Senior Software Engineer AI Engineering (Python & AWS)

Company: Qvanto AI
Location: Chennai (Hybrid)
Experience: 58 Years

Key Responsibilities

- Design and develop AI-powered features using LLMs, including prompt engineering, RAG pipelines, embeddings, and LLM-based evaluation.
- Build scalable Python backend services and REST APIs using FastAPI.
- Develop and deploy cloud-native applications on AWS (ECS, Lambda, S3, RDS, API Gateway, CloudWatch, Bedrock).
- Implement production-grade AI guardrails such as retries, caching, rate limiting, timeout handling, and cost optimization.
- Work with AI coding assistants (Cursor, Claude Code, Copilot, Kiro, etc.) in a spec-driven development workflow while ensuring thorough testing and validation.
- Write unit, integration, and end-to-end tests using pytest.
- Build and maintain CI/CD pipelines and Infrastructure as Code using AWS CDK or CloudFormation.
- Participate in architecture discussions, code reviews, and mentor junior engineers.

Required Skills

- 5+ years of software development experience.
- 3+ years of hands-on Python development with FastAPI, SQLAlchemy, async programming, and REST APIs.
- 3+ years of AWS experience including ECS, Lambda, S3, RDS, IAM, Cognito, API Gateway, CloudWatch, and CDK/CloudFormation.
- Minimum 1 year of production experience with LLMs using AWS Bedrock,



Anthropic, or OpenAI APIs.
- Robust understanding of prompt engineering, structured outputs, embeddings, RAG, and LLM evaluation.
- Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
- Good understanding of microservices, distributed systems, Docker, Git, and CI/CD.
- Strong problem-solving and communication skills.

Preferred Skills

- Experience with vector databases such as pgvector, Pinecone, Qdrant, or OpenSearch.
- Knowledge of agentic AI systems, tool calling, and orchestration frameworks.
- Experience with SageMaker, MLflow, or MLOps workflows.
- AWS Certification is a plus.
- Prior experience in SaaS or startup environments is preferred.

Technology Stack

- Languages: Python, TypeScript/JavaScript
- Frameworks: FastAPI, SQLAlchemy, Starlette, pytest
- Cloud: AWS (ECS, Lambda, S3, RDS, API Gateway, Cognito, CloudWatch, Bedrock)
- AI: AWS Bedrock, Anthropic, OpenAI, RAG, Embeddings, Vector Databases
- DevOps: Docker, GitHub Actions, AWS CDK, CloudFormation
- Observability: CloudWatch, OpenTelemetry, AWS X-Ray

If you're passionate about building production-ready AI systems and want to work on cutting-edge enterprise AI products, we'd love to hear from you.

📌 Senior Software Engineer - AI Engineering (Chennai)
🏢 Qvanto AI
📍 Chennai