AI Full-Stack Engineer / Founding Engineer Base Salary: $100,000 – $140,000 Location: Hangzhou / Silicon Valley / Remote (Flexible) Industry: AI-Powered Products About the Role We’re not hiring someone to just execute tasks. We’re looking for a Founding-level AI Full-Stack Engineer who can think like a co-founder — define the product, architect solutions, build fast, and ship impactful features from day one. You’ll work directly with the founder to shape an AI-native product from the ground up, blending strong full-stack engineering with deep AI integration. What You’ll Do - Own core web and app features end-to-end — from ideation to deployment and rapid iteration. - Design and build scalable full-stack architecture, including APIs, databases, and modern frontend systems. - Integrate advanced AI capabilities such as LLMs, RAG, AI agents, and intelligent workflows. - Leverage AI tools aggressively to supercharge your own development speed and quality. - Think from the user’s perspective, prioritize ruthlessly, and help evolve the product vision. What We’re Looking For - Strong full-stack engineering skills with the ability to independently own features from start to finish. - Proficiency in React / Next.js (or equivalent modern frontend frameworks). - Solid experience with at least one backend stack: Python, Node.js, or Go. - Real hands-on experience building AI-powered products — not just calling OpenAI APIs. - Excellent product sense and the ability to balance technical excellence with user impact. - A builder mindset who thrives in ambiguity and moves quickly. Nice to Have - 0→1 startup experience or history of shipping independent products. - Background with consumer or subscription-based applications. - A strong public GitHub portfolio showcasing meaningful projects. - Fluent English for smooth collaboration. Compensation & Benefits - Base Salary: $100,000 – $140,000 USD (depending on experience and location) - Equity: Significant equity for founding team members - Flexible remote or hybrid options (Hangzhou, Silicon Valley, or fully remote) If you’re a high-agency engineer who loves building AI products from scratch, iterating rapidly, and wearing multiple hats, this is an exciting opportunity to join early and have massive ownership. Equal Employment Opportunity TopTechTalent.ai believes that all persons are entitled to equal employment opportunities. TopTechTalent.ai recruits, hires, trains, promotes, disciplines and provides other conditions of employment without regard to a person's race, color, ethnicity, religion, gender, gender identity, or expression, age, national origin, citizenship status, disability, veteran's status, sexual orientation, marital status or other classifications protected under law or Company policy. This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices. The government requires TopTechTalent.ai to maintain information on those who seek employment with the company, including their race and sex. Accordingly, to help us comply with this requirement, we encourage you to provide us with the following self-identification information. However, submission of this information is voluntary and refusal to provide it will not affect your opportunity for employment or terms and conditions of employment, if hired. If you do submit this information, it will be kept confidential and will be used in the compilation of data for reporting requirements. 🚫 Third-party recruiters, please do not reach out for this role.

ABOUT REDCAN & THE ROLE: Redcan is at the forefront of building agentic AI products and tools that enable our customers to scale their product deployment capability by orders of magnitude, transforming their business and accelerating time to value while reducing cost and complexity of delivering enterprise software products. We’re seeking a Staff Software Engineer to join our growing technical team. This role enables you to shape the future of agentic AI products: intelligent, autonomous systems that anticipate user needs and adapt in real-time to support workflow journeys. You’ll collaborate with a high-performing, seasoned team of engineers, product management and design team members to continue to build our product stack to deliver on our product roadmap and fulfil Redcan’s vision. Depending on your background, experience, and interests, you’ll contribute to the product architecture, functionality, and features, and maintain production-grade software systems across multiple products and domains. For the entrepreneurially minded, you will have the opportunity to collaborate with portfolio companies and build relationships and innovate within the VC and PE ecosystem. KEY RESPONSIBILITIES & OUTCOMES: Technical Mastery - Develop robust, scalable applications using TypeScript (React frontend, Node.js backend) - Implement containerized deployments using Docker; apply Infrastructure as Code, where appropriate. - Write maintainable, well-tested code following Redcan’s engineering rubrics for quality and reliability. - Continuously learn and adapt to emerging technologies (AI integration, automation, and distributed systems). - Outcome: Deliver performant, secure, and maintainable software systems that scale effectively across portfolio companies. Impact & Ownership - Lead technical discovery sessions with stakeholders to understand business requirements and translate them into actionable engineering solutions. - Drive project planning and execution across teams, breaking down complex initiatives into deliverable milestones while managing dependencies and risks. - Take end-to-end ownership of features and initiatives, from identifying user problems through ideation, design, implementation, and