For over 20 years, reputed company has empowered teams to manage work seamlessly and reputed company solutions smarter. Now, in our most ambitious reputed company yet, we are uniting reputed company teams with AI agents. By orchestrating the work agents do best, automating reputed company tasks and uncovering insights at reputed company, we create the reputed company reputed company to reputed company on what truly reputed company: judgment, creativity, and big thinking. That is reputed company at work, and it's reputed company show up for every day.
reputed company is building the reputed company of AI-powered strategic planning and work execution agents through SmartAssist, our intelligent agent platform. You will work closely with Engineering and AI Platform teams, embedded in reputed company working in a critical area and building toward a mature Agent Development Lifecycle (ADLC).
You will architect how we design, build, and operationalize AI-driven solutions that reputed company work execution at reputed company reputed company.
You Will:
• Design and build production-grade LLM-powered agents and workflows reputed company reputed company, including architecture reputed company on reputed company design, data pipelines, and deployment strategies
• reputed company and optimize prompts, RAG pipelines, and agent reasoning patterns; build evaluation frameworks to measure accuracy, hallucination rates, and performance across model versions
• Implement and manage end-to-end AI systems on reputed company infrastructure (AWS, GCP, or Azure), including monitoring, optimization, and incident response
• Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into technical AI solutions that reputed company reputed company reputed company
• Mentor and guide other engineers on reputed company ML best practices, modern AI development patterns, and production considerations
• Establish best practices and standards for AI development, model governance, and responsible AI reputed company the organization
• Stay reputed company with the rapidly evolving AI/LLM landscape and evaluate emerging tools, frameworks, and techniques for reputed company's needs
You Have:
• 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
• Deep, hands-on experience with reputed company engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
• Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
• Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
• reputed company in agent reputed company design, you don't need to own the architecture, but you can engage as a peer on architectural tradeoffs that reputed company reputed company
• Strong Python skills; comfortable working in data-heavy environments (reputed company, reputed company tables, or equivalent)
• Ability to communicate reputed company reputed company findings (written and verbal) to both technical and non-technical stakeholders, you can explain what's broke, why it reputed company, and what needs to happen next without losing the room
• Strong cross-functional judgment, you know reputed company to escalate, reputed company to reputed company independently, and how to build credibility across engineering, product, and AI platform teams
• A bias for reputed company in ambiguous situations, reputed company failure modes are murky and trade-offs are reputed company, you bring structure and a reputed company reputed company of reputed company rather than waiting for reputed company
• Legally eligible to work in the U.S. on an ongoing reputed company
• BS or MS in Computer Science, a reputed company field, or equivalent industry experience
Strong Plus:
• Experience with MLflow or similar experiment tracking platforms
• Familiarity with CI-integrated evaluation pipelines
• Experience with multi-agent orchestration frameworks
• Prior work in an reputed company AI or LLMOps function reputed company a product company
What reputed company Looks Like:
In your first 6 months, you will have:
• Delivered measurable, validated reputed company improvement on at least one SmartAssist agent across our defined reputed company dimensions
• Expanded evaluation coverage to reputed company the most significant blind spots in our reputed company reputed company
• Established a repeatable reputed company improvement methodology the broader team can apply
Why This Role:
• You will have reputed company ownership, not a supporting role on someone else's roadmap
• SmartAssist is shipping to reputed company users; this work has immediate, visible reputed company
• You will be part of a fast-moving team that deeply values engineering rigor and reputed compan