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We are looking for an experienced AI Engineer to join our team and work on enterprise AI solutions involving Generative AI, LLMs, NLP, RAG, and Microsoft Azure . What you’ll be working with: • Python & SQL • Azure…
The Forward Deployed Engineer works directly with enterprise clients to build, deploy, and scale custom technical solutions, including AI and LLM integrations. This role acts as a bridge between client needs and core product development, requiring strong software engineering skills and the ability to communicate with technical stakeholders.
Designs and integrates AI-driven marketing workflows for a global enterprise, aligning Generative AI tools with MarTech ecosystems and enterprise standards.
Design and integrate AI-driven marketing workflows, embedding LLMs, RAG, and agents into enterprise MarTech stacks while aligning with security and governance standards.
Build and deploy ML pipelines for document intelligence using AWS, focusing on GenAI, RAG, and multi-modal models to extract data from large PDFs for mobility clients.
Build and deploy trustworthy, multi-agent AI systems that analyze sports performance data to provide calibrated, escalation-aware recommendations for coaches and athletes, using Python, Go, and AWS.
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
Engineer and optimize prompts for Sberbank’s GigaChat LLM suite, integrating models via API and testing for quality and hallucination reduction.
The AI Platform Engineer will build and maintain enterprise GenAI, LLM, and MLOps platforms, focusing on RAG services, CI/CD pipelines, and DevOps automation. This role is based in Halifax and requires a hybrid work schedule with four days in the office.
The AI Platform Engineer builds and operates enterprise GenAI and LLM platforms, focusing on MLOps frameworks, RAG, and CI/CD automation. The role requires expertise in Kubernetes, Docker, and Python or TypeScript to support distributed AI services and developer experience.
О компании и проекте Мы развиваем технологичный продукт на стыке AI, мобильных приложений и IoT . Создаем кроссплатформенное мобильное приложение для Android и iOS, которое помогает следить за безопасностью, состоянием…
Senior AI Product Engineer building end-to-end solutions (backend, frontend, APIs, integrations) with Python, JavaScript/TypeScript, and React for a Barcelona-based tech consultancy focused on AI-driven digital marketing, development, and cybersecurity projects.
Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
Senior Data Engineer building AI-ready data pipelines, RAG/vector search infrastructure, and data governance solutions using Python, Airflow, Kafka, and vector databases like pgvector and Pinecone.
AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
Builds and deploys GenAI, Agentic AI, and NLP models to enhance customer service in SMSF/wealth banking, focusing on productionizing AI solutions, governance, and responsible AI practices.
Senior Full-Stack Engineer building OPSWAT's cybersecurity platform using .NET, Python, and ReactJS, while driving AI-augmented development practices and LLM integration into products.
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
Designs and builds AI-powered tools (LLMs, RAG, agents) for enterprise software engineering and DevSecOps, integrating with Azure cloud and ensuring compliance with VA AI governance.
AI Software Engineer in Test who uses AI tools to accelerate test automation, build/maintain test frameworks across web, mobile, API, and data platforms, and validate AI/GenAI outputs — primarily using Selenium, Playwright, Cypress, REST Assured, JUnit, TestNG, PyTest, CI/CD tools, and SQL at a fintech point-of-sale lending company.
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