Software Engineer, Agentic Platform
AxionQuality Management company
San Francisco, United StatesSenior
Bessemer Venture Partners
Salesforce Ventures
Inspired Capital
Amplo
SE Ventures
Data & AI
About the role
TL;DR
Architect and scale agentic systems for Axion's AI-powered platform.
- •We're looking for an experienced Software Engineer to help architect and scale the agentic systems at the core of the Axion platform.
- •This is a senior individual contributor role: you'll own design decisions that determine how our agents reason, act, and integrate with enterprise data, working in close partnership with Engineering and Product leadership.
- •Key Responsibilities Own technical architecture for our agentic systems—orchestration, tool use, memory, retrieval, evaluation, observability, and the guardrails that keep agents reliable when the input data is noisy and incomplete.
- •Build and harden the reasoning layer and infrastructure that take customer data from ingestion through agent-driven reasoning to root-cause insight, at the scale and reliability manufacturers require.
- •Establish rigorous evaluation and testing for non-deterministic systems—measuring agent accuracy against expert-validated ground truth and the outcomes customers track: detection rates, investigation speed, and warranty cost.
- •Partner across Engineering and Product to shape the technical vision and roadmap for the agent platform.
- •Raise engineering standards through code review, design docs, and the technical direction others build on.
- •Requirements Minimum 5+ years of software engineering experience, with recent, hands-on focus on building agentic systems (LLM orchestration, tool/function calling, multi-step and multi-agent reasoning, retrieval and context engineering, and interoperability protocols such as MCP, or comparable work).
- •Demonstrated ability to design and own complex distributed systems, ideally in data-intensive B2B SaaS environments.
- •Hands-on fluency with the modern agentic stack and a strong intuition for the failure modes of non-deterministic, LLM-driven systems—plus the evaluation and observability practices needed to tame them.
- •Experience turning messy, heterogeneous real-world data into something a model can reason over reliably.
- •A track record of technical mentorship; you make the engineers around you better without needing formal authority.
- •A firm believer in a "Data First" philosophy who can make sound decisions in ambiguous, fast-moving situations.
- •A strong executor in fast-paced environments who can balance shipping MVPs with a commitment to production-grade systems.
Required skills
PythonNode.jsMongoDBPandasNumPySparkAirflowCI/CDDockerKubernetesTechnical LeadershipEngineering Management
Nice-to-have skills
FastAPIFlaskRedisAWSGoogle CloudTerraformREST APIgRPCWebSocketsRabbitMQ
Domain expertise
ai
Benefits & perks
Work with cutting-edge AI technology making a tangible impact in manufacturing, Collaborative, mission-driven team and supportive leadership, Generous time off, Competitive compensation, equity, and benefits, Lunch stipend
Tech stack
PythonNode.jsFlaskFastAPIPandasNumPySparkAirflowMongoDBRedisAWSGoogle CloudTerraformCI/CDDockerKubernetesGitLinuxJiraConfluenceFigmaPostmanREST APIgRPCWebSocketsRabbitMQCelerySidekiqNotionSlack