ongoing maintenance. - Propose and advocate for technical solutions that balance user needs, business objectives, and engineering constraints. - Own the full software lifecycle including post-deployment monitoring, performance optimization, and iterative improvements based on user feedback and system metrics. - Collaborate cross-functionally to ensure seamless integration between frontend experiences, backend services, and third-party systems. - Make data-driven decisions about feature prioritization, technical trade-offs, and system evolution to maximize customer value and business impact. - Proactively identify and address technical debt, scalability bottlenecks, and operational inefficiencies before they impact user experience. - Take accountability for system reliability, including incident response, root cause analysis, and implementation of preventive measures. - Champion user-centric thinking throughout the development process, ensuring solutions solve real problems and deliver measurable value. - Outcome: Consistent delivery of high-impact features that drive customer success, with clear ownership accountability from conception through long-term maintenance and evolution Communication & Collaboration - Work closely with a multi-disciplinary team (product, design) to translate requirements into actionable development plans. - Provide and receive constructive feedback through code reviews and design discussions. - Communicate progress, risks, and recommendations clearly to both technical and non-technical stakeholders. - Collaborate with multiple portfolio companies, adapting to diverse working styles and priorities. - Outcome: Strong alignment across teams, reduced friction in delivery, and clear visibility into engineering progress. Leadership & Mentoring - Support peers and early-career engineers through pairing, feedback, and knowledge sharing. Strive to have a meaningful, positive influence on their career growth. - Model Redcan’s culture of rigor, curiosity, and continuous improvement. - Participate in recruiting and onboarding by evaluating candidates against Redcan’s competency rubrics. - Lead initiatives across teams, setting technical direction and ensuring execution quality. - Outcome: A continuously developing engineering organization where individuals grow in skill and confidence. Strategic Thinking - Connect day-to-day engineering work to Redcan’s broader business objectives. - Contribute to technical roadmaps and long-term system evolution plans. - Identify opportunities for automation, scalability, and innovation within our engineering and partner ecosystems. - Ensure design and implementation choices position Redcan for future growth. - Outcome: Technology decisions consistently support Redcan’s mission to deliver scalable, high-value solutions. Market & Customer Insight - Understand the market context and business models of portfolio companies. - Participate in customer-facing sessions when needed to validate requirements or gather feedback. - Apply empathy and insight to ensure technical decisions enhance end-user experience and client success. - Stay informed about emerging industry trends, tools, and frameworks relevant to venture-backed startups. - Outcome: Solutions not only meet technical requirements but also strengthen customer value and business differentiation. QUALIFICATIONS - Bachelor’s degree in Computer Science, Engineering, or equivalent education or work experience. - 8+ years of full-stack or backend experience; exposure to customer-facing communication and stakeholder collaboration; and demonstrated leadership in project or team contexts. - Proven experience in strongly-typed programming environments. - Exposure to scalable system design, cloud-native architectures, and DevOps workflows. - Demonstrated initiative, ownership, and communication excellence. - Must be authorized to work in Canada, without sponsorship. - Strong experience with current state AI-driven tools, LLM APIs, AI-enabled code development tools, or machine-learning-adjacent development. - Strong preference for recent experience designing and improving SDLC workflows with AI-enabled tools, AI-enabled transformation efforts, and AI-tool evangelism working across teams and organizations. PREFERRED TECHNICAL SKILLS - Languages: TypeScript, JavaScript, Python (and / or familiarity with C#, Java, C, or other strongly-typed languages). - Frameworks: Frontend experience with React, backend experience with Node.js (Express, NestJS or similar). - Databases: Experience with modern relational or NoSQL systems (MySQL, PostgreSQL, DynamoDB, etc.). - DevOps, CI/CD & Infrastructure: Familiarity with containerization using Docker, CI/CD pipelines (GitHub Actions), and infrastructure as codetools (AWS CDK, CloudFormation). - Version Control: Strong working knowledge of Git workflows. - Bonus: Exposure to AI technologies or APIs that interface with LLMs or ML systems, and experience with agent orchestration tools. OUR COMMITMENT TO INCLUSION Redcan is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We are building products for a diverse world and are committed to building and fostering an environment where our employees feel included, valued, and heard.. We strongly encourage applications from racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, provincial, or local laws in the regions we operate. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, or internships. We thank all applicants in advance for applying. Only individuals selected for interviews will be contacted. Staffing Firms: We do not accept unsolicited submissions. All firms must have valid agreements in place before any search engagements are considered.

