Founding Software Engineer
Clera · San Francisco, US· On-site · Full-time · Senior
Senior Machine Learning Developer
Clera · Montreal, Canada· On-site · Full-time · Senior
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Senior Director, AI Architecture
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Clera · Posted Nov 10, 2026
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Build and ship production software for a property operations platform, including AI systems and data models.
Base salary: $150,000 to $300,000 annually. Visa sponsorship is not available, including for H-1B transfers.
Build the data model and workflows that support the property operations platform. Develop AI systems that use property context to complete work, identify missing information, and escalate to people when needed. Make practical engineering decisions in areas requiring accuracy, including payments, financial records, and resident communications. Ship software to users, learn from system gaps and user feedback, and iterate. Clera · Posted Nov 10, 2026
Build and operate conversational AI systems that handle customer interactions over phone and SMS.
Base salary range: CAD 200,000 to CAD 250,000 annually.
Build conversational AI systems that understand customer needs, take action, and escalate when appropriate. Develop agent memory, knowledge graph, and customization tools to help systems adapt to different workflows. Train, evaluate, and deploy models for prediction, classification, ranking, and capacity forecasting. Create offline and online evaluations, simulations, and CI checks to detect regressions and measure production quality. Build shared ML and LLM infrastructure for model serving, evaluation, observability, and product development. Honeywell · Posted Nov 6, 2026
Lead the development and execution of cutting‑edge AI‑powered product strategies within the life sciences division, transforming advanced AI technologies into market‑changing solutions that drive revenue growth and operational excellence.
The annual base salary range for this position is $139,000 - $174,000.
Develop and execute comprehensive AI product strategies and roadmaps Lead development of LLM‑based systems and AI agents Integrate AI technologies into existing and new product workflows Stay at the forefront of emerging AI technologies Lead multiple cross‑functional teams (engineering, data science, QE, Architecture) to deliver AI products Bachelor’s degree in Computer Science, Engineering, or related technical field MBA or equivalent business education preferred Nice to have: MBA or equivalent business education Simplex · Posted Nov 6, 2026
Lead the development of Agentic AI capabilities for a next‑generation SaaS platform.
We will be available to offer a generous salary and equity for this position.
Own the Agentic AI roadmap and deliver the first roster of agents at launch Own the harness and production loop focusing on continuous improvement Set up the toolkit, then build, run, and maintain agents Own infrastructure, agent design, building, monitoring and evaluation once deployed Degree in AI or related field Bootcamp or vocational AI program Nice to have: Experience with multi‑tenant SaaS data Nice to have: Document‑heavy workflows (PDF, drawings, spreadsheets) Nice to have: Deep search/intelligence agents Apple · Posted Nov 6, 2026
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines that keep the data ecosystem healthy for Apple’s AI and ML features.
Austin, Texas, United States Cupertino, California, United States New York City, New York, United States San Diego, California, United States Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines Own the health of training and validation datasets Define and analyze observability metrics Apple · Posted Nov 6, 2026
Build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines to ensure data integrity for machine learning models across Wallet, Payments, and Commerce.
Austin, Texas, United States Cupertino, California, United States New York City, New York, United States San Diego, California, United States Build and maintain intelligent systems, validation frameworks, synthetic data generation models, and monitoring pipelines. Own the health of the data ecosystem that underpins ML and GenAI features. Stripe · Posted Nov 6, 2026
Design, implement, and maintain Stripe’s internationalisation platform, integrating backend services, product interfaces, and content workflows.
Design and build internationalisation infrastructure that supports diverse content surfaces Integrate localization into Stripe’s software-development and content-production workflows Build and maintain integrations with translation-management systems, LLM services and external localization providers Evolve Stripe’s existing production LLM capabilities Develop automated quality checks and human-evaluation workflows Nice to have: LLM experience Nice to have: machine-learning systems Nice to have: automated quality checks Nice to have: human-evaluation workflows Nice to have: internationalisation GiveCampus · Posted Nov 6, 2026
Design, build, and operate the next generation of AI infrastructure at GiveCampus, owning architecture, platform, and governance for AI systems.
Design and build AI infrastructure Develop shared context and memory systems Implement identity and access controls Governance and audit trail for AI models Create templates and guardrails for builders Nice to have: agent orchestration Nice to have: multi-agent systems Nice to have: agent governance Nice to have: Snowflake Nice to have: dbt Royal Bank of Canada · Posted Oct 27, 2026
Lead the design and implementation of enterprise AI reference architecture and standards across RBC Technology & Operations.
Define enterprise AI reference architecture and approved patterns Converge RAG solutions onto a shared platform Design sandbox standards for agentic workloads Own AI-DLC harness architecture and quality gates Route work across frontier and open-weight models DataSnipper · Posted Nov 5, 2026
Lead the design, implementation, and scaling of agentic automation systems for audit and finance, driving technical excellence and product impact.
Write production code for core runtime components Build proofs of concept for new agent capabilities Champion experimentation and R&D Build shared capabilities adopted by multiple teams Contribute to agent harness orchestration Nice to have: multi-agent orchestration Nice to have: durable long-running workflows Nice to have: retrieval and knowledge systems Nice to have: document processing Nice to have: OCR
Medical, Dental, Vision, and Life Insurance Short-Term and Long-Term Disability 401(k) match Flexible Spending Accounts Health Savings Accounts
Build models to calibrate & measure robustness
Lead telemetry analysis across GenAI workflows Bachelor's degree M.S. Ph.D. Nice to have: Tableau Nice to have: Apache Superset
Define and analyze observability metrics.
Lead telemetry analysis across GenAI workflows.
Build models to calibrate & measure robustness. Bachelor's degree M.S. Ph.D. Machine Learning Computer Science
Total Rewards Program including bonuses Flexible benefits Commissions Stock options World-class training program
Equity (Stock Appreciation Rights) Pension plan with 6% contribution 28 vacation days per year Hybrid work model Daily lunches
Founding Software EngineerNewClera · San Francisco, US
Agentic AI Product EngineerSimplex · Austin, US
Machine Learning Engineer, AI/ML Model QualityApple · Austin, US+3 more
Backend Engineer, InternationalisationStripe · Barcelona, Spain
AI Platform EngineerGiveCampus · Remote, US
Senior Director, AI ArchitectureRoyal Bank of Canada · Toronto, Canada
Staff Software EngineerDataSnipper · Amsterdam, Netherlands