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Senior software engineer building AI-integrated, cloud-native cybersecurity tools for a defense contractor, focusing on containerized deployments and NLP-driven threat analysis.
Build and deploy machine learning models for search, AI features, and data pipelines at a collaborative design platform, using Python and ML libraries.
Builds AI-powered prototypes in 4-week cycles to solve pharma supply-chain and manufacturing problems, then hands them off for production. Uses Python, ML, LLMs, and low-code tools to deliver data-driven solutions.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s content ecosystem, including Firefly and Creative Cloud, using Python, TensorFlow/PyTorch, and distributed systems.
Build and deploy Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Build and deploy production-grade AI and GenAI solutions for banking products, using Python, TensorFlow/PyTorch, and cloud-native tooling.
Lead AI Engineer builds and deploys ML models and Gen-AI agentic apps in Python using TensorFlow/PyTorch, integrating them into production systems for Westpac’s banking products.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Designs and validates machine learning models for laboratory data analysis, focusing on chromatography, mass spectrometry, and scientific workflows.
Lead a team building high-performance analytics systems for equities trading using KDB+/Q and Python, processing real-time market data at scale.
Builds ML models to predict and reduce customer churn for Warner Bros. Discovery’s streaming services using Python, SQL, and PySpark.
Build and deploy production-grade AI systems, fine-tuning LLMs and orchestrating agentic workflows to solve domain-specific challenges in energy and infrastructure.
Build and deploy production-grade AI systems, including LLMs and agentic workflows, from data pipelines to model fine-tuning and deployment.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
Senior engineer building AI-assisted software workflows, reviewing AI-generated code, and translating business specs into testable requirements using C#, .NET, and PostgreSQL.
Build AI-powered finance automation features using Python, LLMs, and agentic systems to enhance BlackLine’s SaaS platform for accounting teams.
Build and scale foundational ML systems for global money movement, fraud detection, and customer-facing features using Python, PyTorch, and cloud platforms.
Role Overview We are looking for a talented Forward Deployed AI Engineer with a passion for software engineering, Generative AI, Agentic AI, and enterprise AI transformation. In this client-facing role, you will work…
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
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