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# Gen Ai Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Plano, TX, United States
- **Salary:** $130,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Continuous Integration, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), PostgreSQL, Search Technologies, Software Construction, Data Logging, Enterprise Software Applications, Retrieval-Augmented Generation, Prompt Engineering, Generative AI, Agentic-AI, Kubernetes, Information Technology, Cloudwatch, Api Gateway, Automation Anywhere, OpenSearch, Microservices
- **Published:** October 28, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88724807/1

## About the Role

* 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, BACHELOR OF COMPUTER SCIENCE

## Description

* 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.