Gen AI Engineer

Job Description Must Have Technical/Functional Skills Roles & Responsibilities • Design and implement Gen AI applications using AWS Bedrock and related AWS services. • Build secure, scalable, and maintainable AI workflows for enterprise use cases. • Develop retrieval-augmented generation solutions that use enterprise knowledge sources effectively. • Manage context windows, memory strategies, prompt composition, and grounding techniques. • Integrate MCP-based tools and services to extend model capabilities and connect to enterprise systems. • Collaborate with product owners, architects, data engineers, and security teams. • Evaluate model outputs for quality, safety, relevance, and factual accuracy. • Optimize latency, cost, and token usage across AI workloads. • Create reusable prompts, agent patterns, and orchestration components. • Support deployment, monitoring, logging, and continuous improvement of Gen AI systems. • Strong experience with Python or Java. • Hands-on experience with AWS Bedrock. • Understanding of foundation models, embeddings, RAG, and vector search. • Experience with prompt engineering and context management. • Familiarity with MCP concepts and tool integration patterns. • Experience with APIs, microservices, and cloud-native architecture. • Knowledge of enterprise security, privacy, and governance requirements. • Ability to evaluate model performance and improve response quality. • Good communication and stakeholder collaboration skills. Generic Managerial Skills, If any • Experience with LangChain, LangGraph, or similar orchestration frameworks. • Experience with OpenSearch, Aurora PostgreSQL, DynamoDB, or vector databases. • Knowledge of IAM, KMS, CloudWatch, Lambda, Step Functions, and API Gateway. • Experience with agentic workflows and tool-calling architectures. • Familiarity with software engineering best practices, testing, and CI/CD. • Automotive or manufacturing domain experience is a plus.• Show more Show less