Medior Ai Engineer

Build AI that actually goes live, not just demos

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

Are you a Medior AI Engineer ready to move beyond experiments and start delivering real-world AI solutions?

At LACO, you'll work on production-grade AI, Generative AI copilots, and scalable ML systems that truly make an impact across industries.

Why this role is different

• Build real AI solutions in Azure, not proof-of-concepts
• Work hands-on with Generative AI, copilots & LLM integrations
• Grow toward Senior/Lead AI Engineer with clear guidance
• Get ownership, autonomy, and space to innovate
• Join a team that invests in coaching, learning & certifications
• Open to both permanent & freelance talent

What you'll be doing

• Designing and deploying scalable AI solutions in Azure (ML Studio)
• Building ML & GenAI applications, including Retrieval-Augmented Generation (RAG) solutions, AI copilots, and LLM-powered applications
• Working with state-of-the-art Large Language Models such as GPT-4, Claude Sonnet, and Claude Haiku to create intelligent business solutions
• Developing and optimizing RAG architectures, semantic search, vector databases, and knowledge retrieval systems
• Creating end-to-end ML pipelines (data ingestion → training → deployment)
• Building AI applications and integrations using Python and modern AI frameworks
• Collaborating with engineers & data scientists to deliver real business impact
• Applying Responsible AI principles in production environments

Who you are

• ~2+ years experience as an AI/ML Engineer.
• Strong development skills in Python and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
• Hands-on experience with Large Language Models (LLMs) such as GPT-4, Claude Sonnet, Claude Haiku, or similar foundation models
• Experience designing and implementing RAG solutions, semantic search, vector databases, and GenAI applications
• Familiar with Azure ML, Data Lake, DevOps, AKS, or AI Foundry
• Knowledge of MLOps, CI/CD, Docker, and Infrastructure as Code (IaC)
• Experience evaluating, fine-tuning, or integrating LLMs into production environments is a plus

What you get in return

• Competitive salary aligned with the market
• 40h workweek + 32 days off
• Hybrid flexibility
• A strong learning culture with mentoring & career acceleration
• A people-first environment where your work truly matters

Ready to build real AI instead of demos? xlxgzvr

Send us a message or apply directly, we'd love to connect.

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