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Open nowPosted 246 days ago

Core Engineer - Software / Applied AI

Sourcedirect Talent18 open roles

Pay
$130,000 – $185,000 a yearly
Where
Denver, CO
Work mode
Hybrid
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Your applicationOpen nowCore Engineer - Software / Applied AISourcedirect Talent · Denver, CO

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  6. 43.5%60 days
This job: posted 246 days ago

The posting

Core Engineer – Software / Applied AI Senior & Staff

Location: Hybrid – Denver, CO Employment Type: Full-time

The Opportunity

Our client is seeking a Core Engineer focused on Software / Applied AI to build production-grade AI capabilities that make a next-generation edge platform scalable, reliable, and repeatable.

In this role, you will own critical components of a private AI platform, including agentic and multi-agent systems, repeatable AI architectures, evaluation and reliability frameworks, and platform capabilities such as automated fine-tuning and runtime optimization.

This work operates within clearly defined industrial production boundaries — AI behavior must be measurable, controlled, and fully reversible before reaching production. You will partner closely with data and infrastructure teams to translate real-world requirements into scalable platform capabilities.

This is a hands-on, high-ownership role ideal for engineers who want to build the infrastructure that makes real-world AI deployments safe and dependable.

What You’ll Do

  • Build and operate production AI capabilities including: Agentic and multi-agent workflows Tool calling and orchestration Repeatable AI patterns that scale
  • Design and implement evaluation, monitoring, and quality systems to ensure AI reliability and continuous improvement
  • Develop platform capabilities for private AI, including: Automated fine-tuning workflows Model and runtime optimization Inference performance improvements under real-world constraints
  • Implement safety and operational controls such as: Policy constraints Approval workflows Auditability Rollback mechanisms
  • Build pragmatic APIs and interfaces to integrate AI capabilities across platform services
  • Improve developer velocity through automation and AI-assisted tooling
  • Partner with data and infrastructure teams to ensure high-quality context reaches inference and agent workflows
  • For senior levels: mentor engineers, review designs, and raise the technical bar

What Success Looks Like

First 3 months

  • Deliver at least one production AI capability that improves reliability, performance, or usability
  • Establish evaluation and rollback models for an AI workflow operating within industrial constraints
  • Become a trusted owner for key AI platform components

First year

  • Own major components of the private AI platform end-to-end
  • Ship repeatable AI structures that accelerate adoption across deployments
  • Drive platform evolution through measurable, production-grounded improvements

Who You Are

  • 6+ years building and operating production software systems
  • Experience shipping AI-enabled platforms or agentic systems strongly preferred
  • Strong distributed systems, performance, and reliability fundamentals
  • Experience owning production services end-to-end (e.g., Docker/Kubernetes, REST/gRPC APIs, controlled rollouts)
  • Experience building evaluation frameworks, monitoring, and AI safety/guardrail systems
  • Strong engineering craft with clean, well-documented implementations
  • Proficiency in Python and/or TypeScript/Go and modern service frameworks (e.g., FastAPI-style)
  • Comfortable navigating ambiguity and real-world constraints (latency, cost, GPU utilization, reliability)
  • Clear communicator and strong cross-functional collaborator
  • Ownership mindset focused on outcomes

Unique Experience Valued

  • Production experience with agentic or multi-agent systems and orchestration layers
  • Experience designing reusable AI patterns (tool calling, memory/state, policy constraints, guardrails)
  • Experience building fine-tuning pipelines and runtime optimization for private AI deployments
  • Background in AI monitoring and quality systems enabling safe rollback and continuous improvement
  • Strong systems intuition across data, infrastructure, and security constraints
  • Familiarity with event/data systems (e.g., Kafka), operational stores (e.g., Postgres or time-series DBs), and secure deployment patterns

Benefits & Compensation

  • Base salary range: Senior: $130,000–$155,000 Staff: $160,000–$185,000
  • Meaningful early-stage equity participation
  • Health, dental, and vision coverage
  • 401(k) with company match
  • Flexible PTO
  • Paid parental leave
  • Commuter benefits
  • Relocation and visa support for eligible candidates

Why This Opportunity Stands Out

  • High-ownership startup environment with immediate impact
  • Work at the frontier of applied AI, edge computing, and distributed systems
  • Exposure to real-world AI deployment challenges in demanding environments
  • Strong AI-native engineering culture
  • Opportunity to shape foundational platform capabilities

Our client is an equal opportunity employer committed to building an inclusive, merit-based organization and does not discriminate on any legally protected status.

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