About the role
HOW TO APPLY: Apply through the Fermi official careers page. Fermi is hiring an AI Engineer to build and ship the core AI workflows powering its AI tutoring product. The role focuses on agentic tutor… Subscribe to Premium to view the full description and apply.
Responsibilities
- Build and ship core AI workflows for the tutoring application.
- Develop agentic tutoring flows including hinting, step-by-step guidance, and misconception detection.
- Build answer evaluation, grading, and feedback systems.
- Develop retrieval and grounding systems including content ingestion, chunking, embeddings, and re-ranking.
- Build personalization systems using student memory, progress signals, and difficulty adaptation.
- Work on multimodal AI pipelines involving images and diagrams.
- Optimize latency and cost through caching, batching, streaming, and fallbacks.
- Build offline evaluation test sets, regression checks, and quality gates.
- Implement observability through traces, logs, metrics, and prompt/version tracking.
- Build reliability and safety mechanisms including guardrails and age-appropriate output.
- Own features end-to-end from PRD through implementation, deployment, monitoring, and iteration.
- Collaborate with product, design, and education teams to translate learning goals into AI behavior.
Requirements
- 1–5 years of strong Python experience.
- Ability to write clean production-quality code while moving quickly.
- Experience building services using FastAPI or Flask.
- Experience building APIs and debugging production issues.
- Practical understanding of Docker and local development workflows.
- Basic understanding of deployment concepts.
- Strong computer science fundamentals including data structures and systems thinking.
- Hands-on experience with OpenAI SDK, LangChain, Haystack, or a comparable LLM framework.
- Understanding of prompting, tooling, retrieval, agents, and evaluations.
- Experience building something real through internships, substantial projects, research engineering, or open-source contributions.
- CS background preferred or equivalent demonstrated capability.
Benefits
- Opportunity to build core AI products used by students.
- Exposure to agentic AI, evaluations, multimodal tutoring, and production AI systems.
- High ownership and direct impact in a lean team.
- Direct collaboration with product, design, and education teams.
- Opportunity to work on challenging AI engineering problems at scale.
Required Skills
Frequently Asked Questions
Where is this AI Engineer role located?
This position is based in Bangalore, India (On-site).
What experience is required for AI Engineer?
Candidates are expected to have 1+ of experience for this role.
How do I apply for AI Engineer at Fermi?
Use the Apply button on this HireDoor job page to submit your application for AI Engineer at Fermi.
What are the key benefits for AI Engineer?
Key benefits include: Opportunity to build core AI products used by students.; Exposure to agentic AI, evaluations, multimodal tutoring, and production AI systems.; High ownership and direct impact in a lean team.; Direct collaboration with product, design, and education teams.; Opportunity to work on challenging AI engineering problems at scale..
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