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Senior Python developer building autonomous AI agents for logistics optimization using LangChain, CrewAI, and vector databases like Pinecone.
Build autonomous AI agents for logistics optimization using Python, LangChain, and vector databases to automate complex workflows and decision-making.
Build LLM-powered apps using LangChain and OpenAI, develop FastAPI backends, and write clean Python code in a collaborative team.
Builds AI-driven automation workflows and APIs using Python, Azure AI tools, and low-code platforms for a legal-services firm.
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Build and deploy AI agents and automation workflows in Python using frameworks like LangChain and OpenAI Agents SDK to streamline healthcare operations while ensuring HIPAA compliance.
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals,…
Мы запускаем стратегический проект по развитию технологий на базе GigaChat для помощи розничным клиентам в принятии финансовых решений. В рамках этой инициативы мы создаем команду для разработки интеллектуального…
Design and build enterprise-scale Generative AI systems using LLMs, RAG, and vector databases; lead cross-functional teams to deploy models like GPT-4 and Llama3 on AWS/Azure.
Lead a team building AI-driven financial software using Java/Python, integrating LLMs and agentic workflows while ensuring secure, scalable production systems.
Lead a team building and deploying enterprise-scale ML pipelines and data platforms for JPMorgan Chase, using AWS, PySpark, TensorFlow, and responsible AI practices.
Design and deploy production-grade AI systems for clients, owning end-to-end architectures, prototypes, and technical standards while guiding engineering teams and advising on LLM stacks and cloud platforms.
Build and deploy intelligent AI agents using LangChain, LangGraph, and LLMs to automate enterprise supply-chain workflows with Python, FastAPI, and cloud-native tools.
Build and deploy enterprise AI systems, integrating LLMs and reusable services into scalable software platforms while ensuring clean architecture and high availability.
Build and deploy enterprise-scale AI/ML models for banking, using Python, PySpark, and LLMs; partner with business to drive measurable outcomes and maintain model governance.
Lead the end-to-end development of AI-powered commercial and medical products for oncology, including GenAI tools and predictive models, to drive measurable field adoption and patient outcomes.
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Build and deploy AI-powered applications using Azure AI services, RAG, and agentic frameworks like LangGraph to create intelligent, automated solutions for clients.
Build and architect agentic AI systems (RAG, tool-calling agents) in .NET/C# and Python, then enable WellSky’s engineering teams to adopt them via shared libraries, training, and CI/CD tooling.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
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