BJAK

AI Engineer

• Build and ship AI features end-to-end (model → system → user experience)
• Design and iterate on prompts, tools, memory, and agent workflows
• Turn raw model outputs into structured, reliable, and predictable behaviors
• Debug issues across the full stack (model, orchestration, infra, UX)
• Optimize for latency, cost, and production reliability
• Develop lightweight evaluation frameworks to measure real-world performance
• Work closely with product and engineering to translate ambiguous problems into working systems

Applied AI Engineer

Product Manager

• Define and drive BJAK’s overall product strategy and roadmap
• Identify high-impact product opportunities through user insights, data analysis, and market understanding
• Work closely with engineering and design teams to build products that are simple, scalable, and reliable
• Translate business goals into clear product initiatives and execution plans
• Lead the end-to-end product lifecycle from discovery and planning to launch and iteration
• Continuously improve product performance, user experience, and conversion through experimentation and data
• Ensure product decisions balance user needs, business goals, and technical feasibility
• Build and mentor a strong product team as the company grows

Backend Engineer

• Develop high-quality backend using NodeJS with best code practices
• Develop high-quality frontend using ReactJS / NextJS with best code practices
• Maintain production stability and resolve critical issues to minimize stability impacts
• Analyze and propose any code improvement opportunities for system enhancement
• Support change requests from cross-functional teams
• Mentoring and guides junior on development best practices
• Review pull requests from peers

Senior Software Engineer, JavaScript/TypeScript

Vice President

• Turn the CEO’s vision into clear operational priorities.
• Drive company-wide execution and accountability.
• Oversee and optimize operations across multiple departments.
• Identify bottlenecks, solve problems, and implement scalable systems.
• Ensure every initiative moves the company closer to its goals.
• Work with the CEO to define and track strategic goals, OKRs, and company initiatives.
• Convert strategic plans into actionable operational roadmaps.
• Identify process gaps, eliminate inefficiencies, and scale high-impact initiatives.
• Ensure timely alignment and delivery across departments.
• Oversee daily operations to ensure productivity and compliance.
• Manage timelines, reporting, collections, and invoice issuance.
• Establish standard operating procedures and monitor performance.
• Drive execution discipline and consistency across teams.
• Oversee billing, collections, and operational cost management.
• Ensure timely and accurate documentation of financial activities.
• Collaborate with Finance to manage budgets and optimize spending.
• Provide regular performance and progress updates to senior management.
• Prepare data, analysis, and recommendations for executive decision-making.
• Prioritize and manage the CEO’s operational agenda and communication.
• Draft professional materials for internal teams, partners, and board members.
• Lead and structure leadership meetings, off-sites, and project reviews.
• Work closely with department heads to resolve issues and maintain progress.
• Strengthen collaboration between Finance, HR, Marketing, Operations, and Medical Affairs.
• Track and report operational performance metrics.
• Identify trends, issues, and opportunities for improvement.
• Conduct client and stakeholder feedback sessions to enhance service quality.
• Lead strategic, cross-functional projects from start to completion.
• Build and implement operational systems that support scaling.
• Ensure projects are delivered on time and produce measurable outcomes.

VP, Strategy

SDET

• Design, develop, and enhance robust automation frameworks using modern tools (e.g., Playwright, Cypress, Selenium).
• Write clean, maintainable automated test suites for web, API services, and other application types.
• Integrate automated tests into Git-based CI/CD pipelines (e.g., GitHub Actions, Jenkins) to support continuous delivery.
• Execute and manage functional, regression, integration, and specialized performance tests.
• Participate in requirement reviews to define test scenarios, identify edge cases, and ensure maximum test coverage.
• Perform root cause analysis of failures and collaborate directly with development and product teams to resolve defects and ensure quality metrics are met.
• Maintain test data, mocks, and environments, and build specialized tooling (e.g., monitoring/reporting dashboards) to improve QA efficiency.
• Document test plans, test cases, automation design decisions, and contribute to the continuous improvement of overall QA processes and best practices.

