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.
About Us Nanonets agents are built for complex business processes. Ranked #1 in understanding unstructured data and applying business rules in processes like accounts payable, order management, and supply chain.…
Build AI agents and LLM-driven features for NOS, the AI platform that powers next-gen nuclear reactor construction, including retrieval, evals, and time-series models.
Build AI features and agents for a nuclear-energy startup’s operating system, shipping models for site evaluation, scheduling, and anomaly detection used by reactor construction teams.
Build AI agents and LLM-driven workflows for a reactor-construction OS used by teams deploying next-gen nuclear plants, shipping models and features to production.
Build and deploy GenAI/NLP models for tax services, designing prompts, RAG workflows, and cloud APIs while ensuring responsible AI practices and robust evaluation.
Lead a team to design and deploy Generative AI and Agentic AI solutions using Python, NLP, and cloud platforms to solve complex business problems in BFSI.
Build and deploy generative AI applications using LLMs and multimodal models, integrating them into client systems via APIs and optimizing outputs with prompt engineering and RAG.
Build and deploy generative AI systems (LLMs, RAG, agentic workflows) for defense operations, integrating Azure OpenAI, LangChain, and vector databases to support U.S. COCOM missions.
Design and optimize ML pipelines, LLM serving, and GPU architectures for generative AI solutions using frameworks like PyTorch, Hugging Face, and vLLM.
Staff Research Engineer builds and deploys generative AI features, fine-tuning models and shipping production-grade software to solve real-world problems using Google’s latest GenAI tools.
Build and maintain secure, scalable AWS and Kubernetes platforms for AI workloads, including LLM inference, while automating CI/CD and ensuring SOC 2/HITRUST compliance.
Implement AI-specific security controls and guardrails for LLMs and AI systems, assess threats like prompt injection, and embed security into AI development pipelines at DHL.
Build and deploy generative AI models to detect healthcare payment integrity issues, reduce costs, and improve outcomes using LLMs, vector DBs, and cloud ML platforms.
Design and deploy AI models (transformers, graph-based, agents) to detect fraud in blockchain data, safeguarding OKX’s exchange and users from scams and abuse.
Build and deploy AI models to improve vehicle search, content generation, and SEO/GEO for an automotive-focused platform, using NLP, LLMs, and ranking systems.
Senior ML Engineer builds and deploys ranking, semantic-search, and recommender systems using LLMs and vector databases to deliver personalized financial insights for global professionals.
Design and build production-grade AI systems, including LLM-based and agentic applications, using Python and modern orchestration frameworks while leading end-to-end delivery for Adobe’s conversational AI solutions.
Design and lead AI-driven platforms using LLMs and MLOps, ensuring scalable, secure systems aligned with business goals and ethical standards.
Designs and advises on scalable AI/ML cloud solutions for enterprise customers, focusing on distributed training and production deployments using PyTorch, Kubernetes, and related tooling.
Builds and deploys enterprise AI solutions using LLMs and Python, integrating them with Microsoft 365 and cloud platforms while following secure coding practices.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
