Senior GenAI Platform Engineer
Data Economy · Hyderabad · onsite · Posted 65d ago
Undisclosed5–8 yrsfulltimeSourced from
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About this role
Job_Description
Job Title: Senior GenAI Platform Engineer
Experience Level: 5 - 8 years
Location: Hyderabad
Experience Level: 5 - 8 years
Location: Hyderabad
Qualification: BTech/MTech/MCA
Mode of Work: Hybrid
Mode of Work: Hybrid
Were looking for a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform hands-on, in the code, every day. This is an individual contributor role with no direct reports. Youll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. Youll participate in architecture discussions and code reviews as a strong technical contributor, not as a manager.
Key Responsibilities:
Key Responsibilities:
- Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, and LangGraph.
- Design and implement RAG pipelines, prompt engineering strategies, and AI guardrails.
- Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and status tracking.
- Implement queue-based dispatch and durable state stores, ensuring idempotency, retries, and failure recovery.
- Write Infrastructure as Code (Terraform) to provision and manage agent infrastructure on AWS.
- Integrate agents with vector databases, enterprise messaging systems, and internal workflow tools.
- Instrument services for observability structured logging, tracing, metrics.
- Participate in code reviews and architecture discussions as a peer contributor.
- Write clear technical documentation (design docs, runbooks) for systems you build.
Requirements
- Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
- Hands-on experience with LLMs, Amazon Bedrock (Agents AgentCore), LangChain, LangGraph, RAG, and vector databases.
- Strong experience with core AWS services: Lambda, ECS/EKS, API Gateway, S3, RDS/PostgreSQL.
- Working proficiency in Terraform and Docker.
- Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
- Solid understanding of asynchronous programming and event-driven architectures (Kafka or SQS).
- Experience with modern authentication patterns (OAuth2, OIDC, JWT) and AWS IAM.
- Programming: Python , FastAPI
- Generative AI: Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems
- Vector Databases: Pinecone, Amazon OpenSearch Vector Engine, FAISS, ChromaDB, pgvector
- Infrastructure as Code: Terraform, AWS CloudFormation (preferred exposure)
- Containers Orchestration: Docker
- Databases: PostgreSQL, DynamoDB
- Event-Driven Architecture: Amazon SQS, Apache Kafka
- Authentication Security: OAuth 2.0, OpenID Connect (OIDC), JWT, AWS IAM, Enterprise Identity Integration (Microsoft Entra ID)
- Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
orchestrationIndividual ContributorApacheamazon web servicesTechnical DocumentationcodingPythonArchitectureMicrosoftGIT
About Data Economy
Data Economy
IT Services & Consulting
93
employees
2018
8 years old
Dublin, Ohio
United States of America
About
Data Economy is a data and analytics firm, known for its innovative solutions and cost-effective services, delivering value in the global analytical landscape.
Industries
IT Services & Consulting
Employee ratings
79 reviews
3.9/ 5
Culture
3.8
Career growth
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