Senior AI Engineer

We are looking for a Senior AI Engineer with strong hands-on experience designing and building Generative AI and Agentic AI solutions within the Microsoft Azure ecosystem.

This is a highly technical role focused on building production-ready AI applications using Azure AI Foundry Microsoft Fabric agentic workflows RAG knowledge graphs embeddings and modern retrieval techniques.

The ideal candidate combines strong software engineering skills with practical experience building and evaluating LLM-powered applications. Experience in financial services is a plus but not required.

Key Responsibilities

• Design build and deploy production-ready Generative AI and Agentic AI applications using Azure AI Foundry.
• Develop agentic workflows using agents tools skills orchestration patterns and enterprise data sources.
• Build and optimize RAG architectures including retrieval grounding context management chunking embeddings and vector search.
• Design and implement graph-based approaches and knowledge graphs to enhance retrieval and reasoning.
• Work extensively with Microsoft Fabric and Azure data services to connect AI applications with enterprise data.
• Develop and integrate AI agents skills tools and APIs to support complex business workflows.
• Implement LLM and agent evaluation frameworks (evals) to measure quality accuracy relevance reliability and performance.
• Experiment with different models prompts retrieval strategies chunking approaches and agent architectures.
• Build reusable components and patterns for AI application development.
• Collaborate with Data Scientists Data Engineers Software Engineers and business stakeholders to translate use cases into scalable AI solutions.
• Troubleshoot and optimize AI applications across development and production environments.
• Contribute to architecture decisions technical documentation and engineering best practices.

Qualifications :

• Strong hands-on experience with Azure AI Foundry required.
• Hands-on experience building Agentic AI / agent-based workflows required.
• Strong practical experience with RAG architectures required.
• Experience with graphs or knowledge graph approaches required.
• Strong understanding and hands-on experience with chunking and embedding strategies required.
• Experience building and working with AI agents tools and skills required.
• Experience with LLM / AI evaluation (evals) required.
• Experience working with Microsoft Fabric or comparable Azure data platforms strongly preferred.
• Strong software engineering skills ideally with Python.
• Experience integrating LLM applications with APIs enterprise systems and data sources.
• Experience taking AI prototypes into production.
• Strong understanding of LLM application architecture and modern Generative AI patterns.

Nice to Have

• Experience in financial services banking lending insurance or related industries.
• Experience with Azure-native data and AI services.
• Experience with AI observability governance and responsible AI.
• Experience with CI/CD and cloud-native application development.
• Experience with multi-agent architectures.
• Experience with semantic search and vector databases.

Additional Information :

Our perks and benefits:

Learning Opportunities:

• Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans courses and additional certifications tailored to your role.
• Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.

Travel opportunities to attend industry conferences and meet clients.

Mentoring and Development:

• Career development plans and mentorship programs to help shape your path.

Celebrations & Support:

• Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
• Company-provided equipment.

Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.

Remote Work :

Yes

Employment Type :

Full-time