Design and build scalable backend systems and microservices using clean architecture. Develop and deploy RAG-based GenAI systems and agentic AI workflows. Work directly with enterprise clients to gather requirements and explain trade-offs.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior Forward Deployed Engineer – Generative AI
Location: Chennai (India)
Global Opportunity: Relocation to Japan after 1–3 months in Chennai
Experience Required: 8–15 Years
Role Overview
We are hiring a Senior Forward Deployed Engineer to design, build, and deploy production-grade Generative AI systems for enterprise customers.This is a high-impact, hands-on engineering role where you will initially work from Chennai for 1–3 months, followed by relocation to Japan, working closely with global customers and teams.
Key Responsibilities
- Design and build scalable backend systems and microservices using clean architecture
- Model Optimization, Fine-Tuning & Strategic AI
- Develop and deploy RAG-based GenAI systems and agentic AI workflows
- Integrate LLM APIs (OpenAI, Claude, Gemini, Bedrock, etc.)
- Build evaluation pipelines to improve accuracy and reduce hallucinations
- Deploy and manage systems on AWS / Azure / GCP using Docker, Kubernetes, CI/CD
- Implement observability (logs, metrics, tracing, SLOs)
- Optimize models for latency, cost, performance, and scalability
- Work directly with enterprise clients to gather requirements and explain trade-offs
- Transition into a Japan-facing engineering role after onboarding period
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Required Skills
Core Technical Skills (Must Have)
- 8–15 years of strong software engineering experience
- Strong Python backend development
- Experience in microservices & REST API design
- Hands-on experience with:
- Generative AI / LLM systems
- RAG pipelines and vector databases
- Cloud platforms: AWS / Azure / GCP
- DevOps: Docker, Kubernetes, CI/CD
Strong Plus (Highly Preferred)
- Strategic AI thinking (ability to align AI solutions with business goals)
- Model fine-tuning (LoRA, QLoRA, PEFT, RLHF)
- Model optimization (latency, cost, quantization, GPU efficiency)
- Model serving: vLLM, TGI
- Evaluation frameworks: RAGAS, LangSmith, DeepEval
- Vector DBs: Pinecone, Milvus, FAISS, Weaviate
- Agentic AI frameworks: LangChain, LangGraph, CrewAI
- Strong understanding of Transformers & Attention mechanisms
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Education & Background (Preferred)
- Tier-1 Engineering Institute preferred (IIT / NIT / IIIT / BITS)
- Experience in Tier-1 product company preferred
Global Mobility
- Initial onboarding in Chennai (1–3 months)
- Relocation to Japan for long-term role
- Opportunity to work with global enterprise clients
Interested in relocating to India? Check out our comprehensive Relocation Jobs in India page with detailed relocation packages and benefits.
Why This Role?
- Build real production GenAI systems (not PoCs)
- High ownership and architectural impact
- Fast-track international career (Japan)
- Work at the intersection of AI + backend + cloud engineering
- Exposure to global enterprise customers
Ideal Candidate Profile
- Backend engineer with strong GenAI system experience
- Built RAG pipelines / AI agents in production
- Strong in Python + APIs + cloud + LLM integration
- Exposure to model optimization & fine-tuning
- Open to Japan relocation and global career growth
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