Jobs in the United States

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Technical Leader - Steam Turbine Operability Engineer
GE Gas Turbines (Greenville) L.L.C.
Remote, United States
This role is focused on Steam Turbine Operability within combined cycle power plant applications and will be a member of the ST Operability team of ST Systems Engineering.
Added 1 min ago
Data Centre Service Delivery Field Support Engineer (L1)
NTT America, Inc.
NE
…articles.Responds to and diagnoses all alerts, escalate to L2 Field Engineer when unable to resolve within the stipulated time.Ensures incidents are updated with progress and resolution…
Added 1 min ago
Data Centre Service Delivery Field Support Engineer (L1)
NTT America, Inc.
NE
The Data Center Service Delivery Field Support Engineer (L1) is an entry level engineering role, responsible for providing a professional first-line onsite technical support and field…
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Data Centre Field Support Engineer (L1)
NTT America, Inc.
TX
The Data Center Service Delivery Field Support Engineer (L1) is an entry level engineering role, responsible for providing a professional first-line onsite technical support and field…
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Integration Engineer SME
Insight Global
Linthicum Heights, MD
- From $80 USD / hour
Experience with systems engineering principles and activities including Model-Based Systems Engineering
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Ford Racing Thermal Systems Engineer
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Allen Park, MI · Allen Park
The Ford Racing Thermal Systems Engineer will own the thermal responsibilities across mutable Ford Racing production vehicle platforms. This role will collaborate across disciplines to…
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Quality Engineer, Ford Energy
Ford
Glendale, KY · Glendale
…manufacturing excellence and world-class battery energy storage systems (BESS) technology, Ford Energy designs, manufactures, and services grid-scale and commercial DC battery energy…
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Security Incident Response Engineer
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The engineer leverages enterprise security technologies including EDR, SIEM, cloud security platforms, email security solutions, threat intelligence, and security automation tooling to…
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Senior Electrical Hardware Design Engineer
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Aviation Maintenance Engineer
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…companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating…
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Manufacturing Engineer
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Knowledge of applied mechanics, materials engineering, mechanical systems, design review and optimization, prototyping, and mechanical troubleshooting.
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- $110,000 to $135,000 USD / year
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or Computer Science with substantial embedded systems coursework, lab, or internship experience; other…
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Site Reliability Engineer - OCI (Feb 2027 Start Date)
Oracle
Nashville, TN
To be considered for a SRE position in OCI, you must possess the Objective Minimum Qualifications (OMQs) below
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IT Engineer
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- $104,000 to $194,000 USD / year
4–6 years of experience in IT support, systems administration, or IT engineering, including at least 2 years beyond tier-one help desk.
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Mechanical Support
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- $38.46 to $54.8 USD / hour
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- $152,000 to $261,000 USD / year
Develop feature engineering workflows used by AI models and detection systems.
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Principal Product Engineer
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United States
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Staff/Principal Software Engineer (US Remote)
Synthetic
Remote, United States
- $250,000 to $300,000 USD / year
We have a high engineering bar and care a lot about systems design and code quality.
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Staff/Principal Software Engineer
Synthetic
San Francisco, CA
- $300,000 to $350,000 USD / year
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Signal and Communication Engineer III
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Chief Financial Officer
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Engineering Manager, Object Storage Control Plane
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Data Analytics Engineer
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Technical Account Manager
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Tier 1 (Service Desk), Tier 2 Support and Tier 3 Engineering Staffing & Service delivery

Bask Health

Software Engineer, AI Quality & Evaluation

Remote, United States

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Job details

Experience: 3+ years of professional software engineering experience, preferably in backend, platform, infrastructure, or developer tooling roles.
Posting language: English
Posted: Nov 12, 2026

Original job description

About Bask Health Bask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses. Our platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place. We're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform. Engineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality. About the Role We're looking for a Software Engineer, AI Quality & Evaluation to build the engineering systems that help Bask Health test, evaluate, and improve AI-powered applications throughout their development and production lifecycles. Bask Health supports direct-to-consumer telehealth businesses through a platform that connects patient experiences, merchant operations, clinical workflows, pharmacy coordination, and commerce tools. As we introduce more AI-powered capabilities across these areas, we need reliable software infrastructure that makes it easy for engineering teams to understand how those systems behave. You'll help develop the internal tools, backend services, testing frameworks, and automation that support AI quality assurance across the platform. This is a hands-on software engineering role focused on building reusable systems rather than evaluating individual models in isolation. You'll work with APIs, databases, automated testing infrastructure, model integrations, and developer tools to make AI evaluation more efficient, consistent, and accessible. Your work may include evaluation execution services, test dataset management tools, automated regression pipelines, result comparison systems, and interfaces that help engineers investigate AI failures. You'll collaborate with applied AI engineers, machine learning engineers, AI evaluation specialists, and backend engineers to understand their testing needs and translate those requirements into dependable software capabilities. You'll also help integrate AI evaluation into normal engineering workflows. This includes making it easier to run tests during development, compare model or prompt changes, inspect failures, and identify regressions before production releases. Because Bask operates in healthcare-related environments, you'll help ensure evaluation systems handle sensitive information appropriately, respect access permissions, and support testing for privacy, safety, and approved operational boundaries. This position emphasizes strong software engineering fundamentals, developer experience, and production reliability. You'll contribute to technical architecture, write maintainable code, improve infrastructure performance, and own services that other engineering teams rely on. We're looking for an engineer who enjoys building tools for other developers, understands the challenges of testing nondeterministic AI systems, and wants to create reliable infrastructure that improves software quality across the organization. What You'll Do

