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Protects cloud infrastructure by running vulnerability scans, triaging risks, and automating security workflows using Python and AI agents to strengthen Conga’s cloud security posture.
Build and optimize Generative AI solutions using LLMs, RAG pipelines, and agent frameworks like LangChain to automate business processes and integrate with external systems.
Build and maintain clinical NLP and AI pipelines for a healthcare AI platform, integrating agentic frameworks (LangChain, CrewAI) and ensuring reliable, explainable AI-driven coding solutions.
Builds full-stack cloud apps on GCP with Terraform, integrating LLMs and agentic AI to automate industrial analytics and decision-making for Ford’s mobility products.
Build AI-powered analytics tools for Ford’s mobility data, using full-stack development, GCP/Terraform, and LLM-driven agentic workflows to automate industrial decision-making.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Build and deploy multi-agent AI systems, multimodal pipelines, and RAG/Graph-RAG for fintech use cases using Python, PyTorch, and Databricks.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Build and deploy multi-agent AI systems for global financial markets, using Python, FastAPI, and frameworks like LangGraph and CrewAI.
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The…
Architect and implement generative AI solutions on SAP BTP, designing RAG pipelines, knowledge graphs, and LangChain orchestration to embed LLMs into enterprise SAP applications.
Build agentic AI workflows in Python to automate corporate IT reliability tasks like incident triage, root-cause analysis, and remediation, using LLMs, RAG, and agent frameworks.
Build and deploy AI agents for Adobe Express, using LLMs, RAG, and multi-agent systems to power creative workflows and scale production systems.
Lead the security design and risk-assessment for Fiserv’s enterprise AI program, defining secure-by-design architectures, guardrails, and risk-tiering models to safely adopt AI and agentic systems.
Design and deploy enterprise AI solutions on Red Hat OpenShift AI, including GenAI, agentic AI, and MLOps workflows, while advising customers and leading project teams.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
Build full-stack features and internal AI tools for a freight-tech startup, using TypeScript/React and LLM APIs to ship production code and agentic workflows.
Lead a team building and maintaining Geotab’s AI/data platform, designing scalable infrastructure for ML models, generative AI agents, and telematics data processing using Kubernetes, Apache Flink, and cloud services (AWS/GCP/Azure).
Architect and build DigitalOcean’s AI-native enterprise platform, defining standards for agentic systems, orchestration, and governance while integrating with core business tools like Salesforce and Workday.
Build and deploy production-grade AI agents for financial-services customers, integrating Google’s GenAI stack with enterprise systems and driving ROI through bespoke agentic workflows.
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