Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Lead AI Engineer builds and scales enterprise Agentic AI platforms using LLMs, RAG, and MLOps on AWS, while mentoring teams and guiding client AI roadmaps.
Builds and deploys secure enterprise AI workloads by writing production code, designing low-latency topologies, and integrating Prisma AIRS with microservices and multi-cloud architectures.
Builds and ships production-grade AI features for a retail merchandising platform using LLMs, RAG, and agentic AI systems in Python.
Builds and deploys autonomous AI agent systems for government missions, focusing on agentic workflows, multi-agent collaboration, and cloud-native architectures using Python and modern AI frameworks.
Design and build the enterprise AI platform’s core architecture, reusable patterns, and agentic AI systems for New York Life’s insurance and financial services.
Build New York Life’s enterprise AI platform and agentic solutions, spanning cloud-native infrastructure, multi-agent orchestration, retrieval systems, and governance—using Python, GCP, and AI-assisted tools.
Designs and builds scalable, secure multi-tenant AI/ML platforms with LLMs and agent frameworks like AutoGen and LangChain.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Senior role leading enterprise AI strategy and solution architecture, designing generative AI systems (LLM orchestration, RAG, vector DBs) and advising C-level clients on secure, scalable AI adoption.
At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We…
Design and deploy AI-powered copilots and agentic solutions using Microsoft’s AI stack (Copilot Studio, Azure AI Foundry) and Python, integrating LLMs and RAG for enterprise clients.
Senior AI Engineer at PwC’s India Acceleration Center, designing and running experiments with LLMs and AI agents to evaluate tools and produce client-ready insights using Python and cloud platforms.
Design and lead production-grade AI systems, LLM integrations, and agentic workflows for a global services firm, shaping technical strategy and mentoring teams across public and commercial sectors.
Build agentic AI systems and scientific workflows for drug discovery, integrating LLMs, retrieval, and biological models to accelerate research.
Design and implement enterprise-scale GenAI and Agentic AI solutions using Azure OpenAI, RAG pipelines, and frameworks like AutoGen; lead MLOps/LLMOps and productionize AI applications.
Design and build AI agents and automation workflows in Python and Microsoft Azure to streamline legal and business operations, integrating with Power Platform and third-party tools.
Build and prototype AI-driven security solutions for enterprise environments, focusing on Agentic AI systems and automation using Python, Go, and AI frameworks like LangChain.
We couldn't check your fit for this role — add a CV to your profile to see it next time.