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Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production
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Strong full stack knowledge including frontend systems like React and backend systems -Python and/or C# — most Vertical Solutions product development is Python (agents, APIs, ETL), while core platform work includes C#, frontend in React. Willingness to work across both is important.
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Experience building production AI systems — LLMs, tool-calling, multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), structured outputs, orchestration, and evaluation of model behavior in real-world workflows
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Distributed systems experience — designing resilient systems with idempotency, replay ability, state management, and long-running jobs
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Strong analytical thinking — able to reason quantitatively about system quality and make sound decisions using imperfect signals
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Comfortable with ambiguity and rapid prototyping — able to move from idea to proof-of-concept quickly and iterate based on customer feedback.
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Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus.
What You’ll Bring to the Team
• Bachelor’s/Master’s degree in Engineering, Computer Science or equivalent experience.
• 13+ years of software engineering experience, with 5+ years focused on distributed systems and backend architecture.
• Strong proficiency in one or more system-level languages – Javascript / C# / Java etc
• Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts).
• Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms.
• Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution.
• Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models.
• Hands-on experience with cloud ecosystems: Azure, AWS, or GCP.
• Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent.
• Hands-on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows.
• Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns.
• Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code.
• Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables.
• Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels.