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Lead a team building Python-based GenAI applications for financial-sector clients, designing scalable AI systems, RAG pipelines, and agentic workflows using LLM orchestration tools like LangChain.
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…
Builds and deploys a distributed AI stack that offloads inference and workloads across a private PC cluster, integrating agentic frameworks with edge devices and enforcing security policies.
Build and maintain SaaS web apps that embed ML and generative AI for aerospace engineers, using Python, React, AWS, and agent frameworks like LangGraph.
Designs scalable, AI-ready architectures for PitchBook’s investment platform using Java, Spring, React, and cloud services, guiding engineering teams and aligning tech with business goals.
Build and deploy transformer-based generative AI models and NLP pipelines for PitchBook’s financial data platform using PyTorch, LangChain, and vector databases.
Senior engineer building agentic AI systems using LangChain/LangGraph/GoogleADK, orchestrating multi-agent workflows and event-driven architectures across hybrid/multi-cloud environments.
Lead AI-driven data platform development, designing scalable systems with LLMs, RAG, and multi-agent frameworks to power enterprise intelligence.
Lead a team shipping autonomous AI agents that prepare tax returns and complete professional tasks end-to-end, bridging product strategy with agile execution and customer feedback.
Designs and evolves an agentic AI platform for insurance sales, integrating LLM-driven workflows, orchestration, and enterprise systems to power AI-first customer interactions across voice, messaging, and digital channels.
Lydia AI - ORCA Lydia AI is building ORCA, an agentic AI platform that helps businesses research, analyze, and present complex information using AI-powered workflows. ORCA helps enterprises scale expert‑led work by…
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
Build and fine-tune LLMs and agentic AI systems that power Lyft’s safety and customer-care workflows, using post-training, agent frameworks, and evaluation pipelines to handle millions of interactions.
Build and deploy production-grade ML systems using PyTorch/TensorFlow, LangGraph/LangChain, and GCP for a retail-focused AI product team.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Build and harden AI agent systems that automate underwriting and claims workflows in insurance, using Python and modern agent frameworks.
Build and deploy production-grade AI systems for banks and insurers, automating back-office workflows with Python, ML frameworks, and compliance-first design.
Build and ship agentic LLM systems, RAG pipelines, and evaluation frameworks to power grant discovery and fundraising automation for nonprofits.
Design and build GenAI and agentic AI solutions—like conversational AI and RAG systems—on Databricks and AWS to improve wealth-management workflows and decision-making.
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