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Build full-stack B2B SaaS applications and an internal platform using Python, TypeScript, React, and AWS, with a focus on AI-driven workflows and scalable systems.
Build and evaluate ML systems using AI coding agents like Cursor or Claude Code, reviewing model-generated implementations for bugs and performance in production ML/AI workflows.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Lead the design, development, and deployment of ML models to automate healthcare operations, ensuring measurable impact on workflow efficiency and patient care.
Lead a team to deploy and monitor AI models at scale using AWS services, ensuring reliability and performance while mentoring engineers and collaborating with researchers.
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
About the role As a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI.…
Senior software engineer building AI-integrated, cloud-native cybersecurity tools for a defense contractor, focusing on containerized deployments and NLP-driven threat analysis.
Build and deploy ML models, data pipelines, and dashboards to drive R&D insights using Python, SQL, and cloud tools like AWS/Azure.
Build and deploy ML models for real-time pricing and market-making in sports betting, using Python and distributed systems to drive trading performance and insights.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build and deploy ML pricing models for car and van insurance using Python, SQL, and geospatial data to improve claims prediction and commercial decisions.
Senior engineer building AI-assisted software workflows, reviewing AI-generated code, and translating business specs into testable requirements using C#, .NET, and PostgreSQL.
Build and scale foundational ML systems for global money movement, fraud detection, and customer-facing features using Python, PyTorch, and cloud platforms.
Role Overview: We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be…
Build and deploy machine-learning models to improve customer acquisition, retention, and marketing at a telecom provider, using Python, SQL, and cloud platforms.
Design and deploy AI/ML systems to improve engineering productivity, firmware workflows, and product development at a semiconductor company.
Lead AI product engineering for a healthcare insurer, building and shipping LLM-powered apps, agents, and RAG systems that integrate into claims, payments, and member workflows.
Build scalable MLOps/GenAIOps systems to deploy and manage AI models for talent evaluation at Amazon, using LLMs, RAG, and distributed ML pipelines.
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