GenAI Developer
1 week ago
About The Opportunity
A fast-scaling team in the Generative AI and Enterprise AI sector, building production-grade LLM-powered features for search, assistants, and knowledge automation across business applications. We ship end-to-end GenAI capabilities—from prompt design and fine-tuning to scalable inference and observability—deployed into cloud-native environments for enterprise customers.
Primary title:
Generative AI Engineer |
Location:
India (On-site)
Role & Responsibilities
- Design, implement, and productionize generative AI components (prompting, fine-tuning, RAG pipelines, embeddings) for customer-facing applications.
- Build robust ML pipelines for data ingestion, embedding generation, model training/finetuning, and automated deployment using containerized workflows.
- Integrate vector search and retrieval systems (FAISS/Milvus/Pinecone) with LLM stacks to enable low-latency, relevance-optimized inference.
- Develop REST/gRPC APIs and microservices for inference at scale, ensuring reliability, monitoring, and cost-efficient autoscaling.
- Collaborate with data scientists to iterate on instruction tuning, evaluation metrics, and model selection for production scenarios.
- Establish engineering best practices: CI/CD for models, observability for ML services, model versioning, and reproducible experiments.
Skills & Qualifications
Must-Have
- Strong production experience with Python and deep learning frameworks (PyTorch or TensorFlow).
- Hands-on with Hugging Face Transformers and model fine-tuning workflows (LoRA/PEFT or equivalent).
- Practical experience building RAG pipelines, embedding generation, and vector search integration (FAISS, Milvus, or Pinecone).
- Experience deploying containerized ML services (Docker, Kubernetes) on public cloud (AWS/Azure/GCP).
Preferred
- Familiarity with LangChain or similar orchestration frameworks and prompt engineering at scale.
- Experience with MLOps tooling: CI/CD for models, model registry, monitoring, and cost optimization.
Benefits & Culture Highlights
- Opportunity to work on cutting-edge GenAI products and influence model & architecture choices end-to-end.
- Collaborative engineering culture with strong emphasis on quality, observability, and customer impact.
- On-site collaboration with cross-functional product and data science teams in India.
We seek a hands-on engineer who thrives in a fast-paced environment, cares about robust production delivery, and is passionate about shipping impactful GenAI features. Apply if you want to build scalable LLM systems that power real business outcomes.
Skills: tensorflow,llm,sql,azure,ml,python,etl,genai developer,pytorch,docker,gcp,aws,kubernetes
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