• 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.

Role Description Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry. Location: Toronto or Greater Toronto Area In this role you will: - Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. - Build LLM powered agent systems: Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. - Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. - Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations. Qualifications - 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. - Hands-on experience with LLM applications in production, including prompt engineering and utilizing frameworks for online and offline evaluation. - Experience with LLM-assisted search, such as query understanding and augmentation, text2sql, and entity extraction. - Experience with vector or graph databases. - Experience with document chunking, embedding models, and context window optimization. - Familiarity with metadata-based retrieval and re-ranking strategies. - Hands-on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency). - Familiarity with data security, versioning, and MLOps principles. Requirements - Experience with enterprise AI applications with strict compliance, audit, or legal requirements. - Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements. - Experience with multi-modal search. - Experience with graph-based recommendation systems, such as graph NN. - Experience with developing AI applications powered by agent-based systems. - Experience with packaging, CI/CD and pipeline automation. Benefits - Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being. - Retirement Planning: We offer an RRSP plan to help you plan for your future. - Learning & Development: We provide an annual education budget and a comprehensive L&D program. - Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness. - Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.