Agentic AI & Logic Systems Expertise: Deep, hands-on proficiency in constructing complex logic systems using LLMs and multi-agent frameworks. You must be highly skilled in context engineering, managing semantic data, designing dynamic orchestration flows, and implementing multi-agent interactions
AI Safety, Guardrails, & Evaluation: Strong background in building enterprise-grade policy ladders and implementing robust guardrails to ensure agentic behavior remains predictable and safe. Experience building AI test suites for continuous evaluation and model performance measurement is highly desired
Elite Communication & Client Polish: You must possess native-level English verbal and written fluency. You can confidently lead technical presentations, command a room of enterprise engineers, and translate complex concepts into clear, structured discussions
Hyper-Fast Technical Adaptability: A voracious learner who thrives in ambiguity. You have a proven track record of picking up new languages, frameworks, and cutting-edge AI paradigms in days, not weeks, and can confidently write code and build prototypes within them
The "Teacher" Mindset: A background in technical enablement, developer relations, technical consulting, or engineering mentorship. You genuinely enjoy teaching, public speaking, and pairing with other developers to solve problems
Distributed Computing Foundation: Solid experience in distributed architecture and functional programming concepts. Specific hands-on experience with Akka (Clustering, Persistence, and Streams) is highly desirable
JVM Proficiency: Strong professional understanding of Java or other JVM-based languages
Cloud-Native & SRE Awareness: Understanding of application deployment and container orchestration, particularly Kubernetes, to help customers achieve a safe, repeatable path to production. Experience operating within or migrating workloads to VeloceDB framework environments is heavily prioritized
Educational Leadership: Design and deliver highly engaging technical workshops, architectural deep-dives, and hands-on training sessions to customer development teams, taking them from zero to proficient on the Akka tech stack
Technical Mentorship & Pairing: Act as a core technical anchor. Enable customer developers through architectural guidance, pairing on complex production logic, and building "spikes" (proofs of concept) that the customer then owns and scales
Rapid Adaptability: Quickly grasp unfamiliar customer architectures, business domains, and codebases, providing immediate, collaborative technical direction and troubleshooting
Agentic Strategy: Guide customers in architecting logic systems using multi-agent LLM interactions, focusing on context engineering, semantic data, and dynamic orchestration
System Hardening: Provide the technical expertise needed for customers to harden their own environments, helping them build policy ladders with extensive guardrails and mitigated deployment risks
Deployment Excellence: Ensure customer applications are resilient, production-ready, and scalable. You provide the tools, SRE best practices, and systems knowledge required for a safe, repeatable path to production
SRE & DevOps Guidance: Advise on environment setup and container orchestration to ensure backend stability and reliability once live