Website:
spiralkitelabs.com
Job details:
We’re looking for a highly skilled Software Engineer (2+ years of experience) who has expertise in AI engineering 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.
Click on Apply to know more.