Senior Software Engineer (Backend)

About us:
Axiomatic_AI is dedicated to accelerating R&D by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering, empowering engineers specifically in hardware design and Electronic Design Automation (EDA), with a mission to revolutionize the fields of hardware design and simulation in the photonics and semiconductor industry. We seek highly motivated professionals to help us bring these innovations to life, driving the evolution from development to commercial product.

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

1. 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
   
   
   
   


2. 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




3. 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




4. Collaboration & Mentorship




• Work closely with Tech Lead on architecture and roadmap


• Partner with Applied AI engineers in AI integrations


• Mentor mid-level engineers and share knowledge

Required Skills & Experience
Must-Have

• 7+ years of software engineering experience building and maintaining production systems


• Strong in at least one backend language (Python, Java, Go, or TypeScript) and able to become productive in Python quickly


• Strong software engineering fundamentals: design patterns, code structure, testing practices, and code review habits


• Experience working with databases (SQL and NoSQL), such as PostgreSQL, Redis, and using ORMs or data access layers where appropriate


• API/service development experience (REST, async programming) and collaboration across teams


• 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

• Solid working proficiency in Python for production code (clean code, typing, async patterns, testing), even if it is not your primary language


• Experience with FastMCP


• Familiarity with applied AI frameworks such as PydanticAI, LangChain, or similar (or strong interest in learning them)


• Experience working with cloud AI platforms such as Vertex AI (or equivalent on AWS/Azure)


• Awareness of AI safety, reliability, and security concerns (prompt injection, data leakage, guardrails)


• 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)


• 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

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.


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

Why join us? 

At Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 10X30 mission. This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!

Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic-AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn’t perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.