Senior Software Engineer, Talent Matching Software

AdeptID

$120K — $150K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience with strong Python skills
  • Hands-on experience in designing and operating production APIs and backend services at scale
  • Experience designing asynchronous APIs and understanding concurrency
  • Comfortable with Python on AWS and infrastructure as code using CDK
  • Fluency with AI-assisted development, including coding agents and LLM tools
  • Strong fundamentals in testing, observability, and debugging across distributed systems
  • Nice to have: experience with small language models and AI/ML systems

Responsibilities

  • Design, build, and operate backend services and APIs for talent matching
  • Build asynchronous, event-driven APIs and pipelines that remain fast under load
  • Collaborate with Data Science to transition models from prototype to production
  • Utilize AI-assisted development in code design, writing, testing, and standards
  • Ensure high quality through testing, monitoring, latency management, and cost control
  • Work with Product and Operations to fulfill recruiter and candidate needs into features

Benefits

  • Opportunity to work with a small, dynamic team on cutting-edge AI tooling
  • Involvement in critical backend services that impact large HR technology organizations
  • Potential to influence product features from inception to launch
  • Chance to work closely with Data Science and enhance development workflows
  • Flexibility to integrate AI-assisted development into daily tasks
Full Job Description
The Role

We are hiring a Senior Software Engineer to build the core software behind our talent matching: the services that search, score and rank candidates and the APIs that deliver matches to some of the largest HR technology organizations in the world, and to our own staffing business. Data Science owns the matching and language models; you own the production services, serving layer, and APIs that put them to work reliably and at low latency. This is a hands-on role for an engineer who builds with modern AI tooling by default, on a small and growing team.

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

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