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Builds and ships full-stack AI systems (context graphs, model routing) for Coworker’s enterprise AI platform, shaping architecture and mentoring junior engineers while integrating AI across 40+ enterprise apps.
Develops AI-driven workflows on Azure, builds scalable Python backends, and constructs data pipelines in Databricks for production-grade AI solutions.
The Senior Engineer will develop and maintain scalable web applications using .NET and Angular while leveraging AI-assisted development tools for productivity. The role involves designing RESTful APIs, collaborating in an Agile environment, and mentoring junior team members.
The Software Engineer will build and maintain production-grade AI agents and workflows on the Maxify platform, integrating business systems and ensuring reliability through deterministic code and rigorous evaluation. This role focuses on end-to-end ownership of automated business processes rather than simple prompt engineering.
Build and deploy full-stack applications and AI-powered workflows using Python, JavaScript, and Go, integrating LLMs and cloud services in a fast-paced Singapore-based engineering team.
Senior developer building and maintaining full-stack applications with Angular frontends and Python backends, deploying on AWS and Kubernetes while enforcing code quality and UX standards.
Designs and runs automated tests for banking software, using Selenium, Java, and Python to validate systems while integrating AI tools like GitHub Copilot to streamline workflows.
Build and deploy ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
Firmware/Software Engineer II on a 1-year contract in Singapore, responsible for developing and automating firmware tests, building CI/CD pipelines, performing root cause analysis, and leveraging Gen AI tools to improve efficiencies.
Hands-on AI/ML analyst building and testing data science, machine learning, and GenAI solution components for a large U.S. bank's India GCC, using Python, SQL, and LLM/RAG techniques.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce…
The Test Architect / Tech Lead will design and build reusable test automation frameworks and application architecture for Lilly's Global Regulatory Affairs and Scientific Communications platforms. The role focuses on scaling quality engineering for generative and agentic AI systems, including RAG validation and LLM evaluation.
Lead Data Scientist designing and deploying ML, NLP, and GenAI models (including RAG systems) using Python, cloud platforms (Azure preferred), and frameworks like TensorFlow, PyTorch, and LangChain for an executive search firm's Digital-IT team.
The Lead Data Scientist will oversee the enterprise AI strategy, managing teams focused on Generative AI, MLOps, and machine learning applications for HVAC and data center operations. This role involves leading the end-to-end AI lifecycle, from experimentation to production, while aligning technical initiatives with business goals.
Think start-up energy, backed by enterprise scale. We are building modern platforms within a global organization—combining the agility, ownership, and engineering freedom of a start-up with the stability and funding of…
The Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Data Engineer III will build and maintain data pipelines, develop BI dashboards, and use Python and SQL to analyze platform performance metrics. This role supports cross-functional teams at a fintech company by transforming complex data into actionable business insights.
Build AI agents to help Chinese sellers grow globally on Amazon’s platforms by designing conversational tools powered by LLM-based intelligence, retrieval systems, and guardrails for accuracy and compliance.
The Principal AI Engineer leads an embedded innovation squad to design, build, and deploy agentic AI solutions into production. The role focuses on architecting LLM-based systems, establishing reusable AI patterns, and mentoring engineers while working across the enterprise to scale AI capabilities.
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