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Lead a team building AI-powered meteorological tools and automation to improve weather forecasting workflows and operational efficiency for The Weather Company.
Build and deploy generative AI tools for sales teams, including copilots, chat/voice interfaces, and personalized outreach, using Python, LangChain, and LLMs.
Senior engineer building and deploying production-grade generative AI solutions for investment workflows, including retrieval pipelines, agents, and responsible-AI systems.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Senior ML engineer builds and optimizes AI-driven feature pipelines and model training systems for a deep-learning ad platform, using Python, Spark, Kafka, and PyTorch.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Build full-stack AI evaluation tools in Python/TypeScript/React to help teams mine driving scenarios, run tests, and debug autonomous-vehicle models at scale.
Senior Product Manager for 'New Bets' at Heidi, an AI-driven healthcare startup. Owns end-to-end product development for new healthcare solutions, from problem framing and prototyping to piloting and scaling. Works closely with clinicians to validate ideas, kill underperforming bets, and launch successful products in healthcare.
Role As our Agentic AI Engineer, you will build the intelligence layer that sits on top of our knowledge graph: the part of APAS that turns structured regulatory and operational data into deterministic, citation-backed…
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Builds and maintains data pipelines using Databricks, focusing on ETL/ELT processes, data quality, and cloud-based data processing with Delta Lake, PySpark, and Unity Catalog.
Lenovo is seeking a Finance AI Full Stack Engineer to design and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. The role involves building end-to-end applications, integrating with ERP systems, and optimizing AI performance for finance-related workflows.
Build and ship full stack web apps using modern JavaScript/TypeScript and backend stacks, while integrating AI features and leveraging AI coding assistants daily.
Backend Engineer, AI Role: As a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness,…
This senior fullstack role involves building and scaling web applications and production-grade LLM/RAG solutions using Node.js and Vue.js. The developer will own end-to-end architecture, including API design, RAG pipeline development, and AI workflow orchestration.
Build and secure AI-enabled applications, agents, and RAG systems in a hybrid role, shaping AI security strategy, threat modeling, and runtime guardrails while collaborating on application security reviews.
Designs and builds AI-driven platform services on AWS, translating research into production-grade solutions for governance, risk, and compliance (GRC) data. Focuses on serverless, scalable, and observable systems while collaborating with AI researchers and product teams.
This role involves designing, training, and validating machine learning and deep learning models and deploying them into production environments. The position is hybrid, requiring approximately two days of on-site work per month in Barcelona.
Leads end-to-end data projects, transforming data into products with ownership of pipelines, APIs, and dashboards, using cloud, backend, and some frontend technologies.
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