A full-stack Python and React engineer will build and maintain features for a Threat Ops security platform, including migrating legacy forms, integrating AI assistants via the MCP standard, and replacing a Slack-based defect workflow with a Jira-backed templated reporter. The role requires shipping customer-facing improvements independently on well-scoped tickets, debugging and deploying services, and participating in code reviews within an existing team's roadmap.
Senior Software Engineer responsible for designing and communicating architectural decisions across technical and non-technical teams at a healthcare technology company. Will reduce technical debt, improve developer experience, provide code and design reviews, and mentor engineers in AI-enabled development practices.… Requires 8+ years of software engineering experience with strong fundamentals in production systems, APIs, distributed systems, cloud-native applications, CI/CD, and observability. Should demonstrate leadership in technical initiatives, influence without formal authority, and hands-on proficiency with AI-assisted development tools while maintaining code quality accountability.
Associate Software Engineer at Resmed will design, build, test, and deploy cloud-native applications and services that solve real healthcare customer problems. The role emphasizes modern software engineering practices, APIs, testing, and version control, with hands-on experience across the full development lifecycle from idea to production.… You'll use AI-assisted development tools and coding agents to support development and learning, and participate in code reviews, automated testing, CI/CD, and incident response. The position requires 2+ years of software development experience, strong programming fundamentals in a modern language, and genuine curiosity about how emerging AI-enabled engineering workflows can improve software development.
Build and scale evaluation tooling to measure how well AI-powered software development tools perform. Develop evaluation harnesses, automate benchmark runs, and ensure reproducibility through versioned processes with pinned dependencies and containerized environments.… Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering teams to improve automation workflows. This role requires strong software engineering foundations in automation and testing, hands-on experience with AI coding agents, and proficiency in Python, Java, or JavaScript.
Design, build, test, and operate production ML and LLM-powered components for cybersecurity applications at scale. You will turn ambiguous requirements into working code, partner across product and security teams, and apply AI safety and guardrail practices.… The role requires solid software engineering fundamentals, hands-on experience building production ML/LLM applications (RAG, embeddings, agents), and the ability to take prototypes to reliable, maintainable systems. You'll work with distributed systems, cloud-native technologies, and graph/data plumbing while contributing to code reviews and raising team quality standards.
Lead end-to-end automation testing for web and mobile applications using Java, Selenium, Playwright, and TestNG, with specialized expertise in AI/LLM model evaluation and Generative AI testing. Design and maintain robust automation frameworks for regression, functional, and integration testing while creating comprehensive test plans for both traditional software and AI-based applications.… Evaluate LLM outputs against expected behavior, validate prompt/response quality, and document model-quality findings. Collaborate with developers, product owners, and stakeholders using Shift-Left Testing practices and Agile methodologies, leveraging AI-powered tools like GitHub Copilot and ChatGPT to enhance testing efficiency.
Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.… Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.
Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.… The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.
Build and scale evaluation harnesses and automation for AI-powered software development tools, turning real engineering artifacts into repeatable benchmark tasks. Develop versioned, reproducible processes with containerized environments to measure AI tool performance across quality, productivity, and efficiency metrics.… Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering and data teams to improve tooling and document findings.
Build practical generative AI applications as a Python backend engineer, combining LLMs, RAG, and agentic AI systems. You'll develop FastAPI/Flask services, integrate LangChain/LangGraph workflows, manage vector databases, and deploy on AWS.… The role requires hands-on Python backend skills, prompt engineering, API design, and the ability to debug and own full-stack AI-powered services from development through testing and deployment.
As a Software Architect, you will design AI-first software development lifecycles and lead teams in building GenAI-integrated platforms. You'll architect solutions using prompt engineering, RAG, embeddings, and agentic AI while managing multi-developer environments where AI agents and engineers collaborate.… You'll own product architecture, prototype AI-driven solutions with modern DevOps and observability, and coach teams on AI-accelerated development practices. The role requires 6+ years of production software experience, hands-on use of agentic IDEs, proven GenAI integration delivery, and strong architecture expertise across APIs, microservices, cloud platforms, and CI/CD.
Build high-quality, scalable AI-powered developer products at ServiceNow using Java, TypeScript/NodeJS, and React. You'll partner with product teams to design and implement customer-facing features, own code from design through delivery, and apply AI integration to developer workflows.… The role emphasizes clean architecture, best practices (code review, unit testing), and reusable component design in a DevX-focused context.
Founding Product Engineer at a safety/operations software company building AI-powered dashboards, compliance analytics, and agentic features across edge and cloud infrastructure. You'll own full-stack problems end-to-end—from AWS/container infrastructure and backend services (Go, Python, Java) through real-time frontends (TypeScript/JavaScript) to direct customer deployment and iteration.… Expected to ship fast, work across infrastructure, product, and AI agent layers, and demonstrate genuine range across the stack with 7+ years of software engineering experience.