Senior QA Automation Engineer

DevOps Engineer

• Design, build, and maintain CI/CD pipelines to support automated build, test, and deployment workflows
• Manage, operate, and scale Kubernetes clusters (EKS, GKE, AKS, or self-managed)
• Provision and maintain cloud infrastructure using Infrastructure as Code (Terraform, Pulumi, CloudFormation)
• Improve system reliability, performance, availability, and scalability
• Implement and maintain monitoring, logging, and alerting systems (e.g. Prometheus, Grafana, ELK, Datadog)
• Support zero-downtime deployments, rollbacks, and release strategies
• Troubleshoot production issues including latency, errors (e.g. 502s), pod crashes, OOMs, and networking problems
• Implement and enforce security best practices, including secrets management, IAM, and network policies
• Collaborate closely with software engineers on deployment strategies, system design, and operational readiness

Data Engineer

• Design, build, and maintain scalable, fault-tolerant data pipelines (batch and/or streaming) for core business and product data.
• Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability.
• Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases.
• Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation.
• Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency.
• Enforce data governance best practices, including access control, privacy, documentation, and data lineage.

Chief of Staff

• Serve as the trusted extension of the CEO's mind, maximizing their effectiveness and strategic focus.
• Translate the CEO's vision into clear, actionable priorities (OKRs/KPIs) and ensure consistent, rigorous follow-through across all leadership teams.
• Operate as the central hub of communication, planning, and coordination for the Executive Leadership Team (ELT).
• Own cross-functional problems and fix them with a bias for speed, structure, and accountability.
• Help scale the company by building necessary systems and driving momentum in a relentlessly fast-moving environment.
• Partner directly with the founder/CEO to define, track, and drive progress on company-wide strategic priorities, OKRs, and critical initiatives.
• Prepare high-quality briefings, analysis, and recommendations to support C-level decision-making and strategically optimize the founder/CEO's time and focus.
• Lead and facilitate core leadership forums (ELT meetings, off-sites), driving clear agendas, documentation, and ensuring cross-departmental alignment and execution momentum.
• Draft and refine polished communication materials for internal teams, the Board, and investors, serving as a key liaison across departments.
• Lead and execute high-priority, complex projects that do not have a natural departmental owner, supporting strategic initiatives from planning through execution.
• Identify operational gaps or inefficiencies across the business and proactively coordinate the solutions and systems required to enable company-wide scale.

Full-stack Engineer

• Build and maintain iOS applications using Swift and SwiftUI.
• Integrate AI-powered features through backend APIs.
• Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks.
• Optimize performance, memory usage, and battery efficiency.
• Capture user signals and feedback to support AI evaluation and iteration.
• Collaborate closely with backend and ML engineers on API design and system behavior.
• Maintain high App Store quality, stability, and production reliability.

iOS Software Engineer

Machine Learning Engineer

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger production systems.
• Implement evaluation and testing to understand model behavior.
• Help build and maintain data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship improvements iteratively and learn from real user feedback.
• Work closely with senior ML engineers and product teams.
• Work under real production constraints: latency, cost, reliability, and safety

Member of Technical Staff, Machine Learning

• Build core ML systems for applications
• Own work from data prep to iteration
• Collaborate with teams to impact user experience
• Debug production issues and improve systems

Senior Machine Learning Engineer

• Build and own end-to-end ML pipelines spanning data, training, evaluation, inference, and deployment.
• Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems, balancing latency, cost, and reliability.
• Design and maintain data systems for high-quality synthetic and real-world training data.
• Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
• Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
• Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
• Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
• Work under real production constraints: latency, cost, reliability, and safety

Principal Machine Learning Engineer

Android Engineer

• Build and maintain production Android apps using Kotlin.
• Integrate AI-powered features (chat, vision, voice, recommendations) via backend APIs.
• Design UX patterns for AI interactions, including streaming responses, retries, and partial results.
• Optimize performance, memory usage, and responsiveness for AI-heavy flows.
• Implement analytics, logging, and feedback capture to support AI evaluation and iteration.
• Collaborate closely with backend and ML engineers on API contracts and system behavior.
• Ensure app stability, security, and scalability in production environments.

Android Software Engineer

• Build and operate backend systems that serve AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around models.
• Own production concerns: monitoring, logging, alerting, and incident response.
• Optimize latency and throughput across inference, caching, batching, and streaming.

Applied AI Engineer

Product Manager

Senior Software Engineer, JavaScript/TypeScript

VP, Strategy

Senior QA Automation Engineer

DevOps Engineer

Data Engineer

Chief of Staff

Applied AI Engineer

iOS Software Engineer

Member of Technical Staff, Machine Learning

Senior Machine Learning Engineer

Principal Machine Learning Engineer

Android Software Engineer

Backend Engineer, AI – Agent Systems