Senior AI Engineeer

We are seeking a Senior AI Engineer to join a high-impact delivery team supporting the productionization of advanced AI solutions for enterprise clients. This role is ideal for someone with strong hands-on experience building scalable AI applications particularly in generative AI and who can take early-stage prototypes and transform them into secure reliable production-ready systems.

The Senior AI Engineer will work closely with an on-site innovation team that develops initial proofs of concept and prototype solutions. Once those solutions are validated they will transition to the Delivery Center team where this role will be responsible for engineering them into robust scalable applications suitable for enterprise production environments. This includes designing architecture improving performance implementing best practices and ensuring operational readiness.

Key Responsibilities

• Take AI prototypes and pilot solutions developed by on-site teams and lead their end-to-end production implementation.
• Design build and maintain scalable AI applications using Python as the primary programming language.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases including document retrieval knowledge orchestration and contextual response generation.
• Build and manage agentic workflows including multi-step autonomous agents tool integration and orchestration frameworks.
• Deploy AI services in cloud-native environments primarily on Microsoft Azure ensuring reliability scalability and security.
• Integrate and operationalize large language models from platforms such as OpenAI and Anthropic (including Claude models).
• Collaborate across engineering architecture and client-facing teams to align technical implementation with business objectives.
• Contribute to full-stack development when needed including APIs backend services and front-end integration for AI-powered applications.
• Apply software engineering best practices including testing CI/CD observability and performance optimization for AI systems.

Qualifications :

• 5 years of software engineering experience with significant recent experience in AI/ML engineering and generative AI applications.
• Strong proficiency in Python and modern backend development practices.
• Proven experience designing and implementing RAG architectures in production environments.
• Hands-on experience with agentic AI workflows orchestration frameworks and tool-using autonomous systems.
• Experience working with LLM APIs such as those from OpenAI and Anthropic.
• Strong cloud experience with Microsoft Azure including deployment infrastructure and managed AI services.
• Full-stack engineering experience with the ability to work across backend services and front-end integration layers.
• Experience taking solutions from prototype to production including scaling hardening and operational support.

Preferred Qualifications

• Experience with containerization and orchestration technologies (Docker Kubernetes).
• Familiarity with vector databases embeddings and semantic search architectures.
• Knowledge of enterprise security and governance considerations for AI systems.
• Experience in consulting or delivery-center models supporting global teams.

What about languages

Advanced English proficiency required.

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 :

No

Employment Type :

Full-time