Agentic AI Engineers

Job Title: Agentic AI EngineersExperience : 8-15 years Location : Bangalore / Hyderabad / PuneWork mode : Requires 3 days of office.Key skills : Gen AI (RAG, LLM, Langchain, Agentic AI), Python, Aws Bedrock, Docker. Strong communication skills are a must.Interview rounds: 3Budget: 45 LPANotice period: Immediate onlyJob Description

• Design, build, and optimize AI-powered workflows using agent orchestration frameworks as per approved architecture
• Develop and maintain API endpoints to automate deterministic features and processes
• Create and deploy MCP (Model Context Protocol) servers and artifacts to support AI workflows and enable seamless integration
• Integrate AI capabilities into automation solutions, ensuring high performance, scalability, low latency, and robustness
• Build and deploy containerized microservices in AWS cloud infrastructure, leveraging AWS Bedrock for AI model deployment
• Implement SSO (Single Sign-On) frameworks and other security considerations in compliance with enterprise security standards
• Develop high-quality, production-ready services with comprehensive unit tests, integration tests, and QA artifacts
• Collaborate with cross-functional teams including product, engineering, and operations to deliver end-to-end AI solutions
• Monitor, troubleshoot, and optimize deployed services for performance, reliability, and cost-effectiveness
• Document technical architectures, APIs, and implementation details for knowledge sharing and maintenance
• Participate in code reviews and contribute to engineering best practices and standards

Roles & Responsibilities

• Overall 8+ years of experience building advanced analytics products with 1+ year of hands-on experience in GenAI and LLM
• Experience working with AWS cloud platform and services, particularly AWS Bedrock
• Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, LangChain, etc.)
• Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps
• Solid understanding of machine learning algorithms and data pre-processing techniques
• Knowledge of cloud computing and AI deployment on AWS
• Experience with containerization technologies (Docker, Kubernetes)
• Excellent problem-solving, analytical, and creative thinking skills
• Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills
• Demonstrable ownership, commitment and willingness to learn new technologies and frameworks

Job Type: Full-time

Pay: Up to ₹4,500,000.00 per year

Work Location: In person