AI Platform Engineer (India - Remote)

DwellFi, Inc.; India; Hybrid; INR 800,000 - 1,500,000; Full time

Job summary

DwellFi, Inc. is looking for a passionate AI Platform Engineer to join their team in India. This full-time role involves architecting and building systems that power an AI-native platform for private markets. You will oversee backend infrastructure development, manage data systems, and work with AI to automate workflows. The ideal candidate has a strong background in backend engineering, a bachelor's degree, and a genuine passion for AI-driven products. Familiarity with FastAPI, PostgreSQL, and cloud services is essential.

Qualifications

• 1+ years of backend development experience in Python or capable of quick ramp-up from another language.
• Hands-on experience with LLMs and frameworks like LangChain.
• Strong understanding of SQL/PostgreSQL schema design.

Responsibilities

• Build and scale FastAPI-based systems integrating AI agents.
• Develop multi-agent systems leveraging LLMs.
• Manage PostgreSQL data systems focusing on performance and security.

Skills

Backend engineering

AI-driven product development

API design

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Python

PostgreSQL

Docker

Kubernetes

AWS/GCP

Celery

Job description

About

Are you ready to build the future of AI in finance? At DwellFi, a California based startup, we're creating the definitive AI-native vertical platform for private markets. Our mission is to fundamentally reshape how investment and operations are conducted in this multi-trillion-dollar industry.

Note

This is a full-time role. We prefer candidates who have completed their coursework and are available to join full-time. Candidates awaiting graduation results may apply if available full-time and have strong internship or relevant experience. Students currently pursuing their degree are encouraged to apply after graduation.

Must Read

We are a team of highly passionate AI builders who operate with strong ownership and speed. You'll thrive here if you enjoy learning and applying the latest technologies every day. If a comfortable, low-ownership role is your priority, this is not the right fit—please refrain from applying.

What You'll Do

As an AI Platform Engineer, you'll architect and build the systems that power our platform. You'll own the end-to-end development of scalable backend infrastructure and AI agents that analyze data, automate workflows, and generate insights for our users in Private Asset Management space.

Who You Are

• You have a strong foundation in backend engineering, paired with a genuine passion for building AI-driven products.
• You think like an entrepreneur, not just an individual contributor, and must own features end-to-end, from market insight and concept validation to development, deployment, and scaling it into revenue-generating products.
• You are deeply curious about AI, consistently exploring emerging technologies and translating them into practical, high-impact features.

Your responsibilities

• Build and scale FastAPI-based systems integrating AI agents with complex data workflows.
• Develop and orchestrate multi-agent systems leveraging LLMs.
• Manage PostgreSQL data systems with a focus on performance, integrity, and security.
• Implement async processing and scalable workflows (e.g., Celery).
• Design robust prompt strategies and production-grade agent architectures.
• Write clean, testable, and well-documented Python code.
• Continuously experiment with and adopt cutting-edge AI tools and frameworks.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent hands‑on experience).
• 1+ years of backend development experience in Python (or strong experience in another language with the ability to ramp quickly).
• Strong understanding of API design and SQL/PostgreSQL schema design.
• Experience with background job frameworks like Celery or similar tools.
• Hands‑on experience with LLMs (OpenAI, Gemini, Anthropic) and frameworks like LangChain or RAG.
• Experience with Docker, Kubernetes, and cloud platforms (AWS/GCP).
• Solid understanding of AI/ML or agent-based architectures.
• Strong problem‑solving, communication, and collaboration skills.