🌿🦾 Let's translate that into activities?
- Translate product vision and business needs into scalable technical solutions, transforming ideas and canvases into clear, estimable, and executable implementation plans;
- Lead the definition of the technical architecture of the AI platform, ensuring scalability, reliability, maintainability, and sustainable evolution over time;
- Act as a technical reference for the team, supporting complex decisions, unlocking critical challenges, and raising the quality level of deliveries;
- Actively develop code in strategic features, proofs of concept, critical integrations, and high-impact technical initiatives;
- Design, implement, and evolve AI platforms in production, including agentic workflows, LLMs-based applications, and preparation for MCP (Model Context Protocol) servers;
- Define and uphold engineering standards, development best practices, code review, versioning, testing, CI/CD, and quality gates;
- Conduct technical and architectural reviews, evaluating trade-offs between innovation, stability, cost, and delivery time;
- Work closely with Product Managers and stakeholders to assess technical feasibility, scope, and prioritization, supporting strategic roadmap decisions;
- Manage stakeholders' technical expectations, communicating risks, limitations, dependencies, and impacts clearly and objectively;
- Ensure continuity of technical knowledge by documenting architectural decisions and supporting the transition from a contractor-dependent model to a more FTE-oriented team;
- Mentor engineers and data scientists in software engineering best practices, going beyond the traditional scope of data science;
- Work collaboratively with multidisciplinary teams, including agronomists, data scientists, engineering, and business, translating domain needs into technical solutions;
- Evaluate, test, and integrate new technologies, frameworks, and AI approaches in a pragmatic and value-oriented manner;
- Monitor the performance, reliability, and quality of solutions in production, promoting continuous improvements and optimizations;
- Act as a bridge between AI research, software engineering, and the delivery of digital products with real impact in the field.
📎📢 And what do you need to do this well?
- Solid and progressive experience in software development, with consistent performance in technical leadership;
- Experience leading architectural and technical decisions in medium to high complexity products or platforms;
- Track record of working in lean environments, with a high degree of autonomy, responsibility, and ambiguity;
- Strong ability to translate product and business requirements into well-structured and estimable technical solutions;
- Strong command of software engineering applied to distributed systems and products in production;
- Practical experience with developing and operating AI solutions, including LLMs and applications based on advanced models;
- Proven ability to design and evolve scalable architectures in cloud environments;
- Experience balancing hands-on code with high-level technical and architectural decisions;
- Familiarity or quick learning ability with emerging architectures, such as MCP (Model Context Protocol);
- Maturity to evaluate technical trade-offs between speed, quality, cost, and scalability
- Ability to establish technical standards that support growth without compromising agility;
- Experience in environments that require a high level of reliability, quality, and technical responsibility;
- Clear and structured communication with technical and non-technical audiences;
- Ability to influence technical and strategic decisions;
- Collaborative, solution-oriented attitude and focus on real impact;
- Genuine interest in applying AI to complex real-world problems;
- Curiosity to learn new domains and transform knowledge into technical solutions;
- Commitment to responsible, sustainable, and long-term engineering;
- Fluent English and strong communication skills to collaborate in a global environment.
🍀👀 Beyond the ecosystem, what do you gain from this?
We believe that good experiences start at home — that's why our benefits take care of you in every aspect: health, well-being, family, career, and quality of life.
- Health insurance with national coverage — no monthly fees for you or your dependents;
- Dental Plan;
- Conexa Saúde: psychological and nutritional counseling;
- Wellhub (Gympass): for you and your dependents to exercise your way.
- EAP (Employee Assistance Program): psychological, legal, and financial support;
- Daycare assistance;
- Extended maternity/paternity leave — because presence is also care.
- Food/Meal vouchers on the iFood Card;
- Extra flexible benefit also via iFood Card;
- Vidalink: 50% subsidy on prescription drugs at accredited pharmacies.
- Access to personal and technical development platforms;
- Life insurance;
- Partnership with SESC-MG to enjoy benefits in education, health, and well-being;
- Flexible hours, regardless of work model.