This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production
Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
Travel up to 20–40% to work on-site with customers and partners
Requirements
You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
You have experience owning the full scope of a use case end-to-end
You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
Experience setting architectural standards for AI and agentic systems across distributed teams
Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
Experience with enterprise security, compliance, or auditability requirements for AI systems
Skills Required
- Hands-on experience building and deploying production-grade software in Python
- Experience writing clean, testable, observable, and scalable code
- Experience building and deploying performant RAG and agentic applications
- Experience building agents that plan and execute multi-step tasks using patterns such as ReAct or Plan-and-Execute
- Deep familiarity with frontier models, vector databases, and orchestration frameworks
- Experience building evaluation frameworks to measure agent accuracy, safety, and latency
- Experience working directly with customers and leading technical discussions with enterprise stakeholders
- Ability to translate ambiguous business needs into concrete technical specifications
- Experience owning the full scope of a use case end to end
- Ability to execute effectively in fast-paced, ambiguous environments with shifting priorities
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Ability to work across unfamiliar technical areas, including frontend development
- Exposure to regulated or sensitive industries such as finance, healthcare, or telecommunications
- Experience with enterprise security, compliance, or auditability requirements for AI systems
What We Do
AI driven technology solutions for modern enterprises. We help organizations transform, scale, and innovate through a combination of artificial intelligence and advanced software engineering. By applying intelligent automation and data driven systems, businesses can simplify operations, improve efficiency, and unlock new growth opportunities. Our expertise includes AI strategy and consulting to identify high impact opportunities, AI development to build machine learning models and predictive systems, and intelligent automation to streamline workflows and boost productivity. We also deliver cloud migration, application modernization, embedded systems, and digital product engineering to help businesses move beyond legacy limitations and build scalable, future ready solutions. With a strong focus on results, we enable faster time to market, reduced operational costs, and improved performance across critical business functions. Every solution is tailored to specific goals, ensuring measurable outcomes and long term value. Take the next step toward smarter growth. Contact us now for a consultation and start transforming your business today.
