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.
Design and deliver AI/GenAI solutions (LLMs, RAG, agents) for clients as an AI Solutions Architect, combining hands-on architecture with pre-sales activities on cloud platforms like AWS, Azure, and GCP.
Вам предстоит: Генеративный ИИ и LLM-решения · Разрабатывать корпоративных AI-ассистентов, чат-ботов, copilot-сервисы и интеллектуальные интерфейсы для сотрудников и клиентов. · Интегрировать внешние LLM через API:…
Builds and deploys AI agents and digital workers using LLMs, RAG, and enterprise tools to automate workflows and improve productivity in real-world business environments.
The Staff Software Engineer – Chapter Lead will lead a team of senior engineers to build and scale production-grade Generative AI solutions, including RAG and agentic workflows, within a financial services environment. This hands-on role focuses on driving the AI technology roadmap, establishing MLOps standards, and ensuring the reliability and security of AI systems.
A Staff Software Engineer leads the design and delivery of secure, scalable .NET full-stack banking platforms on AWS, shaping digital customer experiences. Core work includes cloud-native architecture, DevSecOps, observability, and mentoring teams while integrating AI/GenAI tools to accelerate innovation.
Principal Software Engineer at Bankwest architecting and building AI-powered customer support platforms end-to-end using .NET, React/Next.js, and multi-cloud (AWS/Azure), driving the shift from NLU chatbots to agentic AI systems.
Staff-level IC building AI-powered analytics tools—RAG pipelines, LLM-assisted querying, AI agents, and applied ML models—using Python and SQL to automate analytics workflows at Pure Storage's Bangalore office.
This role involves building internal AI-enabled tools and workflows to automate and scale game content production. The engineer will own full-stack development, including backend services, APIs, and human-in-the-loop review systems using TypeScript, Node.js, and modern AI frameworks.
Design and lead AI-driven platforms, selecting frameworks like PyTorch and deploying models via MLOps pipelines to solve business challenges at scale.
The AI Engineer will design, develop, and deploy intelligent systems, focusing on machine learning, deep learning, and generative AI models. The role involves building scalable AI pipelines, implementing agentic platforms, and ensuring model performance and compliance within the healthcare domain using AWS technologies.
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
Design, develop, and deploy GenAI and agentic workflows across the HR hire-to-retire lifecycle at Revvity, building full-stack applications that integrate LLMs and RAG pipelines with enterprise HR systems like Workday.
The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
The Generative AI Developer will build and integrate agentic, retrieval-grounded AI applications using pre-trained foundation models and frameworks like LangChain and LlamaIndex. The role focuses on prompt engineering, RAG system development, and deploying AI workflows within a financial services environment.
Software engineer at BP in Pune building and deploying production software systems and Generative AI solutions (LLMs, RAG, vector databases, LangChain) within cross-functional teams.
Solution Architect designing AI/ML solutions for enterprise clients, with hands-on engineering in Python, cloud infrastructure (Kubernetes, Docker, Terraform), and modern AI ecosystems (LangChain, Hugging Face, vector databases).
Presales AI Solutions Engineer guiding enterprise clients through AI transformation by showcasing Xinference and Xagent platforms, leading POCs, and designing secure cloud/hybrid architectures.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
We couldn't check your fit for this role — add a CV to your profile to see it next time.