2 days ago
Remote, United KingdomStaff+
Responsibilities
- Own solutions from discovery and architecture through implementation, testing, deployment, monitoring, and production support.
- Build production AI capabilities including model and service integration, retrieval and grounding, structured outputs, orchestration, guardrails, and fallback behavior.
- Deliver full-stack web experiences, APIs, services, and integrations across application, AI, and data layers.
- Create reusable components, templates, reference architectures, deployment patterns, and engineering standards.
- Implement automated software testing and repeatable evaluation of AI quality, reliability, latency, and failure modes.
- Instrument systems for tracing and observability, diagnose cross-system issues, and implement durable fixes.
- Embed authentication, authorization, secrets management, data protection, auditability, compliance, and lineage controls.
- Optimize cost, token consumption, model selection, retrieval, caching, latency, and infrastructure use.
- Partner with UI/UX and business stakeholders to improve user experience and workflow adoption.
- Provide technical leadership through design and code reviews, knowledge sharing, and specialist guidance.
Requirements
- Significant professional software engineering experience with ownership of production systems and technical decisions at Lead or Principal-caliber level.
- Hands-on experience delivering production AI-enabled products or application features for recurring business workflows.
- Strong full-stack capability with modern JavaScript/TypeScript, React or Next.js, API and service development, and enterprise data-platform integration.
- Strong backend experience with C#/.NET or a comparable enterprise stack, including distributed systems, asynchronous processing, and integration patterns.
- Deep experience with Azure or another major cloud platform, including secure networking, identity, secrets, serverless or containerized services, infrastructure as code, and production telemetry.
- Practical understanding of LLM application architecture, including model APIs, retrieval and grounding, prompt and context design, structured output, evaluation, monitoring, and failure handling.
- Ability to balance quality, user experience, latency, security, maintainability, and cost in technical decisions.
- Clear written and verbal communication with engineers, product partners, business stakeholders, and support teams.
- Preferred experience with Azure OpenAI, Azure AI, managed model services, Application Insights, OpenTelemetry, distributed tracing, AI observability or evaluation tooling, Snowflake, enterprise design systems, accessibility, user research, regulated environments, and Python.
Benefits
- People-focused culture emphasizing investment in employees, exceptional client results, and team growth.
Tech Stack
Categories
About Ascent
Ascent Global Logistics provides expedited, time-critical transportation and freight management for shippers, spanning domestic brokerage, international freight forwarding, and managed logistics. The company connects customers to a carrier network through its PEAK digital marketplace and also operates its own cargo airline (USA Jet Airlines) for on-demand air charters. Founded in 2017, Ascent is headquartered in Belleville, Michigan and is privately held by H.I.G. Capital.