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AI Software Engineer driving Iberdrola's AI transformation by developing end-to-end generative AI solutions (LLMs, RAG, agents) using Python/Java with FastAPI/Spring in cloud-native DevOps environments.
Build end-to-end AI solutions for a global energy leader, focusing on generative AI, LLMs, and scalable cloud-native architectures.
AI Software Engineer at Iberdrola in Madrid, developing end-to-end AI solutions (GenAI, LLMs, RAG, agents) for the company's AI transformation plan, collaborating across business, data, and cybersecurity teams to deliver scalable, production-grade systems.
Builds and maintains CI/CD pipelines, AI/RPA solutions, and Power Platform integrations for non-SAP systems, collaborating with the Team Lead to deliver automation projects end-to-end.
Own and evolve on-device conversational AI for an industrial safety wearable, building dialog systems with NLU, SLM inference, and deterministic safety guardrails under strict latency, memory, and thermal constraints on edge hardware.
Lead the architecture and development of RAG systems combining LLMs with industrial knowledge sources to build troubleshooting assistants, using Python, PyTorch, Hugging Face, LangChain, and vector databases.
Build and deploy production AI and agentic systems—including RAG pipelines, LLM assistants, and document intelligence—to transform tax workflows, collaborating across tax and engineering teams.
The Principal Consultant designs and deploys scalable data and AI solutions using Palantir Foundry and AIP. They work directly with clients to build production-quality AI applications, manage data pipelines, and implement agentic AI workflows.
Slalom is seeking an AI/ML Architect to design production-grade AI systems spanning data products, model orchestration, and secure governance. You will partner with clients to define strategy, drive architecture across…
Build and deploy AI agents using LLMs, orchestration frameworks, and RAG pipelines to automate multi-step tasks for Morgan Stanley’s financial services platform.
Build production agentic AI systems that automate workflows, support decisions, and enhance customer experiences in financial services using LLMs, RAG, and orchestration tools.
Build and scale an internal AI assistant and agentic AI workflows that automate commercial operations at a luxury beauty omnichannel retailer, using LLMs, LangChain/AutoGen, Python, RAG, and REST API integrations.
Embed with enterprise customers to prototype and deploy full-stack AI/ML solutions on Cloudera, turning complex data into actionable insights using modern AI stacks.
Build and maintain an agentic AI platform and conversational interface at HPE using Python, LLMs (OpenAI, open-weight), Kubernetes, and MCP tools, working hybrid from Bengaluru.
The Senior AI Engineer will design, develop, and productionize scalable AI/ML systems at Mastercard. The role focuses on MLOps, feature engineering, model deployment, and ensuring the reliability and observability of AI services in a production environment.
Architect and scale manufacturing data ecosystems, lead advanced analytics/ML initiatives, and build AI-powered automation pipelines for semiconductor manufacturing using Python, R, SQL, and modern data platforms.
Senior Python Data and AI Engineer at Citi Pune, building and optimizing ETL pipelines, data warehouses, and agentic AI systems using Python, SQL, and frameworks like LangChain/LangGraph with LLMs.
This role involves designing and developing GenAI applications using Python, LangChain, and vector databases within a financial services environment. The developer will lead application systems analysis, programming, and deployment using FastAPI, containerization, and CI/CD pipelines.
Build agentic AI systems—LLM-powered conversational interfaces, tool orchestration, and workflow automation—using Python and Kubernetes, in a hybrid role at HPE's Bengaluru office.
The Generative AI Architect-Manager leads the design and development of enterprise-grade AI solutions, focusing on scaling agentic AI, RAG architectures, and secure deployment. This role involves managing project delivery, mentoring teams, and collaborating with clients to implement advanced data and AI strategies.
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