[All remote jobs](https://jobicy.com/jobs.md)[![Enumerate logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/6e6da5ac-221.png)](https://jobicy.com/company/enumerate.md)[Enumerate](https://jobicy.com/company/enumerate.md) # Tech Lead AI Summary This remote contract Tech Lead role owns the architecture and delivery of production-ready AI product capabilities for a cross-functional AI pod. The position bridges product management, data science, and engineering to turn model outputs into scalable APIs, services, and customer-facing features. It requires hands-on expertise in Python, backend engineering, cloud-native systems, observability, data pipelines, and model operationalization. The role emphasizes rapid prototyping and MVP delivery while maintaining security, reliability, responsible-AI guardrails, and production quality.[Apply for this job](#job-application)[View company](https://jobicy.com/company/enumerate.md)ShareRemote from[LATAM](https://jobicy.com/job-region/latam.md)SalaryUSD 3,500–4,500 / moDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentContractExperienceSeniorPublished4 Nov 2026Apply before4 Dec 2026Listing views28Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. The Tech Lead is responsible for translating product ideas and data science capabilities into production-ready AI solutions. This role partners closely with Product Management and the Data Science Leader to rapidly design, prototype, and ship AI-driven features that deliver measurable business value. This is a highly hands-on technical leadership role focused on speed, pragmatism, and production quality, balancing experimentation with scalable engineering practices. This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment. Key Responsibilities AI Solution Delivery & Architecture * Lead the technical design and implementation of AI-powered product features from concept through production. * Own end-to-end architecture for AI solutions, including data flows, model integration, APIs, and application integration. * Make pragmatic decisions to accelerate delivery while maintaining system integrity. * Ensure AI solutions are secure, observable, scalable, and aligned with platform standards. Pod Leadership & Execution * Act as the technical lead for a cross-functional AI Pod. * Break down product requirements into executable technical workstreams and prototypes. * Guide rapid iteration cycles, proofs-of-concept, and MVPs, balancing experimentation with production readiness. * Review code, architecture, and technical decisions to maintain quality and velocity. Product & Data Collaboration * Partner closely with Product Management to shape problem definitions, success metrics, and delivery plans. * Collaborate with the Data Science Leader to integrate models, analytics, and data assets into product workflows. * Translate data science outputs into consumable APIs, services, and product features. * Provide technical feedback on feasibility, scope, and tradeoffs during product discovery. Operationalization & Quality * Ensure features are production-grade, including monitoring, logging, and performance tracking. * Implement guardrails around AI usage, including reliability, latency, cost controls, and failure modes. * Support experimentation frameworks, A/B testing, and post-launch learning loops. * Drive responsible AI practices, including explainability, bias awareness, and data privacy considerations. Technical Standards & Enablement * Define and enforce lightweight engineering standards for AI-enabled systems. * Promote reuse of components, prompts, pipelines, and services across AI initiatives. * Mentor pod engineers on AI-adjacent system design and best practices. * Contribute to internal documentation and shared AI patterns/playbooks. Required Qualifications * BS or MS in Computer Science, Engineering, or related technical field. * 5+ years of software engineering experience, including leading complex systems. * Strong experience designing and building production APIs and backend services. * Proficiency in Python and at least one backend language (e.g., Java, Node.js, Go). * Experience with cloud-native architectures (AWS, GCP, or Azure). * Solid understanding of data pipelines, model serving, and system observability. * Ability to work closely with product teams in fast-moving, iterative environments. Preferred Qualifications * Experience working in AI-first or data-driven product teams. * Familiarity with modern LLM platforms, prompt engineering, and agent frameworks. * Experience operationalizing ML models (model serving, monitoring, versioning). * Exposure to experimentation platforms, feature flags, and A/B testing. * Experience in Agile or product-led development environments. Total monthly compensation: $3,500—$4,500 USD Show more [Apply now >](https://jobicy.com/jobs/159001-tech-lead.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role combines senior technical leadership with end-to-end accountability for AI architecture, delivery speed, and production reliability. It requires making high-impact tradeoffs across product, data science, infrastructure, and engineering quality. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per month)Below market$4,000US market range (per month)$4.50k–$6.50k0$7.15k AI insightThe monthly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly states total monthly compensation of USD 3,500–4,500, with a midpoint of USD 4,000 per month. Estimated monthly market compensation for a LATAM-based contract AI Tech Lead is USD 4,500–6,500; this is an AI estimate rather than verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Backend development](https://jobicy.com/jobs?search_keywords=Backend%20development.md)[API design](https://jobicy.com/jobs?search_keywords=API%20design.md)[AI solution architecture](https://jobicy.com/jobs?search_keywords=AI%20solution%20architecture.md)[Cloud-native architecture](https://jobicy.com/jobs?search_keywords=Cloud-native%20architecture.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[GCP](https://jobicy.com/jobs?search_keywords=GCP.md)[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[Model serving](https://jobicy.com/jobs?search_keywords=Model%20serving.md)[System observability](https://jobicy.com/jobs?search_keywords=System%20observability.md)[LLM platforms](https://jobicy.com/jobs?search_keywords=LLM%20platforms.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Agile development](https://jobicy.com/jobs?search_keywords=Agile%20development.md) Sample interview questionsHow would you take an AI feature from a product idea to a production release?I would first align with product and data science on the user problem, success metrics, data constraints, and acceptable risks. I would design a thin vertical slice that validates the highest-risk assumptions, then define service boundaries, API contracts, observability, security controls, and rollout criteria. After validating performance and reliability, I would use feature flags and monitoring to release incrementally and iterate from production feedback. How do you balance rapid experimentation with production engineering standards? I separate exploratory work from production paths while ensuring experiments have clear hypotheses, measurable outcomes, and defined exit criteria. I prioritize lightweight reusable components, automated tests for critical paths, logging, cost controls, and documented interfaces. This allows the team to move quickly without allowing prototypes to become unmaintainable production dependencies. What practices would you use to operationalize an ML or LLM-based service? I would implement versioned models or prompts, reproducible deployment pipelines, input and output validation, latency and error monitoring, and quality evaluation datasets. I would also track model drift or behavioral regressions, establish fallback behavior, and monitor cost and safety signals. For LLM use cases, I would include prompt governance, guardrails, and human-review paths where risk warrants them. Describe how you would collaborate with a data science leader and product manager on feasibility tradeoffs. I would translate product goals into technical options with explicit tradeoffs across accuracy, latency, cost, delivery time, and operational complexity. With the data science leader, I would clarify model assumptions, data readiness, and evaluation metrics; with product, I would identify the smallest valuable release. I would document decisions and recommend a path that meets business needs while leaving room for iteration. How do you ensure an AI service remains reliable after launch? I define service-level indicators for availability, latency, error rates, quality, and cost before launch. I add structured logging, tracing, dashboards, alerts, rate limits, fallback responses, and incident runbooks. Post-launch, I review usage and outcome data regularly, run controlled experiments, and prioritize improvements based on user impact and operational evidence. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Enumerate logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/6e6da5ac-221.png) Enumerate Nov 4 New ### [Full Stack Developer](https://jobicy.com/jobs/158997-full-stack-developer.md) Enumerate is hiring a Full Stack Engineer to join our team! 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