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Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Build and deploy AI solutions to automate internal business processes using LLM models, APIs, and Python; prototype AI products and integrate them with corporate systems.
Senior NLP/LLM engineer to design and build end-to-end AI-copilot pipelines for premium client managers, including RAG, multi-agent orchestration, and LLM fine-tuning with PyTorch.
Leads a team building and operating an MLOps platform and multi-agent environment, overseeing the full ML lifecycle, AI agent integration, and scalable infrastructure for a large corporation.
Lead the architecture and hands-on development of a next-gen agentic AI platform for banking workflows, integrating LLMs and multi-agent systems to automate processes and boost productivity.
Build and deploy production-grade LLM-powered applications, including RAG systems and agent workflows, using TypeScript, Python, and cloud infrastructure.
Build agentic AI systems for pharma intelligence using Python, LangChain/LangGraph, and software engineering to process complex data and support decision-making.
Senior AI Engineer builds and integrates LLM-powered chatbots and NLP tools to deliver data-driven insights for automotive dealerships, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy LLM-powered AI agents for a cloud platform that turns renewable energy operational data into actionable insights for global monitoring and optimization.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Build and train AI agents (Python, LangChain/LangGraph) to detect early risk signals in small-business loan portfolios, designing scalable multi-agent pipelines and cohort-analysis tools for real-time decision support.
Designs and deploys AI solutions for banking clients, integrating agentic AI, cloud platforms, and enterprise systems like Salesforce and Azure AI Foundry.
Build AI-powered CRM demos and prototypes using LLMs, Salesforce, and full-stack engineering to solve enterprise challenges and showcase solutions to clients.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Build and deploy cutting-edge forecasting models and LLM agents for scenario planning in banking, using PyTorch, LangChain, and production-grade MLOps tooling.
Builds and deploys generative AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch in Python, while ensuring GDPR and EU AI Act compliance.
Architect data infrastructure and build AI-driven risk workflows for agentic systems using LangSmith, LangGraph, and LangChain.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
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