Overview
Provide technical leadership for the incubation of emerging business solutions—aimed at strengthening the value proposition and service offering at inter.mx, as well as contributing to its intellectual property—by exploring various technologies and tools (AI, data, AR, automation, etc.) to produce Proofs of Concept (PoCs).
Evaluate technologies, prototype with agility, and prepare the handover of solutions to the tribes responsible for scaling and operations.
Your Role and Responsibilities
What You’ll Do
– Research emerging trends (AI, RAG, AR, APIs, etc.)
– Evaluate tools/platforms with potential strategic impact to improve the user experience from contracting to using their coverage across the different channels where prospects and clients interact; as well as any tool that contributes to improving or optimizing internal operations.
– Translate technological opportunities into viable use cases.
- Proof of Concept (PoC) Leadership
– Design and build functional prototypes with the team, maintaining a focus on scalability for transfer to the respective teams.
– Facilitate rapid technical decisions with business acumen.
– Measure results and learnings, pivoting as needed.
- Transfer and Scaling
– Document scalable solutions.
– Coordinate handoffs with technology, product, or business teams.
– Support the transition to ensure technical continuity. 4. Innovation Management and Culture
– Work with a high degree of autonomy.
– Foster a «build fast, learn faster» culture.
– Collaborate closely with Product Strategists, Business Teams, Data, and other profiles within the organization.
Required Technical Skills
Backend
- Python (solid foundation): FastAPI / Django, Asynchronous Management, Testing (Pytest)
- Node.js: Express / NestJS, Middleware, Authentication (JWT, OAuth)
Frontend
- React: Advanced Hooks, Context / Redux, Complex State Management, Performance (lazy loading, memoization)
APIs
- RESTful API Design: Versioning, OpenAPI / Swagger, Security (CORS, rate limiting, authentication)
Expected Tech Lead Level: Not only knowing how to program, but also defining standards and reviewing architecture.
AI, Data, and LLMs
LLMs
- Integration with APIs such as OpenAI, Prompt engineering, Context and memory management, Response evaluation (RAG patterns)
Vector Databases
- Embedding concepts, Use of: Pinecone, Weaviate, RAG (Retrieval-Augmented Generation) architecture
- Basic MCP LLM knowledge
Dev, Cloud & Deployment
- Basic DevOps: CI/CD, Gitflow, Monitoring (logs, metrics), Environment management (dev, qa, prod)
Expected level: Design deployment strategy and technical governance.
Databases
Intermediate Database Management
Key Technical Skills of a Tech Lead
Beyond Specific Tools:
- Software Architecture (Clean Architecture, Hexagonal)
- Design Patterns
- Security (Basic OWASP)
- Advanced Code Review
- Technical Decision Making
- Evaluating New Technologies
- Scalability and Performance
- Best Practices (Clean Code)
- Error Handling and Logging
REQUIREMENTS
What This Role Requires
-
Programming Languages & Frameworks
- Python (FastAPI, Django)
- Node.js (Express, NestJS)
- React
API Development
- RESTful APIs
- OpenAPI / Swagger
- API Versioning
- Authentication & Authorization (JWT, OAuth)
- API Security (CORS, Rate Limiting)
Artificial Intelligence
- OpenAI API Integration
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Context & Memory Management
- Response Evaluation
Vector Databases
- Pinecone
- Weaviate
- Embeddings
- MCP (Model Context Protocol) – Basic Knowledge
DevOps & Cloud
- CI/CD
- GitFlow
- Environment Management (Dev, QA, Production)
- Monitoring (Logs & Metrics)
- Deployment Strategy
Software Engineering
- Clean Architecture
- Hexagonal Architecture
- Design Patterns
- Clean Code
- Code Reviews
- Error Handling & Logging
- Performance & Scalability
- OWASP Security Best Practices
Databases
- Intermediate Database Management
Technical Leadership
- Software Architecture Design
- Technical Decision Making
- Technology Evaluation
- Proof of Concepts (PoCs)
- MVP Development
- Technical Standards & Governance
- Agile Methodologies
Working at Motivus
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
