GenAI Developer

1 day ago

Hyderabad, Telangana, India viraaj hr solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year
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.

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