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AI Engineer - Materials Patsnap's Materials team builds intelligent systems that help materials scientists and engineers search, extract, and reason over materials science and patent data. You will own the agentic…
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Shape the future of our AI Engineering and AI Platform capabilities within the Data Science and AI tribe. We are building a new team of AI Software Engineers and AI Platform Engineers to bring AI use cases into…
Lead the design and implementation of production-grade agentic AI systems and AI-augmented software workflows using Python, LangGraph/LangChain, and tools like Claude Code.
Build and ship production-ready AI systems for financial services using LLMs, RAG, and agentic workflows; own full-stack features from backend services to React frontends on AWS.
What you'll do 1、Participate in the end-to-end R&D of the observability platform across all four pillars — Metrics, Logging, Tracing, and Profiling — building full-stack observability infrastructure…
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Build and deploy production-ready AI and multi-agent systems for healthcare, focusing on secure, compliant generative AI workflows using LLMs, RAG pipelines, and cloud platforms.
Lead a team to design and implement end-to-end test automation for AI-powered healthcare systems, validating LLMs, RAG pipelines, and model outputs using frameworks like RAGAS and DeepEval.
Lead a team to design and implement AI-focused test automation frameworks, validating LLMs, RAG, and agentic systems using tools like Playwright, Cypress, and DeepEval.
Builds and maintains AI agents that audit construction cost documents, extracting and validating data from PDFs and Excel to flag discrepancies and provide traceable results for users.
About TechTorch At TechTorch , we’re building the future of intelligent work. Our mission is to help companies design, build, and deploy AI agents that automate complex, real-world workflows — delivering reliability,…
Build and own the backend and AI agent orchestration for an autonomous mental-health care platform that coordinates patients, clinicians, and LLM agents in real time using Node.js, TypeScript, Postgres, and AWS.
Lead AI engineering strategy and architecture for Deloitte’s Applied AI products, integrating GenAI and agentic systems into scalable, enterprise-grade solutions while mentoring teams and setting engineering standards.
Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard…
Build and run the Kubernetes-based infrastructure that powers Fronius’s AI systems, including LLM serving, MLOps tooling, and CI/CD pipelines.
Build and improve AI-powered financial software using Python, LLMs, and enterprise-scale AI/ML solutions to enhance customer experiences and business capabilities.
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