About the job
Join an agile team with deep startup roots. We operate as a high-velocity 'startup-within-Salesforce,' following our recent acquisition. You’ll be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce. You will have the unique opportunity to build a '0 to 1' product with the founding team, while leveraging Salesforce's world-class Data Cloud and security infrastructure to drive immediate global impact at scale.
Responsibilities
Drive Agent Development & Architecture
Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability
Design and implement planning systems that enable agents to execute multi-step workflows autonomously
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
Lead Technical Strategy
Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps
Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks
Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices
Mentor & Collaborate
Mentor engineers to improve code quality, AI/ML practices, and system design
Collaborate with cross-functional teams including Design, Product Management, and industry experts to build high-quality product features
Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic environment
Engage directly with customers to gather insights and validate technical approaches
Participate in hiring decisions and contribute to our culture of continuous learning
Qualifications
Minimum
B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred)
5+ years (7-12 for Lead, 4-8 for Senior) of industry experience in Software Engineering, with a focus in AI/ML
Proficiency in multiple programming languages such as Python, Go, Java, or C++
Strong background in APIs, data modeling, and databases
Proficient with modern AI orchestration frameworks (e.g., LangChain, LlamaIndex) and production-grade serving libraries like vLLM or Hugging Face TGI.
Demonstrated ability to work both independently and collaboratively in a dynamic environment
Excellent written and verbal communication skills
Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers
A proven collaborator who can manage stakeholders and drive consensus across diverse engineering and product teams.
Experience with enterprise-grade observability tools (e.g., Splunk) and cloud infrastructure (AWS/GCP).
A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Preferred
No preferred qualifications listed.