AI Software Engineer - Collective Intelligence (Bogota)
About The Position
We're looking for a Software Engineer to help shape the future of collective intelligence solutions at Slalom. In this role, you'll design and build AI-driven workflows that connect external data, enterprise systems, and organizational knowledge into seamless, intelligent experiences. If you enjoy building agentic applications, orchestrating APIs and data sources, and delivering real business impact with AI, this role is for you. Why Slalom? Slalom is a modern consulting firm focused on strategy, technology, and business transformation. We help organizations dream bigger, move faster, and build better tomorrows. As a Software Engineer on our Collective Intelligence team, you'll: Work at the leading edge of AI orchestration and intelligent applications. Solve complex, meaningful problems for a global Consulting firm. Grow your skills alongside diverse technologists, strategists, and leaders. Be part of a company that is fiercely human, values-driven, and dedicated to building a better future for all.
Requirements
- 4-8 years of professional software engineering experience, with a track record of shipping production systems.
- Strong Python skills applied to AI or intelligent applications.
- Hands-on experience with LLM techniques such as retrieval-augmented generation (RAG), fine-tuning, or agentic workflows.
- Ability to integrate systems using APIs and modern orchestration or workflow frameworks (e.g., MCP, LangChain/LangGraph, Semantic Kernel, or similar)
- Proven ability to design and optimize scalable data ingestion pipelines, leveraging modern ETL/ELT frameworks and cloud-native services to ensure reliability, quality, and performance.
- Hands-on experience with Google Cloud Platform services such as Cloud Run, Batch, and Firestore, with a track record of building efficient, resilient, and cloud-native applications and workflows.
- Clear communication skills and the ability to explain technical concepts to diverse audiences.
Nice To Haves
- Experience with enterprise integrations (CRM, knowledge systems, data platforms).
- Familiarity with AI platforms such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
- Background in MLOps or LLMOps practices, including validation, monitoring, and deployment.
- Front-end development experience (TypeScript, JavaScript, React/Next.js or similar).
- Prior consulting or client-facing engineering experience.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