Excellent opportunity to work REMOTELY with a U.S.-based company. Candidates living in Mexico, or all LATAM are welcome to apply. About the Company Bydrec, Inc. is a California-based company that connects top Tech talent from Latin America with U.S. companies looking to expand their development teams. Learn more at bydrec.com. About the Role We’re looking for a Senior Python Engineer to help shape the next generation of intelligent products on our ML/AI team. You’ll design and build the systems that bring machine learning and generative AI out of the lab and into the hands of real users, from scalable cloud-native backends to the APIs and interfaces that make AI accessible. This isn’t a research-only role. You’ll own the full lifecycle, prototyping new ideas, architecting production-grade services on Google Cloud Platform, and shipping features that customers interact with every day. If you love working at the intersection of software engineering and AI, and you want your code to have an immediate, visible impact, this is your role. Responsibilities: Build & Ship AI-Powered Products - Design, develop, and deploy production ML/AI services end-to-end, from model integration through client-facing APIs. - Build event-driven, real-time architectures using Cloud Functions, Cloud Run, Kubernetes, Pub/Sub, and similar GCP services. - Integrate transformer-based models and LLMs into scalable inference pipelines, handling prompt engineering, output formatting, and graceful error recovery. - Write clean, well-tested Python backends that power seamless full-stack experiences. Own the Architecture - Lead design sessions and whiteboarding, translating product requirements into robust technical architectures. - Drive projects from concept to production with minimal handholding; set pace, raise the bar. - Champion engineering best practices: CI/CD, observability, testing, infrastructure-as-code. Collaborate & Communicate - Partner closely with other engineers, product owners, and data scientists to align priorities and deliver iteratively. - Translate AI concepts into clear, actionable plans so non-tech stakeholders can rally behind. - Participate in code reviews, architecture discussions, and knowledge-sharing sessions. Technical Requirements: Must-Haves: - 4–6+ years of professional backend or full-stack software engineering experience with a strong Python focus. - Proven track record designing and deploying cloud-native applications (GCP strongly preferred; AWS/Azure considered). - Hands-on experience building resilient, event-driven microservices and RESTful/gRPC APIs. - Solid understanding of containerization (Docker), orchestration (Kubernetes), and serverless paradigms. - Strong experience with SOLID design principles. - Good communicator who thrives in cross-functional, agile teams. - Comfort using AI tools to accelerate development throughput. - Advanced English communication skills. Good to Have: - Experience deploying and serving ML models or LLMs in production. - Familiarity with prompt engineering, retrieval-augmented generation (RAG), vector search, or fine-tuning workflows. - Exposure modern AI orchestration frameworks (LangChain, Google ADK, etc). - Experience with infrastructure-as-code tools (Terraform, Pulumi) and CI/CD pipelines. - Bachelor's degree in computer science, or a related field (or equivalent practical experience).

• Design and implement AI agents and multi-agent systems for real-world business use cases. • Build and maintain agentic workflows, including orchestration, tool usage, and inter-agent communication. • Develop integrations between agents and enterprise systems (APIs, databases, SaaS platforms). • Work with semantic layers and contextual data models to improve agent reasoning and performance. • Implement and manage MCP-like architectures, ensuring proper context sharing and tool connectivity. • Collaborate with data and platform teams to leverage Databricks and modern data stacks. • Ensure solutions are production-ready, scalable, and aligned with governance and security requirements. • Translate business problems into agent-based AI solutions with clear technical execution paths. • Stay up to date with the latest advancements in agentic AI frameworks and LLM ecosystems.