FDE Intern

About Infinex Labs

Infinex Labs is a technology-focused organization committed to developing innovative, scalable solutions in fast-evolving domains. The company offers a collaborative environment where interns work closely with experienced engineers and researchers on real-world projects. Team members are encouraged to experiment, learn, and apply modern engineering practices to deliver high-quality products. Infinex Labs values curiosity, problem-solving, and a practical approach to building impactful technology for its clients and partners.

About the Role

Forward Deployed Engineers (FDEs) bridge the gap between client problems and our systems. You will be tasked with integrating AI systems into real-world workflows and deploying them into production. This is an active, hands-on internship where you will work on client projects from week one, directly with the founder, and your contributions will be utilized by actual businesses.

Key Responsibilities

• Work directly with clients to understand their workflow, data, and desired outcomes.
• Prototype rapidly to validate the core functionality of the hardest parts of a system.
• Build and deploy LLM pipelines, RAG over client data, and AI agents that perform real actions.
• Test on real client data, measuring accuracy, latency, and failure modes before launch.
• Implement monitoring and guardrails, and continuously improve systems post-go-live.
• Write clear documentation and demos to explain implemented solutions to clients.
• Contribute to internal products and open-source initiatives when not engaged on client projects.

Requirements & Tech Stack

• AI-native approach to work; proficient with tools like Claude, Cursor, Claude Code, Copilot, or similar for coding, research, debugging, and shipping.
• Strong proficiency in Python and/or TypeScript.
• Comfort working with APIs, databases, and the command line.
• Hands-on experience with LLM APIs, prompt design, RAG, or agent frameworks.
• Demonstrated experience shipping real projects (side projects, open-source contributions, hackathon builds, or products used by others).
• Clear communication skills, capable of interacting with clients and debugging technical systems.
• High degree of ownership and proactivity in problem-solving.

Bonus Points

• Experience with deployment (e.g., Docker, cloud platforms, Vercel).
• Experience building multi-step agents or tool-calling systems.
• Interest in fintech, real estate, or workflow automation.
• A public GitHub profile showcasing your work.

What You Don't Need

• A CS degree from a specific institution.
• Years of formal work experience.
• A perfect resume.

What Matters

• What you have built.
• Your learning speed.

Why This Internship is Valuable

• Real Production Work: Ship AI systems used by actual clients, not practice projects.
• Direct Access: Work one-on-one with the founder, with minimal layers and approvals.
• Diverse Experience: Gain exposure to agents, LLM pipelines, client delivery, and deployment within a single role.
• Portfolio Building: Develop a portfolio of real work across various industries.
• Remote and Flexible: Work from any location in India.
• Stipend: ₹30k/month stipend, with potential for a Pre-Placement Offer (PPO) for top performers.