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AI Software Engineer (Python + LangGraph + RAG) – Remote, Immediate Joiner

AI Software Engineer (Python + LangGraph + RAG) – Remote, Immediate Joiner

Spiral Kite Labshosur, tamil nadu, in
17 hours ago
Job type
  • Remote
Job description

About the Role

We’re looking for a highly skilled AI Software Engineer (2+ years of experience) to join our early-stage fintech AI startup. In this role, you’ll work on cutting-edge conversational AI systems, LLM-powered automation, and intelligent agent workflows using Python, LangGraph, and Retrieval-Augmented Generation (RAG) frameworks.

This is a hands-on engineering position where you’ll architect, build, and optimise AI-driven pipelines and chatbot systems that directly shape the user experience. If you enjoy building complex AI systems, designing reliable RAG pipelines, and experimenting with production-ready agent frameworks — this role is for you.

What You’ll Do

  • Design, develop, and maintain AI-driven backend services using Python.
  • Build, optimise, and maintain LangGraph-based agent workflows and stateful LLM applications.
  • Architect scalable Retrieval-Augmented Generation (RAG) pipelines including embedding generation, vector stores, document ingestion, and query orchestration.
  • Build and deploy chatbots and conversational AI features for fintech use cases.
  • Integrate APIs, LLM providers, vector databases, and orchestration tools.
  • Collaborate with frontend teams to deliver seamless and intelligent user interactions.
  • Implement robust security, monitoring, and optimisation practices for AI systems.
  • Leverage AI coding tools (Claude Code, Cursor, Copilot, etc.) to increase development velocity.
  • Participate in code reviews, testing, experiment tracking, and CI / CD workflows.
  • Work closely with founding team to design scalable solutions for AI-driven and finance-oriented features.

What We’re Looking For

  • 2+ years of experience as a Software Engineer or AI Engineer.
  • Hands-on experience with LangGraph, LangChain, or similar agent orchestration systems.
  • Proven experience building and deploying RAG pipelines and LLM-powered applications.
  • Prior experience building chatbots or conversational agents (preferably production-grade).
  • Solid understanding of vector databases (Pinecone, PgVector, Chroma, etc.).
  • Strong expertise in Python, including FastAPI or similar backend frameworks.
  • Knowledge of databases (PostgreSQL, MySQL, MongoDB) and API design.
  • Familiarity with LLM APIs (OpenAI, Anthropic, Gemini, etc.).
  • Proficient in Docker, Git, and modern deployment practices.
  • Comfortable using AI-assisted coding tools.
  • Excellent communication skills and ability to work in fast-paced remote environments.
  • Bonus Points If You Have

  • Experience with asynchronous programming and Python performance optimization.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and serverless / microservices architecture.
  • Prior experience in GenAI, fintech, or high-growth product environments.
  • Understanding of prompt engineering, evals, and model fine-tuning workflows.
  • What You’ll Get

  • Opportunity to work in an early-stage fintech AI startup — influencing core product direction.
  • High ownership and visibility across engineering and product functions.
  • Mentorship and collaboration with senior AI engineers.
  • Flexible and fully remote working environment.
  • Fast career growth and potential to become a long-term core team member.
  • We highly prefer candidates who actively leverage AI coding assistants in their workflow and take significant ownership in their day-to-day work.

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