[Hiring] Software Engineer @Abnormal

Role Description

We are looking for a Software Engineer to help build and evolve our platform as it scales to meet expanding product requirements. This role blends hands-on backend systems development with growing ownership of features and production systems, including AI-powered and agentic components, working closely with senior engineers to improve system reliability, reduce latency, and accelerate feature release cycles.

What You'll Do

• Technical Delivery & Excellence:
  • Design, build, and iterate on scalable backend and ML systems, APIs, frameworks, and internal tools.
  • Take ownership of well-scoped features and components, with guidance from senior engineers on more complex, cross-system work.
  • Contribute to the stability, reliability, and operational excellence of critical systems.
  • Write clean, testable, and resilient code with attention to edge cases and performance.
  • Contribute to technical design documents and participate in design discussions.
  • Participate in code and design reviews, and contribute to on-call rotations.
• AI Engineering & Agents:
  • Help design and build LLM-powered features and agentic workflows (e.g., automated investigation, triage, or remediation assistants) as part of the ATO platform.
  • Integrate LLM APIs and agent frameworks into backend services, with attention to reliability, cost, latency, and evaluation.
  • Contribute to prompt design, tool/function-calling integrations, and guardrails for AI-driven components under senior engineer guidance.
  • Use GenAI coding assistants and agents as part of your own development workflow to accelerate delivery and testing.
• Collaboration & Growth:
  • Collaborate with product managers, designers, and engineers to align on specifications and priorities.
  • Break down well-defined projects into clear executable steps and drive them to completion.
  • Contribute to roadmap discussions and share ideas for technical improvements.
  • Communicate effectively in an async-first environment, providing clarity on updates, challenges, and solutions.
  • Actively seek feedback and mentorship from senior engineers to accelerate your growth.

Qualifications

• A proactive engineer who takes ownership of assigned work and is eager to grow into increasingly complex projects.
• Strong focus on code quality, reliability, monitoring, and performance.
• Good grounding in system design principles, with a growing ability to reason about scaling and reliability tradeoffs.
• Comfortable working cross-functionally and in a distributed environment.
• Genuine interest in LLM-powered features and agentic systems, and proactive in leveraging modern developer productivity tools, including GenAI assistants and coding agents, to accelerate delivery.

Requirements

• 3-5 years of industry experience as a Software Engineer, with a track record of shipping production backend systems.
• Solid backend proficiency in Python, with experience building and maintaining production systems.
• Experience with system design fundamentals and building reliable, scalable applications.
• Working knowledge of relational databases and modern data storage technologies.
• Exposure to service-to-service communication (gRPC, Kafka) and caching (Redis) is a plus.
• Experience with AWS cloud services (S3, RDS) and deployment practices.
• Familiarity with containerization and orchestration (Docker, Kubernetes, Helm) is a plus.
• Understanding of service health, monitoring, and incident response practices.
• Comfortable writing technical documentation and contributing to design discussions.

Nice-to-Have Skills

• Hands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic) into production applications.
• Exposure to agent frameworks or patterns (e.g., LangChain, LangGraph, tool/function calling, ReAct-style agents).
• Familiarity with prompt engineering, evaluation, and observability for AI-driven features.