AI Full-Stack Engineer

Tanagram10 months ago
San Francisco, CA, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Tanagram’s mission is to enable developers to work at the speed of thought by turning hard-won lessons into real-time guardrails in code reviews and more. As an AI Full-Stack Engineer, you will bridge the gap between research and application—building our product end-to-end with a primary focus on backend systems (with UI development on the horizon). You’ll work in a small, dynamic team, owning experiments and proof-of-concepts that directly tackle high-value customer challenges.

Key Responsibilities

  • Talk directly to users: understand requirements, seek feedback, and iterate based on their input.
  • Evaluate and build with cutting-edge AI tools such as LLM-Evals, Guardrails for AI, and code-writing agents.
  • Build services to ingest data from platforms like Github, Slack, and Confluence.
  • Deploy and utilize reasoning models like Qwen2.5-7B-Instruct.
  • Eagerly identify and implement improvements to enhance performance and scalability.
  • Ensure systems are efficient, maintainable, and well-monitored.
  • Shape our product roadmap by influencing project sequencing and proposing new ideas.
  • Collaborate closely with founders and design teams to define high-level product concepts.
  • Contribute to various initiatives to drive company growth and day-to-day operations.

Required Qualifications

  • Several years of individual contributor experience balancing speed with scalable implementations (senior engineer level preferred).
  • Hands-on experience building with LLMs and a strong intuition for leveraging models effectively.
  • Proven work examples that demonstrate reliable and tastefully designed solutions.
  • Strong self-direction and motivation to independently seek out high-value tasks in a rapidly changing environment.
  • Clear and decisive communication on both technical and strategic matters, with the ability to contribute critical ideas.

Preferred Qualifications

  • Experience working on parsers and compilers (e.g. LLVM, Typescript), or with type systems.
  • Familiarity with search and/or indexing technologies.
  • Previous startup experience or having founded a startup.

Benefits & Perks

  • Challenging work with the latest advances in LLM techniques.
  • Top-of-market Compensation with salary ranging from $160,000 to $240,000 USD and equity ranging from 0.5% to 1.5% (with flexibility between cash and equity in an offer).
  • Employee-friendly equity terms including low FMV, early exercise, and extended exercise.
  • Your choice of MacBook Pro plus a stipend for computer/office equipment.
  • Food stipend and meal reimbursements.
  • Health, dental, and vision insurance.
  • Unlimited PTO.
  • A relatively un-chaotic working environment where stability meets growth.
  • An opportunity to lead and shape our company’s future.

Required Skills

LLM integration
AI Research
Cloud Services
Full-Stack Development
Python
Backend Development
Swift
Data Ingestion
Scalability