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Role description

Senior Software Engineer

AD
AdeptID
AI-native
TypeFull-time
WorkplaceHybrid
SenioritySenior
Salary$160,000–$182,000
LocationBoston, MA
Posted7/2/2026
Engineering

Key Responsibilities

  • Design, build, and operate the backend services and APIs that power talent matching in production
  • Build asynchronous, event-driven APIs and pipelines that stay fast and reliable under load
  • Partner with Data Science to take their matching and language models from prototype to reliable production services
  • Use AI-assisted development daily to design, write, test, and review code, and help set our standards for it
  • Own quality for what you ship: testing, monitoring, latency, and cost
  • Collaborate with Product and Operations to turn real recruiter and candidate needs into shipped features

What We're Looking For

  • 5+ years of software engineering experience with strong Python skills
  • Hands-on experience designing and operating production APIs and backend services at scale
  • Experience designing asynchronous APIs (queues, events, webhooks, or streaming) and reasoning about concurrency
  • Comfortable in a stack like ours: Python on AWS, infrastructure as code using CDK, asynchronous services over SQS, and Postgres (with VectorChord for vector search)
  • Fluency with AI-assisted development: building with coding agents and LLM tools is part of your normal workflow
  • Strong fundamentals in testing, observability, and debugging across distributed systems
  • Nice to have: experience with small language models (SLMs), including fine-tuning, evaluation, or serving them in production
  • Nice to have: experience close to AI/ML systems, such as model serving, retrieval, or evaluation harnesses
  • Staffing, recruiting, or HR tech experience is a plus

Relevant archetypes

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Company info

AD

AdeptID

AdeptID is the developer of machine-learning-powered talent matching software to support hidden talent in the workforce. The company's models and API make it easy for any application to match talent to demand and training by surfacing underlying, transferable skills earned in seemingly different jobs.

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