AI R&D SOFTWARE ENGINEER
AI R&D SOFTWARE ENGINEER

Thank you for your interest in this opportunity! Your application will only be considered complete after completing a digital assessment. At the end of the application process, and provided you meet the requirements for the role, you will receive a link by email to access it. This step is mandatory, as our recruitment process is based on competency assessment.
We are a company for everyone and by everyone. At MC, people are at the center of everything we do: customers, employees, and the community. We create value together, innovate every step of the way, and lead with proximity, recognizing each person's unique strengths. Different stories and ideas unite us around the same purpose: to grow and become the best version of ourselves. Because everything we are, we achieve together.
MC Digital is MC’s Information Technology area. We firmly believe that technology can revolutionize the retail sector, creating greater convenience and exceeding customer expectations. In this context, we are focused on maximizing the use of Artificial Intelligence across our products and technology systems, helping to accelerate MC’s digital transformation.
Would you like to learn more about what we do? Visit Caixa Central, the MC Digital blog and podcast: https://caixacentral.mcdigital.tech/.
For all these reasons, join us!
We are looking for an AI R&D Software Engineer to join our Labs & AI Transformation team at MC Digital, and we believe we will be #betterwithyou!
You can count on us to...
-
Conduct applied AI R&D across the team's different workstreams, such as SDLC.AI (AI-First Software Development) and AGENTS.AI (technology ecosystem for agent development), transforming hypotheses into measurable experiments and outcomes.
-
Design and execute model and agent evaluation techniques (evals), defining metrics, datasets, and success criteria aligned with our real-world tasks.
-
Benchmark both commercial and open-weight models against MC's reality, comparing quality, performance, latency, and cost across software development and business process use cases.
-
Track releases from communities and emerging models, deploying and testing them within our environment.
-
Prototype and evaluate agentic architectures, frameworks, SDKs, and low-code/no-code platforms, assessing their impact and scalability potential.
-
Explore model adaptation techniques (e.g., prompting, RAG, fine-tuning) to improve results in specific tasks.
-
Define and evolve the AI lab's tools and infrastructure that support continuous experimentation.
-
Share findings and recommendations with technical and business teams, supporting decisions on what to adopt and scale.
So, bring with you...
-
Degree in Computer Engineering, Data Science, Artificial Intelligence, or a related field.
-
3+ years of software development experience, with a track record of production systems.
-
Strong experience with Python and/or TypeScript/Node.js, adapting to different technology stacks.
-
Knowledge of LLMs and agent architectures (e.g., tool use, RAG, multi-agent orchestration).
-
Experience with model evaluation techniques (e.g., evals, LLM-as-a-judge, test datasets, quality and performance metrics).
-
Knowledge of local AI model deployments using open-source tools (Ollama, llama.cpp, vLLM, or similar).
-
Hands-on experience with coding agents such as Claude Code, GitHub Copilot, Codex, or equivalent tools.
-
Strong experimental mindset and critical thinking, capable of formulating hypotheses, measuring outcomes, and drawing conclusions from data.
-
Knowledge of Linux, Bash scripting, and SSH.
-
Experience with model fine-tuning, performance/load testing, and observability tools is valued.
-
Ability to communicate results to both technical and non-technical audiences, with a collaborative mindset.
-
Continuous growth mindset and active interest in emerging AI trends and the evolving ecosystem of models and agents.
What do we have for you?
Discover all our benefits in the areas of Health & Well-being, Compensation & Benefits, Family & Parenthood, Career Development, and Flexibility here.
#BETTERTOGETHER #BETTERWITHYOU
MC Sonae D&I Commitment:
We work to create a workplace built on the richness of diverse profiles and focused on individuality, ensuring that everyone feels respected, valued for their skills, and confident in the organization.

Thank you for your interest in this opportunity! Your application will only be considered complete after completing a digital assessment. At the end of the application process, and provided you meet the requirements for the role, you will receive a link by email to access it. This step is mandatory, as our recruitment process is based on competency assessment.
We are a company for everyone and by everyone. At MC, people are at the center of everything we do: customers, employees, and the community. We create value together, innovate every step of the way, and lead with proximity, recognizing each person's unique strengths. Different stories and ideas unite us around the same purpose: to grow and become the best version of ourselves. Because everything we are, we achieve together.
MC Digital is MC’s Information Technology area. We firmly believe that technology can revolutionize the retail sector, creating greater convenience and exceeding customer expectations. In this context, we are focused on maximizing the use of Artificial Intelligence across our products and technology systems, helping to accelerate MC’s digital transformation.
Would you like to learn more about what we do? Visit Caixa Central, the MC Digital blog and podcast: https://caixacentral.mcdigital.tech/.
For all these reasons, join us!
We are looking for an AI R&D Software Engineer to join our Labs & AI Transformation team at MC Digital, and we believe we will be #betterwithyou!
You can count on us to...
-
Conduct applied AI R&D across the team's different workstreams, such as SDLC.AI (AI-First Software Development) and AGENTS.AI (technology ecosystem for agent development), transforming hypotheses into measurable experiments and outcomes.
-
Design and execute model and agent evaluation techniques (evals), defining metrics, datasets, and success criteria aligned with our real-world tasks.
-
Benchmark both commercial and open-weight models against MC's reality, comparing quality, performance, latency, and cost across software development and business process use cases.
-
Track releases from communities and emerging models, deploying and testing them within our environment.
-
Prototype and evaluate agentic architectures, frameworks, SDKs, and low-code/no-code platforms, assessing their impact and scalability potential.
-
Explore model adaptation techniques (e.g., prompting, RAG, fine-tuning) to improve results in specific tasks.
-
Define and evolve the AI lab's tools and infrastructure that support continuous experimentation.
-
Share findings and recommendations with technical and business teams, supporting decisions on what to adopt and scale.
So, bring with you...
-
Degree in Computer Engineering, Data Science, Artificial Intelligence, or a related field.
-
3+ years of software development experience, with a track record of production systems.
-
Strong experience with Python and/or TypeScript/Node.js, adapting to different technology stacks.
-
Knowledge of LLMs and agent architectures (e.g., tool use, RAG, multi-agent orchestration).
-
Experience with model evaluation techniques (e.g., evals, LLM-as-a-judge, test datasets, quality and performance metrics).
-
Knowledge of local AI model deployments using open-source tools (Ollama, llama.cpp, vLLM, or similar).
-
Hands-on experience with coding agents such as Claude Code, GitHub Copilot, Codex, or equivalent tools.
-
Strong experimental mindset and critical thinking, capable of formulating hypotheses, measuring outcomes, and drawing conclusions from data.
-
Knowledge of Linux, Bash scripting, and SSH.
-
Experience with model fine-tuning, performance/load testing, and observability tools is valued.
-
Ability to communicate results to both technical and non-technical audiences, with a collaborative mindset.
-
Continuous growth mindset and active interest in emerging AI trends and the evolving ecosystem of models and agents.
What do we have for you?
Discover all our benefits in the areas of Health & Well-being, Compensation & Benefits, Family & Parenthood, Career Development, and Flexibility here.
#BETTERTOGETHER #BETTERWITHYOU
MC Sonae D&I Commitment:
We work to create a workplace built on the richness of diverse profiles and focused on individuality, ensuring that everyone feels respected, valued for their skills, and confident in the organization.