About the Role We are seeking a highly motivated AI Engineer with 1-3 years of hands-on experience building and deploying AI Agents using Google AI Agent Platform Vertex AI or AWS Bedrock This role is ideal for an engineer passionate about building applied AI solutions including intelligent agents automation flows RAG pipelines and enterprise-grade AI micro-services You will be part of a fast-paced product and innovation team responsible for designing developing and scaling AI Agents that automate real business workflows across life sciences healthcare consumer products and enterprise systems Key Responsibilities AI Agent Development Design develop and deploy production-grade AI Agents using Google Vertex AI Agents or AWS Bedrock Agents Build end-to-end AI agent workflows including LLM orchestration tool invocation guardrails and monitoring Implement RAG Retrieval-Augmented Generation pipelines for dynamic and context-aware agent responses Integrate AI Agents with enterprise applications APIs data sources and external tools AI Engineering Architecture Build scalable backend components using Python FastAPI Flask and microservice patterns Develop and integrate RESTful APIs and secure agent-system interactions Implement model evaluation prompt engineering embeddings hallucination controls and response validation Work across Vector Databases Pinecone ChromaDB Milvus Weaviate and RDBMS PostgreSQL MySQL LLM Platform Engineering Fine-tune optimize and evaluate LLMs for accuracy safety and performance Leverage Google Vertex AI Model Garden Vector Search Agents Workbench or AWS Bedrock Agents Guardrails Knowledge Bases Collaborate with product teams to understand use cases and convert them into AI agent workflows Quality Monitoring MLOps Deploy AI agents to production using CI CD containerization Docker and cloud deployment best practices Implement logging monitoring evaluation pipelines and feedback loops to ensure reliability Apply security privacy and responsible AI principles PII handling content filters guardrails Required Skills Experience 1 to 3 years of hands-on AI Agent development experience Successfully developed and deployed at least one AI Agent into production Hands-on experience with Google Vertex AI AWS Bedrock LLMs and RAG pipelines Strong experience with Vector Databases Pinecone Weaviate Chroma Milvus and RDBMS Proficiency in Python for backend and AI development Experience with API development FastAPI Flask API Gateway Cloud Functions Lambda Familiarity with prompt engineering embeddings and LLM evaluation Strong understanding of cloud platforms Google Cloud or AWS Experience handling unstructured data documents PDFs images JSON logs Nice-to-Have Skills Experience with Google AI Studio Vertex AI Search Conversation or Vertex AI Extensions Experience with LangChain LlamaIndex CrewAI AutoGen or similar AI orchestration frameworks Exposure to MLOps tools Vertex Pipelines AWS SageMaker MLflow Knowledge of GenAI safety guardrails PII redaction and content filters Experience building multi-agent systems Understanding of event-driven architectures Pub Sub SQS EventBridge Familiarity with frontend frameworks React to support simple agent UI prototypes Soft Skills Work Style Ability to work in a fast-paced startup-like workplace Strong problem-solving mindset with ownership of end-to-end delivery Excellent communication and documentation skills Ability to collaborate cross-functionally with product managers designers and engineering leaders Passion for innovation experimentation and pushing the boundaries of applied AI Why Join Us Work on cutting-edge applied AI technologies Opportunity to build real-world AI agents used by global enterprises Fast-paced environment with room for rapid growth Be part of an AI Innovation Lab shaping the future of life sciences and enterprise AI

📌 Ai Engineer – Ai Agent Development (Karnataka)
🏢 Important Business
📍 Karnataka