• Support certification planning and execution for aircraft systems in accordance with 14 CFR Part 25 • Interpret and apply FAA regulations, policy, guidance material, applicable to assigned systems • Work closely with engineering disciplines to ensure certification requirements are translated into clear, actionable design and verification requirements • Coordinate and support compliance demonstrations, including analysis, inspection, ground tests, and flight tests • Interface with FAA, DERs, or other certification authorities under the guidance of senior certification leadership • Track certification issues, risks, and assumptions; support resolution through technical and regulatory coordination • Support conformity activities and review certification artifacts for accuracy and regulatory compliance • Participate in design reviews (PDR, CDR), safety reviews, and certification readiness reviews as required

• Partner with engineering and product teams on how to best convey ClickHouse’s features in a clear, concise, but comprehensive manner catering to developers with diverse experience levels in ClickHouse and other databases. • Write documentation and guides for new features launched by engineering and product teams. • Proactively engage with the GitHub community to address and resolve any issues pertaining to documentation. This can include: attentively responding to requests for enhancements, such as adding clarity, rectifying errata, and incorporating any other necessary improvements. • Foster a culture of continuous improvement within the team by consistently refining and optimizing our processes and style guides. Additionally, actively collaborate with cross-functional teams to drive collective efforts aimed at enhancing our overall efficiency and effectiveness. • Create scripts and automation to keep documentation up-to-date.

• Architect and ship scalable, mission-critical brokerage systems (gRPC microservices, REST/gRPC APIs, vendor integrations). • Advance the core platform for multi-region, multi-currency, and regulatory context globally. • Own API quality, performance, and operational readiness for regional workloads. • Lead, coach, and develop engineers in Singapore; set clarity on priorities, quality bar, and career growth. • Partner with recruiting on regional hiring and interviews. • Facilitate knowledge sharing and engineering culture across Alpaca. • Act as a senior escalation for incidents affecting regional stacks; improve monitoring, alerting, and incident response. • Participate in on-call as appropriate for the team’s coverage model. • Work with Product, Compliance, and local stakeholders on Singapore and regional requirements. • Collaborate across time zones with US and other regional engineering teams.

Role Description We are currently searching for a role in AI Application Development with the following responsibilities: - Design and develop AI-powered applications using Generative AI and machine learning models. - Integrate Large Language Models (LLMs) such as OpenAI or Azure OpenAI into enterprise applications. - Build AI copilots, chatbots, document intelligence solutions, and recommendation systems. - Implement Retrieval Augmented Generation (RAG) architectures using vector databases. - Develop pipelines for embedding generation, semantic search, and contextual retrieval. - Optimize prompts, context handling, and response accuracy. - Deploy AI models and services using containerization and cloud platforms. - Implement monitoring, evaluation, and feedback loops for AI systems. - Ensure security, scalability, and performance of AI services. Qualifications - Proficiency in Python development and familiarity with libraries like FastAPI, Flask, or Django. - Proven experience with LLMs and foundation models in an enterprise context. - Strong knowledge of RAG architectures and vector databases. - Experience in AI Deployment (MLOps) including containerization and cloud-based services. Requirements - Backend Engineering in .NET Core / .NET 8+ for building scalable microservices. - Integration of AI models into .NET backend systems. - Implementation of asynchronous and event-driven processing for AI workloads. - Experience building data pipelines for ingestion, preprocessing, and model inference. - Knowledge of handling structured and unstructured data (documents, text, knowledge bases). - Advanced Oral English. - Advanced Spanish. Benefits - Fully remote work environment.