Job Description:
- We are seeking a highly skilled Generative AI Engineer with 5 years of software engineering experience and strong expertise in AWS and Azure cloud platforms
- The ideal candidate should have hands on experience designing developing deploying and optimizing LLM based applications RAG pipelines AI agents and enterprise grade GenAI solutions
- The role requires strong proficiency in Python cloud native development MLOps practices and modern AI frameworks
Key Responsibilities:
- Design develop and deploy enterprise scale Generative AI solutions using LLMs and foundation models
- Build and optimize Retrieval Augmented Generation RAG pipelines for knowledge based applications
- Develop intelligent AI agents and workflows using LangChain LangGraph Semantic Kernel CrewAI or similar frameworks
- Integrate GenAI solutions with enterprise systems APIs databases and third party services
- Implement prompt engineering prompt tuning and LLM evaluation frameworks
- Deploy monitor and scale AI applications on AWS and Azure cloud environments
- Design secure and scalable cloud architectures leveraging serverless and containerized services
- Implement CI CD pipelines and MLOps best practices for model deployment and lifecycle management
- Collaborate with Data Scientists ML Engineers Product Owners and Architects to deliver business focused AI solutions
- Monitor model performance latency cost optimization hallucination control and overall system reliability
- Stay updated on advancements in LLMs Agentic AI Multi Agent Systems Vector Databases and Cloud AI services
Technical Requirements:
- GenAI Generative AI LLM RAG LangChain LangGraph Semantic Kernel Agentic AI AI Agents AWS Bedrock Azure OpenAI Azure AI Studio Prompt Engineering Vector Database Pinecone FAISS ChromaDB FastAPI Python AKS EKS Docker Kubernetes MLOps Azure ML OpenSearch Hugging Face
Additional Responsibilities:
- Experience with multi agent frameworks and autonomous AI workflows
- Knowledge of Responsible AI AI Safety and Governance
- Familiarity with model monitoring evaluation and feedback loops
- Hands on experience in productionizing GenAI applications
- Exposure to distributed systems and microservices architecture
Preferred Skills:
Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->AI-Generative AI->Artificial Intelligence - BASIC
