AI Tech Lead

Lets 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.

Qualifications :

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.

Additional Information :

Beyond the ecosystem what do you gain from this

We believe that good experiences start at home thats 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.

Remote Work :

Yes

Employment Type :

Full-time