07Optimise model inference latency, cost, and reliability
- 08Research and evaluate new AI techniques for product application
What to know before you start.
Separating production AI from ChatGPT prototyping
Many engineers have built LLM demos but have no production deployment experience. Remvix screens for real production systems — RAG pipelines with real users, fine-tuned models in serving infrastructure.
LLM evaluation rigour
Production LLM systems require systematic evaluation — not just 'it looks good'. Remvix screens for evaluation framework design, benchmark construction, and safety testing.
ML systems engineering vs ML research
AI engineers who can serve, monitor, and improve models in production are different from research scientists who publish papers. Remvix screens for the profile your product stage requires.
Work with us the way that fits.
Dedicated Team
A full-time developer or team working exclusively for your company — embedded in your sprints, tools, and culture.
Offshore Staffing
Individual dedicated hires at 65–72% lower cost than US equivalents. No minimum headcount.
Permanent Hiring
Full-time permanent hires with Indian-market competitive compensation and multi-year retention infrastructure.
Contract Staffing
Short-term or project-based engagements — surge capacity, pilots, or trial-before-permanent.
Employer of Record (EOR)
No Indian entity required. Remvix employs the team; you direct the work and pay one monthly invoice.
Which industries hire AI Engineers from India.
How we hire and operate your team.
Pre-screened network, not cold sourcing
Remvix maintains a continuously updated pre-screened network of candidates per role category. Shortlists are delivered within 7 days because sourcing starts before you ask.
Technical screening calibrated to your bar
We don't use generic assessments. Live coding, system design walkthroughs, and written communication reviews are all calibrated to your specific stack, seniority, and team norms.
You make every hire decision
Remvix provides pre-qualified shortlists. Your team runs the technical interviews and makes every final hire decision. We remove noise; you set the bar.
Enterprise operating infrastructure from day one
Payroll, statutory compliance, health benefits, equipment, IP assignment, and HR business partner support are all included. Your hire is fully operational within 3 weeks of kickoff.
Retention as an operating commitment
Competitive Indian-market compensation, L&D access, career pathing, and HR support drive 18–36 month average tenures — not hiring-agency churn.
- Payroll & tax filing
- Statutory compliance
- Health benefits
- Laptop & secure device
- IP assignment & NDA
- HR business partner
- 7-day shortlists
- Replacement aligned to your needs
- Month-to-month — no lock-in
Common questions.
Does India have genuine production AI engineering talent?+
Yes. India's AI talent pool includes engineers who have shipped production LLM systems, recommendation engines, and computer vision pipelines at scale — not just research prototypes.
Can they build RAG pipelines?+
Yes — chunking strategy, embedding model selection, vector database management, retrieval evaluation, and context window optimisation are all screened for RAG roles.
Can they fine-tune LLMs?+
Yes — LoRA, QLoRA, RLHF, and DPO fine-tuning on domain-specific datasets is available from engineers with production fine-tuning experience.
How do you distinguish genuine LLM engineering from API wrapper experience?+
Screening covers evaluation design, latency optimisation, hallucination mitigation, RAG pipeline architecture, and production monitoring. Engineers who cannot speak to these are filtered before shortlisting.
Who owns the model weights and IP?+
Your company owns all model weights, training code, evaluation frameworks, and AI system outputs. IP assignment is signed before any engineer begins work.
How much does a senior AI engineer cost through Remvix?+
Approximately $80–95K all-in annually. US equivalent is $280–350K total compensation.
Can AI engineers work on computer vision systems?+
Yes — object detection, image segmentation, OCR, and multimodal systems (vision + language) are available from engineers with computer vision backgrounds.
Can they build LLM agent systems?+
Yes — LangChain, LlamaIndex, CrewAI, and AutoGen agent framework development with production deployment experience is available.
How long does hiring a senior AI engineer take?+
7–10 days for a shortlist for most AI/ML roles; 14–21 days for highly specialised research-track positions. Onboarding within 3 weeks of hire decision.
Can you build a full AI team — not just one engineer?+
Yes — AI pods (AI engineers + data engineers + MLOps) are among our most common team configurations. Teams range from 3 to 15 members.
Also hiring for:
Build your team.
Why India is the world's primary offshore talent destination.
Your next great hire is in India.
We'll build the team around them.
Talk to a Remvix specialist about your roles, timeline, and budget. Get a tailored shortlist in 7 days — no commitment, no agency lock-in.