Software Developer

- Architect and deliver scalable backend solutions using modern Python frameworks
- Design, build, and integrate LLM-powered features (RAG pipelines, AI agents, tool/function calling) into production applications
- Design and maintain robust RESTful (and optionally GraphQL) APIs
- Build event-driven systems and manage distributed/background job processing
- Oversee cloud deployments and infrastructure on Azure and GCP
- Implement CI/CD, observability, and cost/performance optimization for AI workloads
- Lead cross-functional teams, mentor engineers, and uphold high engineering standard

Core Skills:-

1. Primary: Python (FastAPI, Flask), API Design, Cloud-Native Architecture, Async programming (asyncio) for building event-driven systems and handling distributed/background jobs
2. Database: SQL (PostgreSQL, MySQL), ORM (SQLAlchemy)
3. Secondary: React, JavaScript (ES6+), HTML5, CSS3
4. Cloud & DevOps: Azure, GCP, Docker, Kubernetes, CI/CD
5. Tools & Practices: SQLAlchemy, Agile, Git, Terraform, Pytest.

AI / LLM Engineering Skills:-

LLM APIs: OpenAI, Google Gemini, Anthropic Claude (incl. Azure OpenAI / Vertex AI)
- Prompt Engineering and AI Agents (tool use, function calling, multi-agent
orchestration)
- RAG (Retrieval-Augmented Generation) chunking, embeddings, retrieval strategies
- Vector Databases: e.g. Pinecone, Weaviate, Chroma, pgvector, FAISS, Milvus
- AI Frameworks: LangChain / LangGraph, Google ADK, LlamaIndex
- MCP (Model Context Protocol)

Good to Have:-
LLM Ops & evaluation: LangSmith / LangFuse, prompt versioning, eval frameworks
(RAGAS, DeepEval), guardrails/hallucination mitigation
- Embeddings & model tuning: text embedding models, fine-tuning / LoRA, structured
output (JSON mode, Pydantic-based parsing)
- Data & pipelines: Pandas, background jobs/queues (Celery, Redis), streaming
responses (SSE/WebSockets)
- API hardening: authentication/authorization (OAuth2, JWT), rate limiting, caching
- Message brokers / event-driven: Kafka, RabbitMQ, or Pub/Sub
- Security & governance: Data Privacy, Responsible-AI / Content Moderation
- Testing & quality: unit/integration testing, type checking (mypy), linting (ruff)