Gen AI Engineer
$130k - $150kTata Consultancy Services
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.
- 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.•
Vacancy posted 4 days ago
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