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Senior AI Engineer designing and operationalizing ML/AI solutions—predictive models, GenAI assistants, RAG workflows, and agents—for Teradyne's IT organization, building MLOps/LLMOps pipelines and production-grade practices using Azure AI Foundry, Copilot Studio, Anthropic Claude, Vertex AI, and Snowflake.
About Our Client Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
Affinda Group is seeking an AI Solutions Engineer to build and deploy enterprise AI solutions, including retrieval systems and agents, while working directly with clients. The role involves full-cycle development using Python and LLM technologies to automate complex business processes.
About the team Digital Enablement is Nexperia's fast-track enabler of AI & Digital use-cases and platform enablement. We operate as one global practice across Nijmegen, Hamburg, Kuala Lumpur, Seremban and…
You will own and evolve confidential execution architecture across zero-knowledge components TEE infrastructure relayers and Solidity settlement contracts. You will take the system from alpha to production while…
Lead AI Software Engineer at RBC's Global Functions Technology team, designing and building cloud-based applications and AI agentic solutions for US Regulatory Reporting using Java, Python, Spark, LLM frameworks (LangChain, LlamaIndex, MCP), and big data platforms like Snowflake and Databricks.
Design, build, and deploy AI applications and agentic systems (LLMs, orchestration, RAG, tool use) that solve real business problems across Stingray's departments, applying strong software engineering principles.
Build and evolve MCP servers, graph-RAG pipelines, and agentic layers that connect a platform to multiple LLMs (Claude, Gemini) using Python, vector databases, and graph data stores.
Build reinforcement learning environments that evaluate AI models on software tasks (bug fixing, refactoring, etc.) using MCP tools, designing reproducible environments and deterministic verification systems.
Builds and evolves MCP servers, tools, and graph-RAG pipelines to expose platforms to LLMs (e.g., Claude, Gemini) using Python, RAG, and vector databases, collaborating with product, data, and QA teams in an agile model.
Build MCP servers and graph-RAG pipelines, integrate multiple LLMs (Claude, Gemini), and deliver production-grade AI solutions in an agile team with product, data, and QA.
Part-time remote contractor building reinforcement learning environments to evaluate AI models on software tasks using MCP tools, handling bug fixes, feature development, refactoring, and performance optimization.
Build reinforcement learning environments for software engineering tasks using Model Context Protocol (MCP) tools, designing reproducible environments, deterministic verification, and reference solutions for bug fixing, refactoring, and performance optimization.
Senior Backend Engineer (contractor, ~15 hrs/week) building reinforcement learning environments to evaluate AI models on software tasks like bug fixing, refactoring, and feature development using MCP tools.
Full stack developer at Thales Canada building backend services, containerized deployments, and generative AI integrations (RAG pipelines, vector embeddings, MCP tools) for the Canadian Department of National Defence, primarily using Python, Docker, Kubernetes, and Helm.
Senior ML Engineer building end-to-end AI/ML systems for retail pricing optimization, with initial focus on agentic AI and A2A protocols using Python, agentic frameworks (ADK/LangChain), and cloud-native environments (GCP/AWS).
The Senior Frontend Developer will implement new features and maintain code quality using React, Typescript, and GraphQL. The role involves collaborating in a multidisciplinary team to build reusable components and documentation.
The DevOps Engineer will manage and optimize hybrid Kubernetes platforms across on-premise and cloud environments while integrating AI-driven automation tools into development workflows. This is a remote, freelance/B2B role requiring expertise in GitOps, infrastructure as code, and CI/CD pipelines.
NTT DATA is seeking a Full Stack Developer to build and maintain scalable web applications using Angular and Java. The role involves integrating Generative AI technologies into development workflows and collaborating within an international, agile team.
Senior Backend Developer to help build a Generative AI / Agentic AI platform hub in Valencia, designing backend services and APIs with Node.js or .NET 8 on Microsoft Azure infrastructure.
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