Senior AI Engineer
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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
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