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Gen Ai Engineer 5 Years Gurugram

Zorba Consulting India · Gurugram

📅 11/08/2026
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Design and deploy end-to-end generative AI solutions from data ingestion and RAG pipelines to model serving, agent orchestration, and prompt engineering in production environments. Build and optimize Python-based backend services using LangChain, LlamaIndex, and agent frameworks (e.g., AutoGen, CrewAI) for enterprise use cases. Integrate LLMs (OpenAI, Anthropic, Mistral, Llama 3, etc.) with enterprise systems (CRM, ERP, Knowledge Bases) via API gateways and vector DBs (Pinecone, Weaviate, FAISS). Collaborate with data scientists to fine-tune, evaluate, and deploy open-source LLMs on cloud platforms (AWS, Azure, GCP) using SageMaker, Vertex AI, or Azure ML. Implement observability, cost monitoring, and guardrails (safety, hallucination detection, rate limiting) for GenAI deployments. Mentor junior engineers, document architecture decisions, and enforce MLOps best practices (CI/CD, model versioning, drift detection). Skills & Qualifications Must-Have Python LangChain LlamaIndex OpenAI API FAISS Pinecone Vector Databases LLM Fine-tuning RAG Architectures Agent Frameworks API Gateway Integration Cloud Platforms (AWS/Azure/GCP) Model Monitoring Tools CI/CD for ML Preferred AutoGen CrewAI MLflow Advantages & Culture Highlights Work on bleeding-edge GenAI projects for global clients across healthcare, finance, and logistics. Adaptable PTO, quarterly hackathons, and dedicated AI research time. Chance to publish whitepapers, speak at AI conferences, and influence enterprise AI roadmaps. .
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