Tactical Edge
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Python AI Engineer

Build and operate production-grade AI systems and agentic workflows using Python.

RemoteAI & Solutions EngineeringFull-time

Role Overview

The Python AI Engineer builds, integrates, and maintains AI systems in production. The role focuses on implementing models, pipelines, agent workflows, and evaluation logic in Python, working closely with product managers, AI solutions engineers, and platform teams to ensure systems are robust, scalable, and observable.

What You'll Do

  • Develop and maintain AI services, pipelines, and agent workflows in Python.
  • Implement LLM integrations, RAG pipelines, and orchestration logic.
  • Design evaluation, monitoring, and fallback mechanisms for AI systems.
  • Optimize performance, reliability, and cost efficiency in production.
  • Collaborate with solutions engineers to implement customer-facing AI systems.
  • Write clean, testable, and maintainable code.
  • Debug and improve AI systems based on real usage and feedback.
  • Contribute to internal libraries, tooling, and best practices.

    • What We're Looking For

  • Strong Python experience in AI, ML, or data-heavy systems.
  • Experience building production services (APIs, workers, pipelines).
  • Familiarity with LLMs, embeddings, vector stores, or agent frameworks.
  • Understanding of testing, monitoring, and operational concerns.
  • Pragmatic mindset focused on reliability and iteration.
  • Ability to collaborate across product and delivery teams.
  • Bonus: Experience with cloud-native deployments (AWS) and MLOps practices.

    • How We Work

    Outcome-driven

    Production reliability over novelty

    Agentic by design

    Systems that reason and act safely

    Enterprise-first

    Security, governance, scale

    Small teams, high ownership

    Autonomy with accountability

    What You'll Get

    • Ownership of real, production AI systems
    • Exposure to enterprise-scale AI challenges
    • Collaboration with product, solutions, and delivery teams
    • Competitive compensation (role/location dependent)
    • Flexible work setup where applicable

    Hiring Process

    1. 1Intro call (context + fit)
    2. 2Technical discussion (Python + AI system design)
    3. 3Practical scenario or code discussion (production-focused)
    4. 4Final conversation

    We value production readiness, clear code, and thoughtful iteration over flashy demos.

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