Senior Software Engineer - Build Scalable AI Tools

Seekr

Reston (VA)

Hybrid

USD 150,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

Meaningful Mission & Impact
Equity Ownership – RSUs
Unlimited PTO + 14 holidays
Hybrid work environment
401(k) with company match
Comprehensive Health & Wellness
Parental Leave

Job summary

Seekr is seeking a Senior Software Engineer to help grow our AI-powered platform. You’ll work with a smart team of ML scientists and software developers to build scalable, reliable applications and tools for Seekr’s AI products, agents, and tooling.

You’ll collaborate closely with Backend and DevOps to ship production-ready features, mentor teammates, and shape engineering best practices. This role supports a hybrid work model with offices in Reston, VA and Austin, TX.

Qualifications

  • 5+ years in Software Engineering on large-scale distributed systems.
  • Bachelor's degree in computer science or equivalent experience.
  • Expert knowledge in Python, Postgres, RESTful API design, Docker, Kubernetes, microservices, testing, Kafka.

Responsibilities

  • Ship high-quality, production-ready features.
  • Provide empathetic leadership and mentorship.
  • Drive sound technical decisions and engineering best practices.
  • Collaborate with Product, QA, and business partners to develop practical solutions.
  • Break down abstract ideas into well-defined, actionable engineering work.

Skills

5+ years exp
Strong collaboration
Agile / Scrum
AI tools experience
AI coding assistants

Education

Bachelor's degree in CS or equivalent

Tools

Python
PostgreSQL
RESTful API
Docker
Kubernetes
Kafka

Job description

Seekr is seeking a Senior Software Engineer to help grow our AI-powered platform. You’ll work with a smart team of ML scientists and software developers to build scalable, reliable applications and tools for Seekr’s AI products, agents, and tooling.

You’ll collaborate closely with Backend and DevOps to ship production-ready features, mentor teammates, and shape engineering best practices. This role supports a hybrid work model with offices in Reston, VA and Austin, TX.

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