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Generative AI and Document AI Engineer
Build and deploy generative AI and document AI solutions using LLMs, RAG, and agentic frameworks in Python, then transfer ownership to business teams.
Specjalista AI / Machine Learning Engineer
Build and tune LLM-based AI agents and RAG systems for ERP automation and SaaS knowledge bases, using Python, PyTorch, LangChain, and cloud pipelines.
ML Engineer
ML Engineer designs and deploys AI agents and multi-agent systems using Python, LLM frameworks, and vector databases for a large bank's marketing ecosystem, with Kafka, REST APIs, and Docker.
AI Software Engineer – GenAI / LLM / Python
Design, build, and deploy AI-powered applications using Generative AI, LLMs, Python, RAG, and cloud tech.
Senior Engineer - Machine Learning
Build and scale generative AI and ML systems for commercial real estate, including Berkadia’s proprietary AI platform Berkie, using Python and cloud infrastructure.
Lead AI Product Engineer
Lead AI Product Engineer builds and deploys internal AI tools (chatbots, agents, RAG) to automate operational workflows at a global live-entertainment platform, splitting time between stakeholder discovery and hands-on Python/LLM engineering.
AI Engineer, Manager - Tax Transformation
Lead a team to design, build, and deploy AI-powered tax tools using Python, FastAPI, and .NET Core, while managing client relationships and code quality.
Data Scientist
Build and deploy AI-powered audience analytics for a large-scale media intelligence platform, using Python, PySpark, Databricks, and modern ML/AI techniques.
Senior AI Engineer II - Agentic AI
Build and ship LLM-powered agentic AI systems for financial services, using Python, Go, TypeScript, cloud platforms, and Kafka to create autonomous workflows over sensitive data.
ML Engineer (ИИ-агенты)
Build and deploy NLP pipelines, RAG systems, and AI agents for banking services, integrating them into high-load systems with Python and ML best practices.
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Lead a team of engineers deploying bespoke generative AI solutions directly in customer environments, coding, debugging, and mentoring to solve enterprise-grade AI challenges.
Исследователь-разработчик агентных систем (LLM/NLP)
Research and build an agentic AI system platform that converts natural-language task descriptions into executable multi-agent pipelines, optimizing them via evolutionary algorithms and LLM-driven mutations.
AI Engineer / Data Scientist
Build and deploy AI/ML models and LLM-based assistants for pharma-market analytics, including RAG systems and data-driven decision tools.
Senior AI/ML Engineer
Senior AI/ML engineer builds and productionises GenAI and agentic systems, turning prototypes into robust, scalable APIs and pipelines in Python on AWS.
AI Solution Architect
Design and scale AI systems (LLMs, GenAI, agentic AI) for insurance workflows, integrating with enterprise platforms while ensuring governance, security, and observability.
AI Engineer
Lead AI Engineer builds and deploys generative AI and agentic systems for financial services, focusing on multi-modal LLMs, scalable MLOps pipelines, and enterprise integration.
Machine Learning Engineer
Build production-grade LLM and agentic AI systems using RAG, vector search, and modern frameworks like LangGraph to turn unstructured data into real-time insights for customers.
Conversational AI Engineer
Build and maintain AI-powered conversational agents using Google Dialogflow CX and Vertex AI to handle customer travel queries and bookings.
AI/ML Director
Lead AI/ML teams to design, build, and deploy autonomous agent systems using LLMs and RAG for automating complex banking workflows, while setting governance and safety standards.
AI Engineer
Design and deploy LLM-based solutions like RAG pipelines and agentic workflows in Python, building scalable GenAI apps and RESTful APIs across the full SDLC.