Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain AI/ML systems for robotics, including training evaluation pipelines, model fine-tuning, deploying algorithms in simulation and on physical hardware, and integrating robotic control and perception stacks.
This position is for a Microsoft SQL database developer ; with good database skills and some C# .NET knowledge. As a SQL Developer you will also have experience of the full project life cycle. You should have strong…
Design, develop, and deploy NLP/LLM-based production systems using Python, PyTorch, and frameworks like LangChain for Hudhud's geospatial and location-intelligence platforms.
Developer Relations Engineer at Nscale builds and scales programs to engage developers with Nscale’s AI infrastructure platform, focusing on content creation, community growth, and feedback loops to drive adoption of AI workloads.
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global…
Quantitative Analyst acting as the founder's analytical partner, using SQL and AI tooling to build cross-functional data models, run ad-hoc deep dives, and translate data into commercial recommendations for a shipping/logistics SaaS platform.
Staff engineer defines the AI platform’s architecture, APIs, and standards that multiple teams rely on to build and scale GenAI services reliably and efficiently.
Leads AI-driven development of insurance products by designing agentic AI systems, optimizing LLM inference, and delivering full-stack features.
Lead and build the global Developer Relations function for Nscale's AI infrastructure platform—creating technical content, driving developer adoption, representing the company at events, and scaling the DevRel team from the ground up.
DevOps AI Platform Engineer designing, developing, and maintaining enterprise GenAI solutions (RAG, agentic workflows, conversational AI) on Azure, with CI/CD, LLMOps, and L3 support responsibilities using Python/TypeScript.
Lead model strategy for generative and multimodal vision systems at a location data platform, owning end-to-end workflows for training, fine-tuning, benchmarking and deploying computer vision models using Python and PyTorch.
Intern builds and tests AI components for healthcare informatics, using LLM APIs, orchestration frameworks, and data pipelines to improve treatment, payment, and operations.
Lead Software Engineer on a full-stack team at PowerSchool (K-12 edtech), designing and developing products using TypeScript, Java, C#, or Python while leveraging AI-assisted tools across the entire software development lifecycle.
Security Engineer implementing and improving enterprise security technologies at RWS, focusing on security tooling, automation, cloud/infrastructure security, DevSecOps support, and vulnerability remediation.
Designs and deploys AI agents in Python to automate workflows and decisions, integrating with internal systems and third-party models while measuring business impact in a fast-paced trading environment.
Develops AI/ML models (text/image processing) for clinical research using AWS SageMaker; collaborates with cross-functional teams to deploy models for trial acceleration and healthcare insights.
Builds and deploys predictive/prescriptive ML models for procurement, manufacturing, and sales at a global snacks producer, integrating AI into agentic workflows and bridging technical rigor with business decision-making.
Lead enterprise-scale GenAI implementations for Fortune 500 clients, designing and building production-grade LLM, RAG, and agent-based systems using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain.
Leads AI/ML projects from ideation to production, specializing in LLM/Agentic AI development, cloud-based model deployment, and MLOps best practices for fintech applications.
Lead AI Engineer architecting and delivering end-to-end AI solutions—classical ML, deep learning, LLMs, multimodal systems, and MLOps—while mentoring a team of AI/ML engineers, based in Pune.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
