AI Agent Developer
DwellFi
- Bangalore, Karnataka
- Permanent
- Full-time
- Design & Build: Own the end-to-end development of sophisticated AI agents that analyze data, automate workflows, and provide insights for private market professionals.
- Innovate with LLMs: Mastermind agent orchestration and craft sophisticated prompts to unlock the full potential of large language models for financial applications.
- Build the Backbone: Develop clean, scalable, and robust APIs using FastAPI that allow our agents to interact seamlessly with complex financial data.
- Collaborate & Create: Work closely with a tight-knit team of product, design, and engineering experts to bring ambitious ideas to life.
- Push the Boundaries: Stay on the cutting edge of AI, constantly exploring new technologies and techniques to ensure we remain at the forefront of the industry.
- Optimize for Excellence: Leverage AI-powered tools and rigorous testing to write high-quality, efficient, and maintainable Python code.
- A Bachelor's degree or Diploma in Computer Science/Engineering (or equivalent hands-on experience in software development with an AI focus).
- 1+ years of backend development experience using Python (if you're a pro with another language but can learn Python quickly, we're interested).
- Proven experience in the AI/ML space with a solid grasp of AI agent architectures.
- Technical proficiency with some of our core technologies: FastAPI/Django, PostgreSQL (or other SQL DBs), and task queues like Celery.
- A natural problem-solver with strong analytical skills.
- An excellent communicator and collaborator who thrives in a team environment.
- Familiarity with unit testing (like Pytest) is a big plus.
- You have an entrepreneurial spirit and have experienced the "0-to-1" phase of an early-stage startup.
- You've worked with major LLM providers like OpenAI, Google (Gemini), or Anthropic.
- You're familiar with agentic frameworks such as LangChain or LlamaIndex.
- You have experience with vector databases (e.g., PG Vector, Pinecone) for RAG applications.
- You've built and managed CI/CD pipelines on cloud platforms like AWS, GCP, or Azure.
Expertia AI Technologies