Senior AI/Machine Learning Engineer
Remote
Colombia
The project focuses on modernizing a Product Lifecycle Management (PLM) platform by integrating advanced AI technologies including LLMs, NLP, multimodal AI, and vector search to deliver intelligent automation, improve decision-making, enhance user experience, and increase operational efficiency.
- 5+ years of experience in AI/ML development and technical leadership roles.
- Background in backend or full-stack engineering.
- Prior experience delivering AI-powered enterprise solutions in industries such as finance, healthcare, manufacturing, or PLM.
- Experience mentoring teams or leading cross-functional AI projects.
Core AI/ML: - Strong expertise in Natural Language Processing (NLP) and LLMs (e.g., GPT, Claude, Gemini, BERT, T5).
- Hands-on experience building chatbots, virtual assistants, and agents using modern AI frameworks.
- Proficiency in RAG pipelines, prompt engineering (zero-shot, one-shot, few-shot), and fine-tuning.
- Experience with AI search tools like Azure Cognitive Search, Elasticsearch, or Haystack.
Engineering & Cloud - Solid background in Azure AI ecosystem, including Azure AI Services, OpenAI on Azure, and AKS.
- Familiarity with MLOps, CI/CD pipelines, and tools like Azure DevOps, GitHub Actions.
- Proficiency in containerization and orchestration using Docker and Kubernetes.
- Strong programming skills in .NET (C#) and JavaScript/TypeScript.
- Experience with microservices architecture and enterprise-scale applications.
- Design, develop, and integrate AI-powered features using LLMs, NLP, and multimodal AI models.
- Architect and implement AI-driven automation to improve business processes and user workflows.
- Build and optimize conversational AI solutions using frameworks like LangChain, LangGraph, Semantic Kernel.
- Enhance search and knowledge management with vector search, semantic search, and Retrieval-Augmented Generation (RAG).
- Provide technical guidance to developers on AI best practices.
- Stay current with emerging AI frameworks and assess their fit for enterprise PLM.
- Fine-tune and deploy models using Azure AI, Azure OpenAI, and Kubernetes (AKS).
- Monitor and govern AI features to mitigate risks such as prompt injection, model bias, and drift.
- Collaborate with cross-functional teams to iterate on solutions and improve ML pipelines.
- 10 working days of Paid Day Off within an individual year.
- Up to 15 working days of Unpaid days off within an individual year.
- Sombra University courses – enjoy a range of learning opportunities through Sombra University. It offers many educational courses, as well as educational lectures on a variety of topics.
- Sombra Around Tech – community attendance – Sombra unites engineers and experts in several areas: Front-end, Back-end, QA, DevOps, and Вusiness Analysis.
- Mentorship program – available on request.
- UDEMY online course platform – stay up-to-date with the latest technologies and programming languages.
- English courses and Speaking Club – attend English classes twice a week in small groups.
- Work equipment (Laptop, monitor, and small devices compensation).
- Sombra’s referral program.
- If you know someone you believe is a good fit for our cooperation, you can recommend them and get a reward.
- Public Holidays – celebrate 18 statutory holidays in Colombia.
- Sombra events – Join Sombra’s traditional events (both online and offline).
