Senior GenAI Platform Engineer

DATAECONOMY; Hyderabad; Hybrid; INR 2,800,000 - 4,600,000; Full time

Benefits offered by this job

Medical coverage

Insurance plans

PF and gratuity

Hybrid work

Annual leave 21 days

Break-out area

Job summary

DATAECONOMY in Hyderabad is seeking a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform. This is an individual contributor role focusing on durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS.

You will design backend services in FastAPI, implement Terraform IaC, and collaborate with a small team of engineers, participating in architecture reviews and code quality.

Qualifications

• Experience building REST APIs with FastAPI.
• Hands-on with LLMs, Bedrock, LangChain, LangGraph, RAG, and vector databases.
• Strong AWS experience: Lambda, ECS/EKS, API Gateway, S3, RDS/PostgreSQL.
• Terraform and Docker proficiency; CI/CD pipelines experience.
• Solid understanding of asynchronous event-driven architectures.

Responsibilities

• Build AI agents and multi-agent workflows using Bedrock, LangChain, and related tools.
• Design and implement RAG pipelines, prompt strategies, and AI guardrails.
• Develop backend services in FastAPI for agent submission, lifecycle state machines, and tracking.
• Implement queue-based dispatch, durable state stores, idempotency, retries, and recovery.
• Write Terraform to provision and manage AWS infrastructure for agents.
• Integrate agents with vector databases and internal workflow tools.
• Instrument services for observability with logging, tracing, and metrics.
• Participate in code reviews and architecture discussions as a peer contributor.
• Document designs and runbooks for systems built.

Skills

Python

REST APIs

LLMs

Asynchronous programming

CI/CD

Education

BTech/MTech/MCA

Tools

FastAPI

Amazon Bedrock

LangChain

LangGraph

Terraform

Docker

Kafka

SQS

Job description

Job Description:

Job Title: Senior GenAI Platform Engineer

Experience Level: 5 - 8 years

Location: Hyderabad

Qualification: BTech/MTech/MCA

Mode of Work: Hybrid

Were looking for a Senior GenAI Platform Engineer to buildand operate our enterprise AI agent platform — hands-on, in the code, everyday. This is an individual contributor role with no direct reports. Youlldesign and build durable asynchronous orchestration, RAG pipelines, and securemulti-agent workflows on AWS, working alongside a small team of peer engineers.Youll participate in architecture discussions and code reviews as a strongtechnical contributor, not as a manager.

Key Responsibilities

• BuildAI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents,AgentCore, LangChain, and LangGraph.
• Designand implement RAG pipelines, prompt engineering strategies, and AIguardrails.
• Buildbackend services in FastAPI for agent submission, execution, lifecyclestate machines, and status tracking.
• Implementqueue-based dispatch and durable state stores, ensuring idempotency,retries, and failure recovery.
• WriteInfrastructure as Code (Terraform) to provision and manage agentinfrastructure on AWS.
• Integrateagents with vector databases, enterprise messaging systems, and internalworkflow tools.
• Instrumentservices for observability — structured logging, tracing, metrics.
• Participatein code reviews and architecture discussions as a peer contributor.
• Writeclear technical documentation (design docs, runbooks) for systems youbuild.

Requirements

• Expert-levelPython, with strong experience building REST APIs (FastAPI preferred).
• Hands-onexperience with LLMs, Amazon Bedrock (Agents & AgentCore), LangChain,LangGraph, RAG, and vector databases.
• Strongexperience with core AWS services: Lambda, ECS/EKS, API Gateway, S3,RDS/PostgreSQL.
• Workingproficiency in Terraform and Docker.
• Experiencewith CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
• Solidunderstanding of asynchronous programming and event-driven architectures(Kafka or SQS).
• Experiencewith modern authentication patterns (OAuth2, OIDC, JWT) and AWS IAM.
• Programming: Python , FastAPI
• Generative AI: Amazon Bedrock, BedrockAgents, AgentCore, LangChain, LangGraph, Prompt Engineering,Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems
• Vector Databases: Pinecone, AmazonOpenSearch Vector Engine, FAISS, ChromaDB, pgvector
• Infrastructure as Code: Terraform, AWSCloudFormation (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 (MicrosoftEntra ID)
• CI/CD & DevOps: Git, Automated Deployment Pipelines
• Observability: AWS Observability
• Software Engineering: System Design,Microservices Architecture, Backend Development, API Design, Code Reviews,Technical Documentation, Design Documents, Runbooks
• Development Practices: Unit Testing,Integration Testing, Code Quality, Secure Coding Practices, Agile/Scrum

Benefits

• Comprehensive Medical Coverage: Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
• Robust Protection Plans: Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
• Retirement Benefits: PF and Gratuity provided as per standard government regulations.
• Flexible Work Options: Enjoy hybrid work arrangements & flexible working hours
• Generous Leave Policy: 21 days of annual leave, in addition to 10 company-declared holidays.
• Employee Well-being Spaces: Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.

Requirements: