Senior Software Engineer - Python

Role Overview

Responsibilities

• Design, architect, and develop scalable Generative AI applications and agentic solutions for real-world business use cases.
• Build and orchestrate AI agents using LangChain, LangGraph, Google ADK, CrewAI, AutoGen, Microsoft Copilot Studio, or similar technologies.
• Develop and maintain backend services, APIs, microservices, and data pipelines that power AI-driven products.
• Implement RAG, Agentic RAG, tool and function calling, planning and reflection loops, and human-in-the-loop workflows.
• Engineer and optimize prompts, system instructions, and agent workflows.
• Integrate LLMs with enterprise systems, third-party APIs, vector databases, and knowledge repositories.
• Monitor and improve model and agent performance using observability tools, metrics, and user feedback.
• Collaborate with Product, Engineering, Data, and Design teams.
• Stay current with emerging AI technologies and contribute innovative ideas.
• Document architectures, design decisions, and reusable solution patterns.

Requirements

• Five to seven years of software engineering experience.
• Hands-on experience building applications with Generative AI and LLM technologies.
• Strong Python proficiency and experience developing production-ready applications.
• Hands-on experience with at least two agentic AI frameworks from the listed alternatives.
• Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI/ADK.
• Backend development skills with REST or gRPC APIs, asynchronous programming, Docker, and FastAPI or Flask.
• Understanding of OpenAI GPT, Anthropic Claude, Google Gemini, and open-source LLM alternatives.
• Experience building RAG solutions with vector databases such as Pinecone, Weaviate, ChromaDB, or Qdrant.
• Expertise in prompt engineering, LLM orchestration, structured outputs, guardrails, ReAct patterns, and evaluation techniques.
• Strong problem-solving, system design, and architectural decision-making skills.
• Excellent communication and collaboration skills across global teams.