Senior AI Engineer - Applied Data

At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior AI Engineer - Applied Data to join an agile, collaborative team where your voice matters as much as your code.

You make the accelerators produce output that is correct, idiomatic, and adopted on the stacks our clients actually run. You encode what "good" looks like for each platform into validators and evals, build the platform adapters, and make the accelerators fit how delivery teams really work.

We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here.

National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated.

💪 What will you own

• The platform adapters that target each design partner's stack (Databricks, Snowflake, BigQuery, AWS), and the abstraction that emerges once a second stack forces it.
• The domain side of the evaluation and verification layer: encoding each platform's idioms and correctness rules so generated output can be trusted.
• The high-value generation targets with partners: ingestion and pipelines, transformation logic, warehouse and catalog scaffolding, orchestration, IaC and CI/CD, and the governance accelerators where partner pain is real (contracts, lineage, metadata, PII, data quality).
• The fit into real delivery: reviewable diffs, integration with partner workflows, the path to adoption.

At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior AI Engineer - Applied Data to join an agile, collaborative team where your voice matters as much ...

🌿 We're Looking for Someone Who...

• Has Senior-Level Impact: You bring a minimum of 5 years as a data engineer with a track record of end-to-end delivery in fast-paced environments.
• Values Collaboration: You have professional fluency in English , are an excellent collaborator between developers and leadership, and have the ability to guide others.
• Embraces Engineering Best Practices: You have a solid understanding of engineering and architectural principles , and you are comfortable collaborating on CI/CD workflows and using version control (Git)

🛠 Your Technical Toolkit:

• Strong production software engineering: Python, testing, CI/CD, REST, Docker. You build reusable products, not one-off pipelines.
• Real depth in modern cloud data platforms: You have gone deep on at least one of Databricks/Spark, Snowflake, or BigQuery, are strong in SQL and data modelling, and can reason confidently across the others and pick up a partner's stack fast.
• Enough AI engineering to be a full builder on an agentic system: prompt design, structured outputs, function calling, and evaluation, with the Anthropic and OpenAI APIs. You co-own the AI work, you do not just hand requirements to your AI-systems counterpart.
• Code-as-data fluency: codegen, templating, validating and parsing generated code, producing reviewable output.
• You work close to delivery teams and design partners, and you care that the thing gets used.

💬 Recruitment Stages

• Screening - Reviewing CVs and eligibility verification.
• 1st Call - 30 minute call to access Technical & Culture Fit with IT Recruiter.
• Tech Interview - 2 hour call with two of our Cloud Engineers to assess your technical knowledge in depth. The interview includes a theoretical section based on test-case scenarios as well as live practical exercises
• Cultural Interview - 1-hour call with a Minder to assess cultural fit with Mindera and align expectations for both parties.
• Project/Client Call - A 30 minute to 1 hour call with the client or project team to assess your technical fit for a specific project and align expectations.

At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior AI Engineer - Applied Data to join an agile, collaborative team where your voice matters as much as your code.

You make the accelerators produce output that is correct, idiomatic, and adopted on the stacks our clients actually run. You encode what "good" looks like for each platform into validators and evals, build the platform adapters, and make the accelerators fit how delivery teams really work.

We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here.

National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated.

💪 What will you own

• The platform adapters that target each design partner's stack (Databricks, Snowflake, BigQuery, AWS), and the abstraction that emerges once a second stack forces it.
• The domain side of the evaluation and verification layer: encoding each platform's idioms and correctness rules so generated output can be trusted.
• The high-value generation targets with partners: ingestion and pipelines, transformation logic, warehouse and catalog scaffolding, orchestration, IaC and CI/CD, and the governance accelerators where partner pain is real (contracts, lineage, metadata, PII, data quality).
• The fit into real delivery: reviewable diffs, integration with partner workflows, the path to adoption.

At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior AI Engineer - Applied Data to join an agile, collaborative team where your voice matters as much ...

🌿 We're Looking for Someone Who...

• Has Senior-Level Impact: You bring a minimum of 5 years as a data engineer with a track record of end-to-end delivery in fast-paced environments.
• Values Collaboration: You have professional fluency in English , are an excellent collaborator between developers and leadership, and have the ability to guide others.
• Embraces Engineering Best Practices: You have a solid understanding of engineering and architectural principles , and you are comfortable collaborating on CI/CD workflows and using version control (Git)

🛠 Your Technical Toolkit:

• Strong production software engineering: Python, testing, CI/CD, REST, Docker. You build reusable products, not one-off pipelines.
• Real depth in modern cloud data platforms: You have gone deep on at least one of Databricks/Spark, Snowflake, or BigQuery, are strong in SQL and data modelling, and can reason confidently across the others and pick up a partner's stack fast.
• Enough AI engineering to be a full builder on an agentic system: prompt design, structured outputs, function calling, and evaluation, with the Anthropic and OpenAI APIs. You co-own the AI work, you do not just hand requirements to your AI-systems counterpart.
• Code-as-data fluency: codegen, templating, validating and parsing generated code, producing reviewable output.
• You work close to delivery teams and design partners, and you care that the thing gets used.

💬 Recruitment Stages

• Screening - Reviewing CVs and eligibility verification.
• 1st Call - 30 minute call to access Technical & Culture Fit with IT Recruiter.
• Tech Interview - 2 hour call with two of our Cloud Engineers to assess your technical knowledge in depth. The interview includes a theoretical section based on test-case scenarios as well as live practical exercises
• Cultural Interview - 1-hour call with a Minder to assess cultural fit with Mindera and align expectations for both parties.
• Project/Client Call - A 30 minute to 1 hour call with the client or project team to assess your technical fit for a specific project and align expectations.