Axiamatic, Inc.

United States
Total Offices: 2
89 Total Employees
Year Founded: 2021

Teams at Axiamatic, Inc.

12 Days AgoSaved
In-Office
Menlo Park, CA, USA
Artificial Intelligence • Software • Generative AI
Build and shape an agent-orchestration platform using frontier LLMs. Transform heterogeneous enterprise program data into structured, queryable knowledge, develop reliable and observable backend services, and own features from design through production. Collaborate with product management and customers, make prioritization decisions, review code, write tests, and support production systems. The role requires strong Python backend skills, LLM production experience, cloud expertise, and comfort solving ambiguous startup problems.
12 Days AgoSaved
In-Office
Bengaluru South, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Software • Generative AI
Leads a forward-deployed engineering team delivering customer-specific software and AI solutions for complex ERP and IT transformations. Partners with enterprise stakeholders on discovery, architecture, pilots, integrations, and production deployments. Builds AI agents, analytical workflows, data pipelines, and enterprise applications while establishing secure, scalable engineering practices. Identifies reusable patterns across engagements and converts successful solutions into product capabilities. Mentors engineers, influences product strategy, and develops repeatable deployment approaches for enterprise customers.
Artificial Intelligence • Software • Generative AI
Owns end-to-end implementation and onboarding for Axiamatic’s agentic platform, translating customer goals into configured solutions and driving rapid first value. Manages roadmaps, scope, timelines, customer commitments, and Forward Deployed Engineers. Leads adoption, quarterly business reviews, value realization, expansion identification, and churn-risk mitigation while engaging executive stakeholders. Requires Big Four transformation consulting experience, multiple ERP implementations, strong project management, customer value delivery, and the ability to explain agentic AI capabilities to nontechnical audiences.