Deep Understanding of Agentic Systems Candidates must be able to confidently discuss: Memory management in agentic applications How agents: Maintain context……
Scope & Expectations • 100% hands-on engineering role (no people management) • Deliver production-quality code and deployments • Work within existing……
Education: Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related technical field. Veeva will not provide sponsorship at this time.…
Collaborate with functional and technical SMEs to build, test, and refine user-configurable matching logic, validate algorithm outputs, and develop generative……
Experience building AI agents is a big plus (MCP tools, evals, feedback loop). BS/BTech (or higher) in Computer Science, Engineering or a related field required……
Experience leading technical teams and owning technical roadmaps. Our ideal candidate combines deep software engineering expertise with a passion for AI, an……
2+ years of experience in AI development, automation engineering, software development, or related field. Design, develop, and maintain automation solutions……
Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.…
Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for……
Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement.…
BA/BS degree in Computer Science or related software engineering field, or equivalent practical experience. FanDuel offers paid sick time in accordance with all……
Full-stack development is highly desirable, with exposure to front end and backend application code development, particularly in Python, SQL, and React.…
Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders. What you will bring along.…
This role supports Engineering leadership in driving appropriate change control, maintaining project schedules and quality standards, designing and programming……
You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our……
You see a manual, "boring" insurance process and immediately start mapping out the agents needed to automate it. The appeals process is the same in either case.…
Create intelligent triage systems that route incoming accounts based on balance thresholds, statute of limitations calculations, bankruptcy flags, active-duty……
You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our……
Experience building or integrating MCP servers to manage tools, context, and state across LLMs and external systems. Go To Market/Full time/Hybrid.…
You’ll own the technical direction for AI platform systems, establish standards and patterns, and lay the architectural groundwork to enable reliable, scalable,……
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Job Description: This is NOT a traditional full stack or backend role anymore. ✅ Built end-to-end AI / agentic applications ✅ Understand what goes into an LLM, what comes out, and how to use it ✅ Can productionize AI systems (not just prototype) 2. Ability to Turn LLM Output into Action Key expectation: “Don’t just call an LLM — do something meaningful with the output” Candidates should demonstrate: Structured output handling Workflow orchestration Turning AI responses into usable application features 3. Productionization > Prototyping This is where candidates are currently falling short. Ross is heavily focused on: How AI apps are moved into production environments Understanding of: CI/CD in enterprise environments Deployment workflows Reliability & operational considerations ✅ They don’t have to build CI/CD pipelines themselves ✅ But must understand how production systems work at a high level 4. Deep Understanding of Agentic Systems Candidates must be able to confidently discuss: Memory management in agentic applications How agents: Maintain context Store/retrieve information Execute multi-step workflows