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Design, generate, evaluate, and improve LLM training data (instruction, preference, reasoning, domain-specific) and build automated synthetic data generation pipelines using Python and LLMs.
DevOps Engineer designing, building, and operating scalable AI platforms using Terraform, Kubernetes, Docker, and CI/CD pipelines across Azure and AWS, with a focus on MLOps and GenAI workloads.
Builds and deploys enterprise-grade generative AI applications end-to-end, combining LLMs, RAG pipelines, and full-stack tech (Python backend + React/Next.js frontend) for scalable, production-ready solutions.
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive…
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our…
Builds and maintains the AI agent harness layer that turns raw LLMs into reliable, long-horizon autonomous workers, using TypeScript, Go, and Kubernetes across cloud providers.
Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
The Technical Program Manager will oversee manufacturing test programs for AI hardware, managing the lifecycle from new product introduction (NPI) to high-volume production. This role coordinates cross-functional engineering teams and manufacturing partners to ensure test readiness, schedule adherence, and quality control.
Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
Overview NV5 is a leading provider of tech-enabled engineering, testing, inspection, and consulting solutions for the built environment. We specialize in engineering design, asset management, and geospatial data…
Koniag IT Systems, LLC a Koniag Government Services company, is seeking an AI Integration Engineer to support KITS and our government customer Washington, DC. The position is hybrid, requires 1 day onsite. This…
Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
About the Team Platform Partnerships builds and grows the relationships that extend OpenAI products through the world’s most important technology platforms. The team works across Product, Engineering, Research,…
The Azure Practice Architect II leads enterprise-level cloud and AI initiatives, designing scalable Azure infrastructure and integrating AI/ML solutions into DevOps pipelines. This remote role involves 80% delivery support and 20% sales engineering, requiring deep expertise in Azure services, MLOps, and client-facing consulting.
Designs and builds scalable data pipelines and shared data products using BigQuery, dbt, and Python to power Wpromote’s marketing analytics platform, improving standardization and reliability across client solutions.
About the job Requirements (Must Have) Minimum 5 years of software development experience that is related to Games development Proficient in TypeScript, with strong hands-on experience across both frontend and backend…
The Applied AI Engineer will build and deploy end-to-end AI features by integrating machine learning models into production systems. The role involves optimizing model performance, designing agent workflows, and ensuring reliability using technologies like Python, PyTorch, JAX, and LLMs.
Build end-to-end AI-native product features using Next.js, Python, and Node.js, designing agent workflows that integrate LLMs, memory, and external tools into reliable, production-grade systems.
Backend Engineer building and operating the AI inference and orchestration layer that connects LLMs to end users, focusing on latency, reliability, and production operations using Python, Node.js, Kubernetes, and Docker.
Senior Full Stack Engineer acting as Second-in-Command to the Tech Lead, building and maintaining regulatory application processing systems with backend APIs, cloud infrastructure, and React-based frontends.
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