Gen AI Engineer

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.•

Salary Range: $130,000 to $150,000 per year