Experience Required - 5+ Years

Timezone: 6:30 PM to 2:30 AM IST

We are looking for an experienced Data / Generative AI Engineer (5+ years) to join the Professional Services team on a contract basis to deliver production-grade AI solutions for clients.

Work Setup

Location: Remote

Availability: Must work in U.S. hours (EST time zone)

Start: Immediate

Key Responsibilities

Generative AI Development

Design and build production-ready Generative AI applications

Develop RAG (Retrieval Augmented Generation) pipelines

Build AI agents and multi-agent orchestration systems

Implement prompt engineering, fine-tuning, and context management

Create conversational AI assistants and document automation solutions

AWS Cloud & Serverless Development

Develop serverless AI architectures using AWS Lambda

Work with API Gateway, Step Functions, and EventBridge

Build REST APIs and real-time AI systems

Manage AWS services like S3, DynamoDB, RDS, SQS, SNS, CloudWatch

Implement Infrastructure as Code (Terraform / CDK / CloudFormation)

Data Engineering & ML Operations

Build data ingestion pipelines for structured and unstructured data

Implement ETL / ELT workflows

Create vector embeddings and semantic search systems

Ensure data quality, observability, and monitoring

Optimize model performance, latency, and cost

Client Delivery & Collaboration

Work directly with clients and stakeholders

Translate business requirements into technical solutions

Participate in Agile ceremonies

Document architecture, deployments, and best practices

Troubleshoot production AI systems

Critical Technical Skills (Must Have)

Amazon Bedrock & Foundation Models (Claude, Llama, etc.)

RAG Architecture & Vector Databases

LangChain / LlamaIndex / AI Agent Frameworks

Advanced Python (Async, APIs, Testing)

AWS Lambda & Serverless Architectures

LLM API Integrations

REST API Development (FastAPI / Flask)

Highly Valuable Skills

API Gateway, DynamoDB, Step Functions

Docker & Containerized AI Workloads

Data Processing (Pandas, PySpark, AWS Glue)

Production AI Pipeline Development

Strong Differentiators

End-to-end RAG system design

Embedding optimization

AWS Data Lake architectures

Observability with CloudWatch

Security best practices (IAM, Secrets Manager)

CI/CD pipelines

Nice to Have

SageMaker

OpenSearch (vector + hybrid search)

EventBridge

WebSocket streaming AI responses

AWS CDK

Model fine-tuning / PEFT

Experience Required

5+ years software engineering

2+ years AWS production experience

1+ year hands-on Generative AI

Proven experience delivering production AI applications

Strong Agile and client-facing experience

Preferred

AWS Certifications

Experience in regulated industries (Healthcare / Finance)

Open-source contributions

Experience building multi-tenant SaaS AI systems

Knowledge of AI cost optimization