Senior AI Engineer

Required for this role

7+ years of professional software engineering or application development experience, with strong proficiency in Python and experience building production-grade applications.

Strong understanding of artificial intelligence, machine learning, and generative AI concepts.

Hands-on experience with LLMs and AI frameworks such as OpenAI, Anthropic, LangChain, or LlamaIndex.

Experience designing and implementing REST APIs, backend services, distributed applications, and scalable software architectures.

Practical experience with vector databases, embeddings, semantic search, and RAG implementations.

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Strong knowledge of software architecture, object-oriented programming, data structures, and design patterns.

Experience working with relational and/or NoSQL databases.

Familiarity with Git, CI/CD pipelines, automated testing, and modern software development practices, combined with strong troubleshooting and problem-solving skills.

Ability to work independently and collaborate effectively with technical and non-technical stakeholders.

Upper-Intermediate English

Your responsibilities

Design, develop, and deploy AI-powered applications and services using LLMs, generative AI, and other machine learning technologies.

Build AI agents, intelligent workflows, and automation solutions, integrating AI models and services with enterprise applications, APIs, and platforms.

Design scalable backend services and microservices that support AI workloads in Kubernetes environments.

Build solutions using vector databases, embeddings, semantic search, and RAG architectures.

Evaluate, fine-tune, and optimize AI models for performance, accuracy, scalability, and cost efficiency.

Develop RESTful APIs and services that expose AI capabilities to internal and external applications.

Implement security, monitoring, logging, and testing practices for AI-powered systems.

Collaborate with engineering, product, and data teams on AI use cases, architectural decisions, technical design reviews, and engineering best practices.

What you get

Your time off

Up to 15 paid vacation days annually

Additional unpaid days off

19 Colombian public holidays

Learning & growth

Sombra University workshops and internal learning programs

Tech Communities and knowledge sharing sessions

Language courses and workshops

Mentorship opportunities

Access to the Platzi online learning platform

And even more

Company-provided work equipment

Internal referral program

Bonuses for getting married or the birth of a child

Sombra events and internal initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we'll reach out to you shortly.

If you don't hear from us within 5 business days, it means we've decided to continue the process with other candidates for this position. Thanks for understanding