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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.
Embed with banks to design and demo composable banking solutions using Java/Spring Boot, event-driven systems, and AI integrations, acting as a technical bridge between Deloitte’s platform and client needs.
Build and ship full-stack products with GenAI and agentic capabilities using modern frameworks and cloud-native AI services.
Build and deploy production-grade generative AI systems for insurance workflows using LLMs, LangGraph, FastAPI, and Azure/Databricks.
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…
We are seeking a highly skilled and experienced Tech Lead to join our AI innovative team. This role requires a strong background in hands-on coding, excellent design thinking, and superior problem-solving abilities.…
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/ML models and GenAI copilots to optimize Amgen’s global supply chain, integrating LLMs, vector databases, and orchestration frameworks like LangChain to automate decisions and improve efficiency.
Builds and deploys production-grade agentic AI systems (LLMs, RAG, orchestration) for American Express’s global commercial services, integrating with cloud-native stacks (Go/TypeScript/Python, AWS/GCP, Kafka, Kubernetes) to enhance customer-facing financial solutions.
Lead a team building secure, scalable financial platforms using cloud-native tools and advanced programming to deliver trusted products for JPMorgan Chase.
Build production-ready GenAI apps and reusable AI assets using RAG, Langchain/Langgraph, and Azure Cloud, while collaborating with cross-functional teams.
Build and deploy AI agents for Adobe Express, using LLMs, RAG, and multi-agent systems to power creative workflows and scale production systems.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
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.
Advises on and experiments with agentic and generative AI systems to recommend scalable, responsible AI solutions for Desjardins Group’s AI initiatives.
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