AI Engineer

Build AI that actually goes live, not just demos

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?

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

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