Core Engineer - Software / Applied AI

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

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.

• 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

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

• 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

• 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

• 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

• 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.