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Design and build agentic workflows and AI-assisted tools using LLMs and retrieval systems to automate business processes in a manufacturing context.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
This AI Engineer role involves designing, developing, and industrializing generative AI solutions using Google Cloud Platform, including RAG architectures and AI agents. The position requires strong Python skills and experience managing the full lifecycle of AI models from development to production.
Senior Software Engineer at Cisco's CX Engineering org building AI-driven solutions, scalable back-end systems, and MLOps pipelines using Python, Go/TypeScript, Kubernetes, Kafka, and cloud platforms.
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
Design, develop, deploy, and support production-grade AI/ML solutions using Python, PyTorch, scikit-learn, and Azure, working across the full machine learning lifecycle at State Street in Bangalore.
This 1-year contract role involves leading enterprise application development and integrating AI capabilities like LLMs, RAG, and AI agents. The engineer will manage the full SDLC, implement DevOps practices, and collaborate with stakeholders to deliver secure, scalable cloud-based solutions.
The Associate Solution Architect will assist in designing end-to-end enterprise solutions, including cloud-based systems and AI-enabled applications. The role involves translating business requirements into technical designs, creating architecture documentation, and collaborating with engineering teams to ensure security and scalability.
Full-Stack AI Engineer building secure, scalable web applications with React/Next.js, Node.js, and PostgreSQL, integrating LLM/GenAI APIs and leveraging AI coding tools across the full development lifecycle on Singapore's government tech stack.
The Solution Architect will design and implement scalable multi-cloud and Generative AI solutions for clients, bridging business requirements with technical execution. The role focuses on AWS, Azure, and GCP environments, utilizing LLMOps, RAG, and agentic AI frameworks to deliver production-grade platforms.
Designs and delivers multi-cloud, AI-driven enterprise solutions (GenAI/Agentic AI, RAG, LLMOps) for clients, leading architecture, POCs, and technical delivery across AWS/Azure/GCP.
The Full-Stack AI Engineer will develop end-to-end applications using React, Next.js, TypeScript, and Node.js while integrating LLMs and Generative AI features. The role involves managing PostgreSQL databases, building CI/CD pipelines, and utilizing AI coding tools to enhance development productivity.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) by designing Python microservices, APIs, and cloud-integrated systems for Thermo Fisher’s scientific and healthcare applications.
The Software Engineer will design, build, and support AI assistants and automation agents using technologies like ChatGPT, Copilot Studio, and Power Automate. The role involves developing scalable microservices, managing LLM/RAG pipelines, and ensuring the reliability and performance of AI solutions within a product team.
The Staff Software Engineer will lead the architecture and development of scalable, cloud-native automation systems while mentoring engineers and driving AI-native development practices. The role involves deep technical ownership of complex features and close collaboration with cross-functional teams to deliver enterprise-grade AI-powered automation solutions.
Design and lead the migration of large federal systems from AWS to Google Cloud, modernizing infrastructure, implementing AI-enabled solutions, and ensuring compliance with federal SDLC/SELC standards.
Become a part of our caring community The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from…
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