Job Title

Role -Sr Developer- Cloud Gen AIExperience- 4 to 10yearsLocation- PAN IndiaJDKey Roles & Responsibilities Strong experience in developing the complex Business Application and end-to-end implementation experience focusing on large enterprise scale in Public and Private Cloud environments.Should have good experience in Monitoring and Observability solutions leveraging Cloud ServicesShould have good experience in Python / Pyspark, TypeScript and other Programming languages used Gen AI Solution development.Hyperscallers supported Model Life-cycle Management - Fine-tune and prompt-engineer foundation models for customer-specific use cases – Apply RAG techniques with vector DB ( e.g. FAISS, Pinecone, Opensearch)Cloud & MLOps – Deploy and monitor Gen AI models on AWS (SageMaker, Bedrock) , Azure (OpenAI), or GCP (Vertex AI). Create CI/CD pipelines and ML workflows for model versioning, testing and rollback.Leading team of Jr. DevelopersDirectly working and managing customer and key business owners on clearing doubts about the solution provided Good consulting skills including interacting with and presenting to senior and technical stakeholders to gain buy-in. Strong facilitation skills to ensure alignment to architectural vision and operating models Profile Requirement: Minimum 4+ years hands-on experience in Cloud Environments and passion to develop AI Solution leveraging Cloud native AI services.Proficiency with modern foundation models (opensource and proprietary), and hands-on experience deployments of these solutions in production at scale using Cloud-native services.Good understanding on various Cloud AI Services (Azure / AWS/ Google) and Technologies like LangChain, HuggingFace, LangGraph, Groq and CrewAI, MCP Server.Programming skills: Python, PyTorch / TensorFlow, REST APIs.Understanding of Transformer Architectures, tokenization, embeddings and diffusion models.Working experience – Build AI Agents and orchestration flows using tools like LangChain, Haystack, Amazon Bedrock Agents or LlamaIndex.Working knowledge of Cloud services for containerization and orchestration (Docker & Kubernetes)Previous experience of supporting RFPs/RFQs/RFPs is an added advantage.Experience with responsible AI practices, guardrails, and hallucination reduction techniques.Exposure to prompt engineering best practices, chaining methods and grounding with enterprise data.