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Overview Diligent's Commercial AI Transformation function builds AI agents that automate real workflows across our commercial organization, from sales and customer success to internal operations. We've already…
Own SQL Server databases and ETL pipelines, tune performance, and build vector-aware data stores to power AI features for an aerospace manufacturer.
Build and deploy full-stack AI systems for clients, from scoping to production, using modern GenAI stacks, Python, and FastAPI.
Senior AI Engineer builds and deploys enterprise AI agents on Azure and Databricks to automate business processes across departments like sales and legal.
Build a reinforcement-learning decision system and lead a small engineering team, shipping customer-facing APIs and secure data pipelines in a fast-moving startup.
Builds and fine-tunes diffusion models to generate and style product photos for an online fashion catalog, then deploys them with MLOps/backend teams.
Design and build an AI-driven payments automation layer using LLM orchestration and multi-agent systems, while ensuring compliance and scalability in a regulated financial environment.
Build and deploy agentic AI systems and LLM features like RAG with citation, handling end-to-end AI/ML projects from data prep to deployment.
Build and scale an AI-powered clinical reasoning system that handles millions of patient consultations, improving safety and accuracy through agentic architectures, retrieval, and continuous learning.
Build and deploy AI-powered software for governments and industries, turning research into real-world solutions with modern web tech and cloud infrastructure.
Build and deploy AI-powered software for governments and industries, turning research into real-world solutions like automated permitting and optimized energy systems.
Lead AI agent integrations and pre-sales demos, ship code, and build a regional engineering team for an AI platform serving enterprises across voice, chat, and email.
Lead the design and deployment of production-grade AI systems, including LLMs, RAG, and agentic AI, using FastAPI/Flask and MLOps pipelines.
Designs and builds scalable data pipelines and AI tooling for industrial AI platforms, using cloud-native stacks and AI-assisted coding.
Build and improve AI-powered products using LLMs, agentic frameworks, and vector databases to solve business problems across fintech, healthcare, and other industries.
Designs coding challenges, writes and evaluates AI-generated code in Kotlin/JavaScript for an AI-focused tech company.
Designs, builds, and deploys AI-powered applications to automate business processes and solve real challenges within a financial services company.
Design, fine-tune, and deploy large language models for healthcare applications, build RAG pipelines, and curate training data.
Builds RAG workflows and AI-agent pipelines using Teradata-Claude integrations in Python/SQL, optimizing data models and ETL/ELT for advanced analytics.
Design and deploy scalable AI/ML solutions, including LLM, NLP, or computer vision models, while building data pipelines and mentoring junior engineers.
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