- *Data / Gen AI Engineer**
- *Work Mode**: Remote (Must be available during U.S. EST business hours)
- *Experience:** 5\+ Years Software Engineering \| 2\+ Years AWS \| 1\+ Year Generative AI
- *Employment Type**: Contractual
We are seeking a highly skilled Data / Generative AI Engineer to design, develop, and deploy enterprise\-grade AI solutions. The ideal candidate will have strong expertise in AWS cloud services, Generative AI, RAG architectures, AI agents, Python development, and cloud\-native application engineering.
This role involves building production\-ready AI applications, conversational assistants, intelligent document processing solutions, multi\-agent systems, and enterprise knowledge platforms.
- Design and deploy Generative AI applications using Amazon Bedrock and Foundation Models
- Build and optimize Retrieval\-Augmented Generation (RAG) pipelines
- Develop AI agents and multi\-agent orchestration systems
- Create conversational AI and intelligent automation solutions
- Implement prompt engineering, model evaluation, and AI guardrails
- Build serverless solutions using AWS Lambda and cloud\-native architectures
- Develop scalable APIs using FastAPI and Flask
- Design data ingestion, ETL/ELT, and semantic search pipelines
- Implement monitoring, observability, and MLOps practices
- Collaborate directly with clients on solution design and delivery
- Create technical documentation, deployment guides, and operational runbooks
Generative AI \& LLMs
- Amazon Bedrock
- Anthropic Claude
- RAG Architecture
- Prompt Engineering
- Embeddings \& Semantic Search
- AI Safety \& Guardrails
- LangChain
- LlamaIndex
- Bedrock Agents
- Multi\-Agent Systems
- Agent Orchestration Frameworks
- Python 3\.x
- FastAPI
- Flask
- Async Programming
- API Development
- Unit Testing
AWS \& Cloud
- AWS Lambda
- API Gateway
- Step Functions
- EventBridge
- DynamoDB
- S3
- IAM
- CloudWatch
- Serverless Architecture
Vector Databases
- Pinecone
- Weaviate
- OpenSearch
- Chroma
- FAISS
- AWS Glue
- Athena
- PySpark
- Docker
- ECS/Fargate
- GitHub Actions
- CI/CD Pipelines
- SageMaker
- OpenSearch Hybrid Search
- Voice AI Solutions
- React or Angular exposure
- 5\+ years in Software Engineering / Backend Development
- 2\+ years building production workloads on AWS
- 1\+ year of hands\-on Generative AI experience
- Experience delivering enterprise\-grade applications end\-to\-end
- Strong understanding of Agile, testing, CI/CD, and DevOps practices
- *Preferred Certifications:**
- AWS Certified Solutions Architect
- AWS Machine Learning Specialty
- AWS Developer Associate
- *Domain Experience (Preferred):**
- Healthcare
- Financial Services
- Insurance
- Other regulated industries
Pay: ₹80,000\.00 \- ₹100,000\.00 per month
Work Location: Remote