Senior AI Engineer
Senior AI Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Key Responsibilities:
- Design develop and deploy AI models and solutions.
- Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
- Utilize and integrate AI frameworks like LangChain and LlamaIndex.
- Build and manage agentic frameworks such as CrewAI and AutoGen.
- Apply MLOps best practices to streamline AI development workflows.
- Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
- Work on end-to-end software engineering for scalable solutions.
Qualifications :
- Proficiency in cloud AI services (AWS Azure 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.
- Bonus:
- Experience with Streamlit for interactive web applications.
- Experience with Snowflake AI and Databricks AI Tools.
What about languages
You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have
In order to thrive in this role you must have at least 4 years of experience as an AI Engineer or similar.
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.
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.
So what are the next steps
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and well explore working together!
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
