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Key responsibilities Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions. Use AI coding agents to accelerate…
Привет! TOPCASE открывает двери для ML-инженера! Представьте мир, где ваш код не просто работает — он меняет жизнь к лучшему. Это место, где разработка софта — это искусство, а программный продукт помогает людям. Если…
Mission Strengthen Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud…
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Design and deploy Microsoft’s cloud data & AI platforms (Fabric, Azure Databricks, SQL/Cosmos DB) for high-growth startups, running PoCs, hackathons, and architecture workshops to modernize their analytics stack.
Design enterprise AI solutions, lead customer workshops, and architect scalable GenAI/Agentic AI platforms using LLMs, RAG, and cloud infrastructure for industries like finance and healthcare.
Build and scale AI-driven features for iGaming, including generative AI, voice AI, agentic systems, and RAG pipelines using Python, LLMs, and cloud infrastructure.
Principal AI Data Engineer builds and deploys GenAI, RAG and agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Build and maintain full-stack web apps in TypeScript/Java/Node.js with AI integrations using LLMs, RAG, and vector databases to modernize lending workflows.
TL;DR: We’re looking for an AI Research Recruiter who knows where exceptional AI Researchers and engineers can be found. You’ll own full-cycle hiring across research, machine learning, data, evaluations, and ML…
Senior Machine Learning Engineer builds and deploys LLM-based AI systems, including agents and multimodal workflows, using Python, AWS, and CI/CD in a fast-paced consulting environment.
Designs and builds AI/ML models (LLMs, generative AI, or computer vision) using frameworks like TensorFlow and PyTorch, integrates them into applications, and optimizes performance in production.
Teaches and implements security for AI/LLM systems, including auditing agents, deploying guardrails, and governing AI operations to mitigate risks like prompt injection and tool abuse.
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Lead training, alignment, and optimization of large language models using RLHF, SFT, and quantization; build reward models, red-team models, and optimize inference pipelines in Python/C++/Rust.
Build Palette’s AI-native signal engine: ingest team tool data, model it as a queryable graph, and power shared context for both humans and agents using LLMs and vector search.
Role Summary As our AI Deployment Strategist, you'll be the catalyst driving the adoption and scaling of cutting‑edge AI solutions. It's a purely IC role. You'll work at the intersection of innovation and…
Lead the design and deployment of advanced AI models, including LLMs and multimodal systems, using deep learning and statistical methods to solve complex business and research challenges.
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