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Senior/Principal AI/ML Solutions Architect
Design and build scalable AI/ML infrastructure for a global fintech leader, focusing on real-time fraud detection and liquidity optimization using AWS, Kubernetes, and PyTorch.
Python Generative AI Developer
Build and deploy generative AI models using Python, focusing on model training, fine-tuning, and integration into production systems.
Principal AI Engineer
Leads AI engineering at Weekday AI, designing and scaling core AI models and infrastructure for the company’s primary product.
Senior Software Engineer (Backend / AI)
Builds and maintains Python-based backend services for a real-time situational awareness platform, integrating AI models (LLMs, RAG, Computer Vision) and cloud-native tools (K8s, AWS) to support emergency response and defense operations.
AI-Native Full Stack Developer
Build and maintain AI-native full-stack applications using modern web technologies and machine learning integrations.
AI Engineer
Build and improve AI models and systems for a company whose core product is AI/ML.
AI-Native Full Stack Developer
Build and maintain AI-powered web and mobile apps using React, Node.js, and PostgreSQL, integrating LLM APIs and modern cloud tools.
Founding Machine Learning Engineer
Build and scale the core ML systems for a new AI startup, designing models and infrastructure from the ground up.
AI Engineer – GenAI & LLM
Builds LLM and GenAI applications to analyze production data, automate error root-cause analysis, and generate reports using RAG and AWS integrations.
AI Engineer
Build AI agents and MCP servers that let LLMs autonomously use internal financial data; optimize GPU/CPU and storage for high-performance AI workloads; and implement end-to-end MLOps pipelines with RAG over knowledge graphs.
Principal AI Engineer
Lead AI engineering projects, architecting and deploying Classical, Generative, and Agentic AI solutions in Python while mentoring teams and aligning with client needs.
AI-инженер / AI Automation Engineer
AI engineer builds and integrates LLM-powered assistants and workflows into a corporate portal to automate HR, sales, finance, and ops tasks, making internal tools intuitive for employees.
Senior AI Engineer
Builds and deploys AI-powered backend services using LLMs, RAG, and vector search; writes Python microservices and data pipelines for production GenAI apps.
ML Engineer (ИИ-агенты)
Develops and maintains NLP pipelines, RAG systems, and AI agents for banking services, integrating them into high-load systems with a focus on Python and ML engineering best practices.
Agent / AI Engineer
Builds and maintains the AI layer of a GCC Intelligence Platform, including an LLM-powered conversational agent with grounding, retrieval, and permission-aware querying for enterprise users.
AI Product Engineer / Business analyst / System analyst
Build and ship an AI agent that automates car-rental sales and support: design prompts, integrate with CRM, and tune conversational flows to handle bookings, extensions, and FAQs.
Applied AI Engineer (Forward Deployed) (w/m/d)
Build and deploy AI agents and RAG systems using TypeScript/Node.js and React, integrating LLM APIs with tool use and structured outputs.
Middle ML Engineer
Build and optimize multi-agent LLM systems and RAG pipelines for city-scale digital services using Python, FastAPI, and async pipelines.
AI Engineer (LLM)
Build and maintain production-grade LLM pipelines and multi-agent systems for generative AI features, primarily in finance, using Python and APIs from providers like OpenAI and Anthropic.
Manager, Data Platform - AI Engineering
Lead a team building and deploying enterprise data platforms, AI models, and generative AI solutions using Databricks, cloud-native tech, and AI tools like LangChain and Pinecone.