Axiomatic_AI

Axiomatic AI is pioneering a new class of AI called Axiomatic Intelligence (AxI) that integrates formal verification with deep learning to produce verifiable, interpretable, and logically rigorous AI…

AI-driven DesignEngineering InnovationFormal VerificationPhotonic HardwarePhysics-based ModelsScientific InnovationSemiconductor HardwareVerifiable AIaxiomatic-ai.com

Axiomatic_AI

AI-driven DesignEngineering InnovationFormal VerificationPhotonic HardwarePhysics-based ModelsScientific InnovationSemiconductor HardwareVerifiable AIaxiomatic-ai.com

HQBoston, US

Team Size33

Open Jobs6

Total Funding-

Latest FundraiseUnknown

Join the Team

Senior Software Engineer (Backend)

On-SiteBoston, MA, US

On-Site • Boston, MA, US

Position Overview As a Senior Software Engineer (Backend) at Axiomatic, you will:

Design and build scalable backend services (FastAPI, FastMCP, Python)
Own key features end-to-end: from API design to database schema to deployment
Integrate AI capabilities (LLMs, Agents) into production systems
Collaborate with frontend, AI, and infrastructure teams on architecture and delivery
Ensure system reliability, performance, and security
Mentor other engineers as the team grows

Key Responsibilities

Required Skills & Experience Must-Have

7+ years of backend development experience
Deep knowledge in Python, FastAPI
Strong database skills: PostgreSQL, SQL, ORMs (SQLAlchemy)
Experience designing REST APIs: best practices, versioning, documentation
Cloud platform experience: GCP preferred (AWS, Azure acceptable)
Testing mindset: unit tests, integration tests, TDD
Version control & CI/CD: Git, GitHub Actions, Docker
Strong problem-solving skills: debugging, performance optimization
Fluent in English (Spanish is a plus)

Nice-to-Have

Experience with FastMCP
Familiarity with LangChain, Pydantic AI or similar frameworks
Knowledge of async programming (asyncio, async/await)
Familiarity with AI/ML APIs (OpenAI, HuggingFace, Vertex AI)
Understanding of infrastructure as code (Terraform)
Experience with microservices architecture

Tech Stack Current Stack:

Backend: Python, FastAPI, SQLAlchemy, Pydantic AI, Alembic
Databases: PostgreSQL, Redis (caching)

What we offer: Competitive compensation

Stock Options Plan: Empowering you to share in our success and growth.
Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
Work-Life Balance: Flexible work arrangements in one of our offices with potential options for remote work.
Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.

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Architecture & Design

Contribute to system architecture and technical decisions

Design for scalability, reliability, and security

Propose and implement improvements to codebase and infrastructure

Document technical designs and API contracts

Ensure best practices are followed by the team

Backend Development

Design and implement REST APIs using FastAPI

Build scalable, maintainable, and testable services

Design database schemas and optimize SQL queries (PostgreSQL)

Integrate with external services (OpenAI, Anthropic)

Optimize API performance, latency, and throughput

Quality & Testing

Write comprehensive unit and integration tests

Participate in code reviews (give and receive feedback)

Debug and resolve production issues

Maintain high code quality standards

Collaboration & Mentorship

Work closely with Tech Lead on architecture and roadmap

Partner with AI Platform Engineer on AI integrations

Mentor mid-level engineers and share knowledge

APIs: REST, WebSockets, SSE

AI/ML: OpenAI API, Anthropic, Gemini

Cloud: Google Cloud Platform (Cloud Run, Cloud SQL, GCS, VPCs, Bucket)

Infrastructure: Terraform, Docker

CI/CD: GitHub Actions, Terraform

Testing: pytest, pytest-asyncio, pytest-cov

Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.