Tech jobs
Job listings
Senior Software Engineer (AI Platform & LLMOps)
Build and scale AI evaluation infrastructure, automated pipelines, and observability tools for LLM agents using Go, Python, OpenTelemetry, and Temporal.
Senior AI Engineer- AIDA
Build and scale AI-driven systems and agentic AI workflows, integrating LLMs, APIs, and middleware for enterprise use cases while ensuring security, scalability, and production readiness.
AI Agent Engineer
Build production-grade AI agent systems that power marketing content workflows, focusing on agent loops, retrieval, evaluation, and cost/latency optimization using TypeScript and Python.
AI Engineer (DLP)
Build and deploy autonomous AI agents and RAG pipelines to automate safety training analytics and compliance workflows using Python, PyTorch/TensorFlow, and agentic frameworks like LangGraph.
AI SDLC Lead Engineer (Cloud Architect) (m/f/d)
Lead AI-assisted SDLC patterns for cloud software stacks, guiding OpenStack-derived services and AI coding agents to accelerate code analysis, refactoring, and documentation while ensuring auditability and security.
Python developer (Вывод в пром ИИ-агентов)
Builds and deploys AI agents for HR workflows: prototypes, RAG pipelines, and production-grade Python code with FastAPI, PostgreSQL, Kafka, and GPU infra.
Middle Data Scientist (SafeHub)
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
AI & Automation Data Scientist Intern (Jan 2026 - 4 month - Toronto or Calgary)
Build and deploy machine learning models on IBM Cloud or Azure, using Python, GenAI frameworks, and cloud tools to solve enterprise-scale problems for clients.
AI Engineer (GenAI / RAG / LangGraph / Python)
Build enterprise Generative AI apps using Python, RAG, LangGraph, and vector search to create AI agents and chatbots that integrate with knowledge bases and enterprise systems.
Senior Generative AI Engineer
Builds and deploys production-grade AI agents and RAG pipelines on Vertex AI, Claude, and Gemini for healthcare workflows, integrating with Salesforce, MuleSoft, and Java systems.
Middle Java Developer (Пульт. Навыки ИИ-помощников)
Builds Java/Kotlin microservices and MCP servers that integrate external AI agents and tools into a unified AI assistant for entrepreneurs, using Spring Boot, PostgreSQL, LangChain, and RAG pipelines.
AI Product Expert & Solutions Architect
Designs and deploys enterprise-grade AI solutions, from RAG architectures to agentic workflows, while advising clients and troubleshooting production issues.
Senior Системный аналитик (Пульт. Навыки ИИ-помощников)
Designs AI-agent integrations and MCP-server requirements for Sber’s non-financial AI assistant, modeling processes and data schemas while coordinating partners and internal teams.
Middle Data Scientist (SafeHub)
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
Artificial Intelligence (AI) Software Engineer
Build and deploy production AI services using Python, LangChain, and commercial LLMs (Claude, Codex, Gemini) for a defense enterprise, integrating with enterprise systems and ensuring reliability.
Applied AI Engineer
Build production-grade full-stack software that integrates with agentic AI systems and LLM APIs, using AI coding assistants daily as a standard engineering practice.
Principal Machine Learning Engineer
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Director, Applied AI Engineering
Lead AI engineering strategy and architecture for Deloitte’s Applied AI products, integrating GenAI and agentic systems into scalable, enterprise-grade solutions while mentoring teams and setting engineering standards.
Machine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/Hybrid
Build and deploy AI agents and LLM-powered systems for healthcare workflows, including RAG pipelines and multi-agent orchestration, while leading technical mentorship and best practices.