Join Dutient.ai to build intelligent systems and agentic workflows that power enterprise automation. As a founding AI/ML Engineer, you'll shape the architecture of cutting-edge ML systems integrated with scalable backend services. This role requires 2+ years of hands-on experience with Python ML frameworks and production ML workflows.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
AI/ML Engineer (Fullstack)
Autonomous Enterprise AI Platform
Immediate joiners preferred
📍 India (Remote)  🎓 2+ Years Experience  🚀 Early-Stage Startup
Role Overview
Join Dutient.ai to build intelligent systems and agentic workflows that power enterprise automation. As a founding AI/ML Engineer, you'll shape the architecture of cutting-edge ML systems integrated with scalable backend services. Our platform leverages Amazon Bedrock, LangGraph, and state-of-the-art RAG pipelines to deliver explainable, multi-modal AI agents at enterprise scale.
This isn't a slide deck role. It's for the person who wants to see how a company is actually built → from the guts up.
Tech Stack
Engineering & Infrastructure: React, Node.js, Python, FastAPI, Terraform, AWS, Kubernetes
ML & AI: LangGraph, LangChain, RAG, Amazon Bedrock, Qdrant, Postgres, Production ML Workflows
What You'll Own
- AI Engineering: Design & deploy agentic AI workflows using FastAPI, Python, LangChain/LangGraph.
- RAG & Vector Search: Build and optimize RAG pipelines with Qdrant vector search and Postgres for hybrid retrieval.
- Backend & Microservices: Build feedback-driven features and backend automation with microservices and APIs.
- System Architecture: Shape system architecture and security alongside founders.
- Product Systems: Own end-to-end product features — from ML model to user-facing dashboard.
- Infrastructure: Provision and manage cloud infrastructure on AWS using Terraform. Containerize with Kubernetes.
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
The Bar
- 2+ years of hands-on experience with Python ML frameworks and production ML workflows.
- Essential: FastAPI, Python, LangChain/LangGraph experience.
- Cloud deployment on AWS is required; familiarity with Bedrock is a plus.
- Strong fundamentals in backend, agentic frameworks, and production ML workflows.
- Experience building product systems end-to-end — not just ML models in isolation.
- Proficiency in React for building responsive, data-rich frontend interfaces.
- Hands-on with containerisation (Docker/Kubernetes) and IaC tools like Terraform.
Good to Have
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience implementing RAG systems, knowledge graphs, or agentic AI architectures.
- Ability to read, evaluate, and implement ML research papers independently.
- Exposure to secure, scalable enterprise systems handling regulated or sensitive data.
- Familiarity with compliance, governance, or data privacy domains.
Why Dutient.ai?
Zero politics. High trust. A front-row seat to the AI & Data Governance shift.
- ESOPs post-probation — own a meaningful stake in an AI-powered future.
- Fully Remote — work from anywhere in India.
- Deep, hands-on exposure to Amazon Bedrock, LangGraph, RAG, Qdrant, and proprietary agent frameworks.
- Work directly with AI researchers, product experts, and cloud architects from day one.
- Opportunity to build a transformative AI product used by Fortune 500 enterprises globally.
- Strong focus on innovation, continuous learning, and shipping real products.
If this excites you more than it scares you, DM or email your profile with a short note on why you're the right fit.
Similar Jobs
Explore other opportunities that match your interests
BayOne Solutions
InHousen
