job specification

• Technical Lead, AI and Engineering
• 100% Remote LATAM

This is a combination of Lead, Front end - React and Next JS hands on development, and Generative AI

Candidates should have been at a Lead capacity overseeing multiple projects. They could be a people manager as well - but should be hands on with development

Candidates have to clear React Hacker Rank coding test

Our client is building a scalable, AI-enabled platform that helps founders turn ideas into real ventures. As a Tech Lead, you’ll play a key role in shaping the core architecture and AI infrastructure, with real ownership over how the platform is designed, built, and scaled.

Job Description

Job Summary:

Lead development and implementation of complex information technology projects and architecture to solve problems with wide impact, requiring high levels of functional integration.

The Technical Lead acts as the primary architectural authority and engineering manager for the platform. This hands-on role is responsible for architecting scalable technical solutions, managing the engineering team, and working closely with the Product Team and Business Leadership to build AI-powered tools that deliver measurable value.

Job-Specific Responsibilities:

Technical Architecture & Strategy

• Architect, design, and provide hands-on contribution to the development and deployment of scalable, secure, and maintainable technical solutions that support business goals and product initiatives.
• Make technical design choices and follow technical standards, including cyber security, software languages, tools, and infrastructure.
• Balance fast, lean innovation with practical implementation, technical feasibility, technical debt, and system stability in production environments.
• Evaluate emerging AI technologies and determine their applicability to platform needs and understand risk mitigation strategies.

Engineering Leadership & Priorities

• Manage the engineering team in alignment with product roadmap and critical deadlines.
• Translate business and product requirements into detailed technical specs and engineering tasks.
• Mentor software developers, conduct code reviews, and ensure high-quality coding.
• Oversee the software product development lifecycle, including MLOps, CI/CD pipelines, testing frameworks, and release management, as well as data pipelines, and governance.

Product Collaboration

• Partner with the Product Team, Designers, and Business Director to align on strategic priorities, estimate development effort, and define timelines.
• Communicate complex technical concepts and trade-offs to non-technical stakeholders including executives and customers.

Ethics & Risk Management

• Ensure responsible data management and AI practices (fairness, transparency, and data privacy) and ensure governance frameworks for AI model deployment and monitoring.
• Navigate regulatory requirements, security needs, and compliance consideration.

Other Responsibilities:

• Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.
• This role is responsible for other duties as assigned.

Qualifications

Basic Qualifications:

• Minimum of seven years’ post-secondary education or relevant work experience

Additional Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field
• 8+ years of Software Engineering (ideally AI-focused) experience, including 2+ years in a Lead Engineer, Architect, or equivalent technical leadership role

Core Technical Expertise:

Deep understanding of and strong hands-on experience with:

• Application & Product Engineering
• Modern web application architecture, including frontend, middleware, backend, and full-stack development
• Languages and frameworks including Python, TypeScript/JavaScript, NextJS, React, Node.js, and SQL
• APIs, Services & Data
• Microservices and API design, including REST and GraphQL
• Asynchronous and event-driven systems
• Authentication and authorization
• Data and storage systems (relational, NoSQL, and vector databases)
• Cloud Platforms & Infrastructure
• Cloud-native and distributed systems design
• Containerization and orchestration (e.g., Terraform, Docker)
• AWS , including Bedrock, SageMaker, EC2, Lambda, S3, RDS, and IAM
• Additional cloud platforms (Azure, GCP) and cloud-agnostic design principles
• DevOps, MLOps & Delivery
• CI/CD pipelines and infrastructure as code
• Model deployment, monitoring, and operational reliability
• AI & LLM Systems
• AI/ML tools and frameworks (e.g., LangGraph) and production-grade API integrations
• Design, deployment, and evaluation of LLM-powered systems, including prompt engineering and retrieval-augmented generation (RAG) architectures

If inteerested please connect me over the whats app no. 9146731834 or reply through the mail.