Note: The job is a remote job and is open to candidates in USA. BAM Ventures is looking for a Senior Engineer on Applied AI to join Honor Technology, a leader in aging care innovation. The role involves designing and building systems that leverage AI to improve operational efficiency and enhance decision-making processes across the organization.

Responsibilities

• Help design, build, and productionize the foundations that make this possible
• Work on systems that power AI-assisted sales follow-up, operational defect analysis, reusable memory and retrieval patterns, internal agentic tools, AI-powered data analysis, schedulable workflows, or closed-loop feedback systems that connect audits, product changes, and measurable business outcomes
• Work closely with engineering, product, design, data, operations, security, and business stakeholders to move quickly while maintaining the discipline needed for production systems
• Help create the paved roads: secure model access, compliant data pathways, observability, cost controls, evaluation patterns, human-in-the-loop workflows, and reusable architecture that allows teams across Honor to adopt AI without creating long-term fragmentation

Skills

• You thrive in a diverse, cross-functional team, collaborating with design, product management, data, operations, security, and other engineering teams
• You are excited by ambiguous, high-leverage problems where the right answer requires both technical judgment and operational empathy
• You enjoy building production-grade systems that connect user-facing workflows, backend services, data pipelines, and AI/LLM capabilities
• You've built and maintained production-grade features in Python, or have transferable experience in common languages like Node.js and are willing to learn Python
• You know how to design reliable data models and have used relational databases at scale
• You have been a key contributor to the design and implementation of large, complex projects
• You are comfortable working in and refactoring legacy, monolithic systems while also designing new services and integration patterns
• You are a strong communicator, both verbally and in writing, and can explain technical tradeoffs to technical and non-technical audiences
• You think carefully about quality, observability, privacy, security, and operational risk
• You are excited to work with AI systems in a way that is pragmatic, measurable, and grounded in real business outcomes
• You are willing to participate in an on-call rotation in collaboration with our tier 1 support team
• You have experience building LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks
• You have worked with model providers or platforms such as AWS Bedrock, OpenAI, Gemini, Anthropic, or similar systems
• You have experience with secure data access patterns, RBAC, auditability, or compliant data workflows
• You have built internal tools, workflow automation, or systems that support operations teams at scale
• You are comfortable working with messy operational data and turning it into reliable product or platform capabilities
• You have experience designing systems that involve human-in-the-loop review, feedback loops, or measurable quality improvement
• You are knowledgeable about microservice architecture and best practices
• You have experience working with an RPC architecture
• You are comfortable with frontend development and have experience with JavaScript frameworks like React
• You have experience leveraging observability and monitoring tools like DataDog
• You enjoy mentoring and spreading knowledge to other engineers
• You are energized by building foundations that help other teams move faster and more safely

Benefits

• Generous equity packages that increase with position level and responsibilities
• 401K with up to a 4% employer match
• Medical, dental and vision coverage including zero cost plans for employees
• Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option
• Generous time off program
• Mental health benefits
• Wellness program
• Discount program

Company Overview