Gen AI Engineer
$130k - $150kTata Consultancy Services
Gen AI Engineer
Roles and 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.
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
Location: Plano, TX
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