Tactical Edge
Back to Careers

Agentic AI Engineer

Build autonomous AI systems that reason, plan, and execute in production environments. Design multi-agent architectures, orchestration pipelines, and tool-use frameworks that power our enterprise AI solutions.

RemoteEngineeringFull-time

Role Overview

We're looking for an engineer who builds autonomous AI systems that reason, plan, and execute in production environments. You'll design multi-agent architectures, orchestration pipelines, and tool-use frameworks that power our enterprise AI solutions.

This is not a research role — this is a production engineering role where your agents run 24/7 in enterprise environments.

Key Responsibilities

Agent Architecture & Development

  • Design and build multi-agent systems using frameworks like LangGraph, CrewAI, or custom orchestration.
  • Implement tool-use, function calling, and agentic workflows that operate reliably in production.

    • LLM Integration & Optimization

  • Work with models from Anthropic, OpenAI, and open-source (Llama, Qwen, Mistral).
  • Optimize prompts, manage context windows, implement RAG pipelines, and fine-tune models for domain-specific tasks.

    • Production Systems

  • Build agents that run 24/7 in enterprise environments with proper error handling, fallback strategies, human-in-the-loop controls, and observability.
  • Deploy on AWS (Bedrock, SageMaker, ECS).

    • Evaluation & Testing

  • Design eval frameworks to measure agent quality, accuracy, and safety.
  • Build automated testing for agentic workflows including regression testing and red-teaming.

    • Security & Governance

  • Implement guardrails, output validation, and audit logging for AI agents operating in regulated industries.

    • Key Traits (Non-Negotiable)

  • Self-directed builder who ships without hand-holding.
  • Strong Python skills with deep understanding of async patterns and systems design.
  • Understands LLM internals (not just API wrappers) — tokenization, attention, context management.
  • Production-minded: thinks about reliability, observability, and failure modes from day one.
  • Comfortable with ambiguity and evolving requirements.

    • Preferred Qualifications

  • 3+ years building with LLMs in production environments.
  • Experience with agentic frameworks (LangGraph, CrewAI, AutoGen, or custom).
  • Strong Python and systems programming skills.
  • Familiarity with AWS AI services (Bedrock, SageMaker, ECS).
  • Understanding of prompt engineering, RAG architectures, and retrieval systems.

    • How We Work

    Outcome-driven

    Production over demos

    Enterprise-first

    Security, governance, scalability

    Agentic by design

    Systems that reason and act safely

    Small teams, high ownership

    Autonomy with accountability

    What You'll Get

    • Work on real, production AI deployments
    • Enterprise-scale challenges and measurable impact
    • Cross-functional collaboration and high ownership
    • Competitive compensation (role/location dependent)
    • Flexible work setup where applicable

    Hiring Process

    1

    Intro call

    Fit + context

    2

    Technical deep dive

    Agent architecture, LLM systems, production design

    3

    System design exercise

    Multi-agent workflow design

    4

    Final conversation

    Alignment + next steps

    We value clarity, ownership, and thoughtful execution over buzzwords.

    Apply for this role
    View all roles