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The application window is expected to close on: 09/19/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This role follows a hybrid work model,…
The Technical Product Manager will lead Generative AI initiatives for legal software, focusing on building voice AI agents and task automation tools. The role involves translating business requirements into technical specifications, managing product backlogs, and collaborating with development teams using AI frameworks.
Why AIS? When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters…
RESPONSIBILITIES & TASKS: AI Solution Development Design, develop, test, and deploy AI/ML models supporting business and operational outcomes. Build and maintain AI services, APIs, and microservices for enterprise…
Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API…
The data engineer will develop AI-driven solutions on Azure, focusing on production-ready AI workflows, scalable Python backends, and data processing pipelines using Databricks. The role involves implementing prompt engineering and collaborating within a compact team to deliver reproducible AI results.
Software Engineer II on TD's Gen AI team, developing and maintaining AI/ML-powered applications using Python, machine learning models, and GenAI/LLM technologies within the bank's Technology Solutions division.
Job Description What is the Opportunity? An enterprise AI platform that orchestrates knowledge, governance, and multi-step agent workflows is only as valuable as the experiences built on top of it. You will design and…
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce…
Builds and maintains integrations for Cohere’s AI workspace platform (North), owning the pipeline for adding external tools, testing, and improving agent performance while collaborating with engineers to enhance workflows.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
The Full Stack Engineer will build AI-powered SaaS products by developing web scrapers, customer dashboards, and scalable systems for virtual browsers. The role involves working with NextJS, React, NodeJS, Python, and LLM integration.
The Senior Software Engineer will integrate LLMs and machine learning solutions into the company's platform, focusing on building AI-driven features, internal automation tools, and scalable ML infrastructure. The role requires strong expertise in Python, RAG pipelines, and production-level AI model deployment.
This role is for a founding forward deployed engineer to build and deploy AI-powered operational platforms for pharmaceutical and manufacturing clients. The position involves writing production code in customer environments, configuring LLM pipelines, and bridging the gap between customer needs and core product development.
The Manager, AI Engineer leads a team in developing scalable Gen AI solutions, including LLM pipelines and RAG architectures, using Python, React, and AWS. This role involves hands-on technical leadership, mentoring engineers, and driving the organization's AI roadmap.
At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is…
Lead the design, development, and deployment of AI/ML and Generative AI solutions for semiconductor/NAND manufacturing and business operations using Python, ML frameworks, and MLOps pipelines.
The Senior Applications Architect will lead the development and implementation of application architectures, focusing on scalable data pipelines using Databricks and AI-driven data analysis. This onsite role requires extensive experience in cloud-native technologies, microservices, and public sector governance processes.
The Senior AI Engineer will design and implement AI-powered contact center solutions using Amazon Connect, Amazon Bedrock, and LLMs. This onsite role involves developing conversational AI agents, integrating cloud services, and optimizing prompt engineering for enterprise applications.
Key Responsibilities: Own the end-to-end document extraction lifecycle, from onboarding and configuration through UAT to production support. Conduct requirement analysis for field-level data extraction across various…
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