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R&D-focused NLP role building multi-agent LLM systems, RAG pipelines, and optimizing inference for large-scale text processing in a fintech environment.
Build and scale an internal AI platform using LLMs, vector databases, and agent frameworks to automate engineering workflows and create AI assistants for sales, design, manufacturing, and leadership.
Designs, builds, and deploys AI solutions for a global banking client using Generative AI, Agentic AI, LLMs, and vector databases on cloud platforms.
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
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.
Analyzes business processes to design and document Generative AI solutions using Large Language Models and agents, then monitors their performance and impact.
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.
Lead the architecture and delivery of enterprise agentic AI systems using LLMs, orchestration frameworks, and cloud-native MLOps to automate and enhance business operations.
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…
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.
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…
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