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Senior Backend Engineer builds and maintains AI-driven trade and logistics systems in Java/Spring Boot and Python, integrating LLM APIs and cloud-native AWS infrastructure to automate industrial materials supply chains.
Designs and builds secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrates agentic AI workflows using LLM frameworks for automation and decision support.
Design and build secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrate agentic AI workflows using LLM frameworks for automation and decision support.
Builds high-performance Next.js/React interfaces for a telehealth platform, using AI tools to accelerate development while ensuring clinical reliability and HIPAA compliance.
Build and scale an AI-powered legal automation platform in Python, integrating legacy government systems and modern generative AI to deliver corporate legal services.
Build and scale Python backend services for generative AI agents using LangChain/LangGraph, integrating LLMs and vector databases to power insurance and digital customer-service applications.
Build and scale AI agents and GenAI workflows in Python/Node.js to boost developer productivity and software quality, integrating with CI/CD and vector databases.
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…
The Role This is a software engineering role first and foremost. You'll build and ship product capabilities across our platform — and a meaningful part of your work will be AI-powered features, which is why…
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale.…
Designs and prototypes AI systems in Python, integrating models, tools, and enterprise data to build custom copilots and agents for enterprise use cases.
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 the architecture and engineering of a modern, cloud-native data platform for State Street’s investment management business, using Python, Spark, Snowflake/Databricks, and Apache Iceberg to build scalable analytics and governance capabilities.
Product Owner at a cloud/AI consulting firm: bridge client business needs with technical solutions, own backlogs in Jira, and guide agile teams to deliver strategic product outcomes.
Design and integrate generative AI features (LLM orchestration, embeddings, fine-tuning) into client systems while ensuring security and compliance in both commercial and public-sector environments.
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.
Build and optimize AI systems for customer service automation, using prompt engineering, RAG, and agentic workflows to improve real-time interactions at scale.
Build and deploy AI-powered healthcare tools using LLMs, RAG, and multi-agent systems to improve senior care access and outcomes.
Leads the enterprise AI platform architecture at a pharmaceutical company, defining standards for RAG pipelines, agentic AI, FinOps, and security while ensuring compliance with regulated environments.
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