Founding Product Engineer to build a greenfield Physical AI product for fleet safety and operations. The role spans full-stack development across cloud infrastructure (AWS, containers, CI/CD), multi-tenant backend systems with RBAC and SSO, real-time dashboards, compliance analytics, and AI-agentic features for alert triage and coaching workflows.… You'll own end-to-end problems from edge devices to cloud to user experience, shipping fast with direct customer feedback, and working across backend (Go, Python, Java), frontend (TypeScript/JavaScript), infrastructure, and AI integration. Requires 7+ years of software engineering with demonstrated range across multiple technical disciplines.
Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.… Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.
Director-level role leading a software engineering team at a life sciences company building multi-omic analysis platforms. Requires hands-on full-stack expertise (React, Go, AWS, Temporal) alongside team management, architecture ownership, and end-to-end product delivery.… Must drive regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820), design controls, and V&V documentation while prototyping with AI tools and scaling agentic workflows within the team.
Director of Software Engineering leading end-to-end delivery across customer-facing products and internal tooling at a life-sciences company. This role combines hands-on full-stack development (React, Go, AWS, Temporal) with team leadership, architecture ownership, and regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820).… Candidates should have 10+ years of software engineering with 3+ years managing teams, fluency with modern AI coding assistants, and experience shipping instrumentation, cloud SaaS, and ML/AI features.
Build and test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).… Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.
This is a high-ownership QA role at an early-stage AI validation startup where you'll design and build testing strategy, test infrastructure, and quality processes from the ground up. You'll perform manual and automated testing of CLI tools, web dashboards, and integrations with AI coding assistants (Claude, Cursor, GitHub Copilot, etc.), validate scan accuracy, and own bug triage across multiple operating systems and language ecosystems.… You'll work directly with founders and engineering to build testability into the product and define QA processes as the team scales, with responsibilities spanning test case design, automated regression/integration/end-to-end testing, and release sign-off.
Join Gadriel AI as an AI Developer to design, build, and ship features across their AI code validation platform end-to-end. You'll work primarily with modern AI coding assistants (Claude, Cursor, Windsurf) as your development environment, build integrations with AI tools and CLIs, contribute to backend services and validation logic, and participate in architecture decisions at an early-stage startup.… The role requires strong full-stack engineering fundamentals across TypeScript/JavaScript and Python, real hands-on experience with AI coding assistants, CLI and developer tooling experience, and familiarity with security concepts like SAST and SCA. You'll move fast, iterate on user feedback, and help shape product direction in a high-autonomy, founder-led environment.
A junior data engineer will contribute to data pipeline development across AWS, Azure, Salesforce, and MuleSoft, learning the full engineering lifecycle with guidance. Core responsibilities include building and maintaining data pipelines, implementing Kimball-based data models, writing Python orchestration and data-quality scripts, and supporting Power BI analytics.… The role emphasizes AI-assisted development using Claude Code, Cursor, and GitHub Copilot, with requirements for 0–2 years of experience, 6+ months of Python, intermediate SQL, at least one end-to-end pipeline project, and Power BI/Tableau dashboard experience.
Senior AI Subject Matter Expert responsible for developing intelligent data processing and NLP pipelines, AI-enabled dashboards, and proofs-of-concept for AI use cases. The role requires 7+ years of professional experience with advanced expertise in LLM APIs, RAG architectures, agent-based development, generative AI coding tools, and secure AI deployment patterns.… Responsibilities include prototyping emerging AI developer tooling, mentoring engineering teams on generative AI workflows, and identifying software lifecycle areas that can be accelerated through AI and automation. The candidate must critically evaluate AI-generated code for correctness and security, understand AI-specific security risks across the full SDLC, and scope requirements for engineering solutions that meet business challenges with measurable outcomes.
Lead the design and deployment of AI-powered marketing automation workflows, predictive analytics frameworks, and performance dashboards across Intuit's marketing organization. Build production-grade automation infrastructure on cloud platforms (GCP/AWS/Azure) that integrates AI tools into the marketing tech stack, operationalizes customer segmentation models, and scales intelligent automation globally.… Develop dashboards, attribution models, and automated reporting pipelines that quantify adoption, cost savings, and performance lift. Partner cross-functionally with product, engineering, data science, and marketing teams to architect, validate, and transition high-impact AI pilots into enterprise capabilities.
Staff Program Manager leading operational excellence for Intuit's Tech Learning organization. Owns vendor relationships (O'Reilly, Udemy), budget tracking, contract management, and ROI analysis while designing and maintaining the team's operating cadence, planning infrastructure, and leadership reporting rituals.… Builds dashboards translating training data into decision-ready insights and leads readiness workstreams for program launches and platform migrations. Requires 5+ years in program/vendor/procurement management, proficiency with AI tools (Claude, ChatGPT, Gemini, Cursor) for daily workflows, strong organizational skills, and experience with Jira and Google Suite.
Build and enhance features across a full-stack accounting platform using Angular, C#/.NET, and SQL Server. Design performant, scalable solutions from front-end SPAs to back-end services and distributed messaging systems; troubleshoot production issues; and collaborate with product, analysts, and engineers throughout the Agile delivery lifecycle.… Strong fundamentals in .NET, JavaScript/TypeScript, SQL Server, RabbitMQ, and CI/CD tooling required; experience with financial domain applications (accounting, payments, deposits) preferred.