Edgescale AI ยท 10 hours ago
Core Engineer - Software / Applied AI (Multiple Levels)
Denver, CO
Full-time
Onsite
Senior Level, Lead/Staff
$130K/yr - $155K/yr
6+ years expEdgescale AI is deploying AI in the real world to help customers unlock transformative productivity gains. They are seeking a Core Engineer focused on Software / Applied AI to build scalable and reliable production AI capabilities for their edge platform.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Build and operate production AI capabilities including agentic and multi-agent workflows, tool calling, orchestration, and repeatable patterns that scale
Design and implement evaluation, monitoring, and quality systems that make AI behavior measurable, reliable, continuously improving, and safe in production
Build platform capabilities for private AI, including auto fine-tuning workflows, model/runtime optimization, and performance improvements for inference under real constraints
Implement safety and operational controls so AI behavior is bounded and production-ready, including policy constraints, approval workflows, auditability, and rollback mechanisms
Develop pragmatic interfaces and APIs that make AI capabilities easy to integrate across platform services and customer environments
Improve developer velocity through automation and tooling, using AI tools to accelerate implementation, tests, documentation, and iteration loops, then refining with engineering judgment
Partner with data and infrastructure teams to ensure the right context reaches inference and agent workflows with predictable latency, reliability, and cost
For senior roles: mentor engineers, review designs, and raise the technical bar across the organization
Qualification
Required
6+ years building and operating production software systems
Strong fundamentals in distributed systems, performance, and reliability; comfort owning production services end-to-end (e.g., Docker/Kubernetes deployments, APIs via REST/gRPC, and strong production discipline around rollout and rollback)
Experience building evaluation frameworks, monitoring, and safety/guardrail systems that enable controlled AI behavior in production (e.g., automated eval harnesses, drift/quality monitoring, tracing, and structured telemetry)
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or TypeScript/Go, FastAPI-style services, and effective testing practices)
Comfort working in ambiguity and making sound trade-offs under real constraints (latency, cost, GPU utilization, and reliability)
Clear communicator and strong collaborator across engineering and commercial teams
Ownership mindset: outcomes over tasks
Preferred
Experience shipping AI-enabled platforms or agentic systems is strongly preferred
Production experience building agentic and multi-agent systems, orchestration layers, and evaluation frameworks with clear reliability goals (e.g., tool calling, workflow orchestration, and evaluation loops that are measurable and repeatable)
Experience designing repeatable AI structures (tool calling, memory/state patterns, policy constraints, safety/guardrails) that can be reused across applications and deployed through stable APIs
Building fine-tuning workflows and runtime optimization systems for private AI deployments, including performance and cost trade-offs (e.g., inference optimization, batching/caching, GPU efficiency, and vLLM-style serving)
Experience building monitoring and quality systems for AI behavior that enable measurable improvement over time and safe rollback (e.g., offline/online evaluation, tracing, structured logs, metrics, and incident-driven iteration)
Strong systems instincts across data, infrastructure, and security constraints that impact AI in production (e.g., event/data systems like Kafka, operational stores like Postgres/time-series databases, and secure deployment patterns)
Benefits
Health, dental, and vision coverage
A 401(k) with company match
Flexible PTO
Paid parental leave
Commuter benefits
Relocation and visa support
Company
Edgescale AI
Connecting AI to physical systems is hard. Scaling it to operations-grade is harder. ๐๐ฆ ๐ฆ๐ญ๐ช๐ฎ๐ช๐ฏ๐ข๐ต๐ฆ ๐ต๐ฉ๐ฆ ๐ด๐ต๐ณ๐ถ๐จ๐จ๐ญ๐ฆ.
2-10 employees
H1B Sponsorship
Edgescale AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (4)
Funding
Current Stage
Early StageTotal Funding
unknownKey Investors
Alumni Ventures
2024-01-19Seed
Company data provided by crunchbase