Gen AI Engineer

We are looking for an AI Enginee r with hands-on experience designing and deploying scalable AI this role you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG) agentic frameworks and end-to-end MLOps workflows.

Youll play a key role in developing AI applications using tools like LangChain CrewAI and Google ADK while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals.

What is this position about

• Design develop and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.
• Experience in cloud AI services (Azure AWS Google Cloud etc.).
• Strong understanding of machine learning concepts and traditional AI concepts.
• Experience with MLOps tools and practices (e.g. model deployment monitoring).
• Solid programming skills in Python or other relevant languages.
• Excellent problem-solving skills and the ability to work in a collaborative environment.

Qualifications :

Additional Information :

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

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Experience : years

Vacancy : 1