Design, build, and maintain software infrastructure that supports AI quality and evaluation across Bask Health.
Develop backend services that execute and manage automated AI evaluations.
Build reusable testing tools for large language model applications.
Create APIs that allow engineering teams to submit evaluation jobs and retrieve results.
Develop systems for managing evaluation datasets, test cases, and expected outcomes.
Build automated workflows for comparing prompts, models, and application configurations.
Implement regression testing infrastructure for AI-powered features.
Integrate AI evaluation checks into continuous integration and deployment pipelines.
Develop services that record and organize evaluation results over time.
Build tools that help engineers inspect AI responses, failures, and test histories.
Implement structured result storage and comparison capabilities.
Develop internal dashboards or interfaces for reviewing evaluation outcomes.
Create reusable software libraries that simplify AI testing across multiple applications.
Build systems that support both deterministic checks and model-based evaluations.
Implement automated testing for tool-calling behavior and structured model outputs.
Develop infrastructure for evaluating retrieval-augmented generation applications.
Build asynchronous processing systems for large evaluation workloads.
Implement job scheduling, retries, timeouts, and error handling for evaluation services.
Develop monitoring and logging for evaluation infrastructure.
Optimize evaluation execution speed, reliability, and infrastructure costs.
Work with AI evaluation engineers to translate testing requirements into reusable software tools.
Collaborate with machine learning engineers to support model and prompt comparison workflows.
Implement appropriate access controls and secure handling of evaluation data.
Ensure evaluation infrastructure respects tenant boundaries and data privacy requirements.
Investigate infrastructure failures and resolve issues affecting evaluation reliability.
Improve developer documentation and internal tooling for AI testing.
Participate in code reviews, technical planning, and architecture discussions.
Own assigned AI quality engineering projects from design through deployment, monitoring, and continuous improvement.

Requirements

3+ years of professional software engineering experience, preferably in backend, platform, infrastructure, or developer tooling roles.
Experience building and maintaining production backend services.
Strong programming skills in TypeScript, JavaScript, Python, or comparable languages.
Experience designing and developing APIs and service integrations.
Familiarity with automated testing frameworks and software quality practices.
Understanding of continuous integration and deployment workflows.
Experience building reusable software components or internal engineering tools.
Familiarity with large language models and modern AI application development.
Understanding of the challenges involved in testing nondeterministic AI systems.
Experience working with relational databases and structured application data.
Familiarity with asynchronous processing and background job systems.
Understanding of distributed systems fundamentals and service reliability.
Experience developing automated testing pipelines.
Familiarity with cloud-based application deployment.
Understanding of authentication, authorization, and secure service communication.
Experience implementing logging, monitoring, and production diagnostics.
Ability to troubleshoot backend services and infrastructure issues.
Familiarity with configuration management and software release processes.
Experience writing maintainable, well-tested production code.
Understanding of API error handling, retries, and failure recovery.
Experience working with Git and collaborative engineering workflows.
Ability to translate technical requirements into reusable engineering systems.
Strong analytical thinking and problem-solving skills.
Ability to collaborate effectively with software engineers, AI engineers, and machine learning specialists.
Ability to independently own engineering projects from technical design through deployment.

Nice to Have

Experience building infrastructure for AI evaluation or machine learning testing.
Familiarity with OpenAI, Anthropic, or comparable model APIs.
Experience with LangSmith, DeepEval, Ragas, promptfoo, or comparable evaluation tools.
Familiarity with LLM-as-a-judge evaluation approaches.
Experience building evaluation execution services or automated benchmark systems.
Familiarity with AI regression testing and prompt comparison workflows.
Experience developing internal developer platforms or SDKs.
Experience building testing infrastructure for distributed applications.
Familiarity with TypeScript and Node.js backend development.
Experience with React or Next.js for internal tooling interfaces.
Familiarity with tRPC, Prisma, Drizzle, or comparable development tools.
Experience working with AWS Lambda, SQS, EventBridge, or related cloud services.
Familiarity with serverless infrastructure and infrastructure-as-code tools.
Experience with SST or comparable application deployment frameworks.
Experience building scalable asynchronous job processing systems.
Familiarity with embeddings, vector databases, and retrieval-augmented generation.
Experience implementing model observability or AI request tracing.
Understanding of multi-tenant SaaS architecture and data isolation.
Familiarity with HIPAA and healthcare data privacy considerations.
Experience using AI-assisted development tools such as Cursor or Claude Code.

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Jobs in the United States