Staff Machine Learning Engineer - Generative AI & Full-Stack ApplicationsSwiftCruit • Springfield, Missouri, United States

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Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

SwiftCruit

Springfield, Missouri, United States

Springfield, Missouri, United States

Apply Now

About

This senior individual‑contributor role is part of our Solutions Engineering and Infrastructure organization, focused on building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI‑powered platforms and solutions at Fortune 5 scale. Key Responsibilities Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics. Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations. Develop prototypes rapidly and validate them through evaluation, red‑team testing, and user feedback; document tradeoffs and recommendations. Build production‑grade services and full‑stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns. Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy‑based filtering). Instrument solutions end‑to‑end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks. Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments). Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency. Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model‑backed services. Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement. Participate in design reviews and code reviews; mentor senior and mid‑level engineers on GenAI engineering practices. Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption. Required Qualifications 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services. 3+ years of experience applying ML/AI in production; demonstrated hands‑on GenAI delivery (LLMs, RAG, evaluation, and safety controls). 3+ years delivering solutions in high‑scale, high‑availability environments with strong security and compliance requirements. Preferred Qualifications Strong full‑stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security. Hands‑on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails. Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks. Working knowledge of containerization and Kubernetes, CI/CD, infrastructure‑as‑code concepts, and production observability. Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans. Education Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience). Compensation Typical pay range: $106,605.00 – $284,280.00. The actual base salary offer will depend on experience, education, geography, and other factors. Benefits This full‑time position is eligible for a comprehensive benefits package that includes medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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Springfield, Missouri, United States

Languages

English

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