• Leading the architecture, design, and delivery of distributed cloud-native applications capable of high concurrency and demanding real-time data needs. • Designing and building production-grade data pipelines and ETL/ELT workflows — modeling data for both transactional (OLTP) and analytical (OLAP) use, and orchestrating them with modern workflow tooling. • Integrating ML and GenAI capabilities into product features — from model serving and evaluation to LLM-powered enrichment, retrieval (RAG), and intelligent automation within our services. • Championing data quality and correctness — building validation, observability, and testing into every step of the pipeline so downstream analytics and AI features can be trusted. • Collaborating with data science, product, and engineering partners to ship intelligent, complex product features. • Setting and promoting engineering standards for code quality, security, and operational excellence; nurturing automation and continuous improvement. • Diagnosing and eliminating performance bottlenecks and proactively addressing reliability risks. • Mentoring, reviewing code/architectures, and fostering a culture of rapid learning. • Decomposing legacy systems into SOA/microservices, resolving tech debt, and evolving the architecture for scale. • Taking end-to-end ownership of major initiatives from planning through impact.

• Design, develop, and maintain features across our front-end and back-end systems • Collaborate with product managers, designers, and fellow engineers to translate requirements into well-architected, reliable software • Write clean, tested, and well-documented code with a focus on maintainability and long-term quality • Participate in code reviews • Contribute to architectural decisions, helping evaluate trade-offs and choose the right tools for the job • Identify and resolve performance bottlenecks, bugs, and technical debt across the stack • Help improve engineering processes, tooling, and development workflows.

Title: AI Architect Claude Code Senior Developer - Job Opening IDBZ_772_JOB - Salary & Package$160K-$220K base, bonus, benefits - IndustryTechnology - Job TypePermanent - Skills RequiredAI, Agentic, Architect - Education/QualificationsIT Degree or Masters - CategoryApplication Development - Right to Work in CountryUSA Citizen - CityRemote USA - State/ProvinceAny - CountryUnited States - Zip/Postal Code10001 About Us Advisory, Executive Search, Senior Appointments, Interim Management Consultants Job Description AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not chatbots, not hype. We are conducting a confidential search for an experienced AI Business, Solutions and Technical Architect to join a scaled, high-growth US consumer digital business. This role is for a former senior software engineer who now designs and builds production-grade, agentic AI systems. You will not be prompting and hoping for the best. You will be architecting the harness around the model so AI can reliably execute multi-step workflows at scale. The Mission Your mandate is to turn AI into a reliable operating system for the business. Work will progress across three levels: Level 1: Automate operational processes Level 2: Automate complex but binary workflows (clear right/wrong outcomes) Level 3: Apply AI to creative, non-binary work with verification, control, and measurement Success is defined by measurable wins, not impressive demos What You Will Do Architect and build agentic AI systems using Claude Code Design the AI harness, including: State management Context management (preventing context rot) Tool orchestration Error recovery strategies Verification and validation loops Failure reflection and learning Define SOPs and system logic before building agents Apply context engineering (ACE) so AI receives only what it needs — no more, no less Convert non-binary business problems into binary, measurable questions Ensure continuous improvement, performance tracking, and cost optimization Act as the bridge between product vision and technical execution Required Background Be US-based (remote within the US) Have a strong background as a software engineer / senior developer Have hands-on production experience with Claude Code Understand that AI ≠ chat Be able to clearly define a “win” and measure it Strong experience across: LLM & reasoning model fundamentals Agentic system design and orchestration APIs, integrations, data architecture, and security Python, TypeScript / JavaScript, SQL Cloud platforms (AWS, GCP, or Azure) How You Think Build systems and SOPs before agents Prefer principles over tools Avoid over-engineering Read source material, not shiny YouTube summaries Can deliver an actionable, measurable improvement within 48 hours Red flags we screen out: Vague specifications Tool or framework zealotry Cool demos that don’t survive production Research-only or academic profiles Over-engineered solutions Compensation & Benefits Bonus: 10–20% annual performance bonus Based on company results and individual system impact Benefits include: Medical, dental, vision insurance 401(k) with employer contribution Generous PTO and holidays Fully remote (US-based) Home office / equipment allowance Base Salary: $160,000 – $220,000 USD What Success Looks Like (6–12 Months) Multiple AI systems running in production High multi-step success rates across workflows Measurable operational or revenue impact AI treated as infrastructure, not experimentation

Title: AI Software Engineer Location: (Remote – United States, Canada) Full time Remote Job Description: Salary: $170K - $190K USD Role Overview Join a fast-growing company revolutionizing how science is communicated by enabling researchers to create professional scientific graphics quickly and easily. Often referred to as the Adobe or Canva for science, this company is on a mission to accelerate scientific discovery. With $17.04M in funding and a global presence, it is leveraging AI to further enhance its platform, ensuring scientists can visualize complex data with ease and precision. Responsibilities: Design and implement AI-powered solutions that enhance the scientific visualization platform. Collaborate with product and engineering teams to integrate AI into user-facing features and internal workflows. Develop scalable, AI-driven applications using modern JavaScript frameworks and Python. Optimize AI/ML models for performance, reliability, and scalability in production environments. Build APIs and implement AI/LLM-based solutions beyond basic coding assistants like Copilot or Cursor. Work across multiple codebases and technical domains without requiring extensive onboarding. Translate business requirements into technical solutions, ensuring seamless AI adoption in production workflows. Compensation: United States: ▪ $170K - $200K USD (Bay Area, Seattle, New York) ▪ $170K - $190K USD (Other US locations) Canada: ▪ $160K - $180K CAD Requirements: ✔ 7-12 years of full-stack software engineering experience, with expertise in JavaScript (modern frameworks) and Python. ✔ Proven experience integrating AI/ML models into production applications and AI-powered product development. ✔ Strong product engineering background, working closely with product teams on user-facing features. ✔ Preference for engineers who started in software engineering and later incorporated AI/ML into their work. ✔ Experience working on AI-native products, contributing to core functionalities. ✔ Familiarity with APIs for AI services (e.g., OpenAI) or experience implementing open-source models into production. ✔ Strong ability to explain technical concepts to non-technical stakeholders. ✔ Experience with cloud infrastructure (AWS preferred) for AI/ML-driven applications. Do Not Apply If You: Require visa sponsorship (H1B, TN, etc.). Have a history of frequent short tenures (job hopping). Have only worked in big corporations (Uber, Intel, etc.) without startup experience. Come from an IT consulting background (Infosys, Tata, Capgemini, Cognizant, Wipro, etc.). Graduated from coding bootcamps (Full Stack Academy, Hack Reactor, etc.). Have fake or misrepresented profiles.