AI Engineer Manager

As part of this role you will be responsible for:

• Leading AI project delivery end to end ensuring clear governance strong stakeholder communication and reliable execution.
• Designing and building robust RAG systems agentic frameworks and LLM-powered solutions suitable for production environments.
• Applying advanced prompt engineering techniques including instruction design few-shot prompting structured outputs and tool/agent prompts.
• Leading feasibility assessments to determine the right technical approach including prompting RAG fine-tuning classical ML or hybrid solutions.
• Designing evaluation frameworks for AI systems including LLM-as-a-judge custom metrics and go/no-go gates.
• Running structured experiments across prompts retrievers chunking strategies embeddings reranking approaches and models.
• Identifying and categorizing model failures such as hallucinations retrieval misses instruction-following errors and quality regressions.
• Building scalable inference infrastructure and CI/CD pipelines for AI and ML models.
• Automating the MLOps/LLMOps lifecycle including tracking versioning deployment monitoring retraining and continuous improvement.
• Designing APIs microservices and orchestration layers optimized for latency cost reliability and scalability.
• Mentoring junior engineers and contributing to proposals solution design and new business initiatives.

Qualifications :

The ideal candidate should have:

• 6 years of experience building and deploying AI ML or data-driven solutions in production environments.
• Strong expertise in Python and solid Git practices.
• Hands-on experience with LLM-powered solutions RAG systems and modern GenAI development patterns.
• Practical experience with RAG components including chunking embeddings retrieval reranking and evaluation.
• Strong understanding of prompt engineering techniques including structured outputs few-shot prompting instruction design and tool/agent prompts.
• Proven experience designing evaluation strategies for AI systems including metrics dataset curation structured experimentation and quality gates.
• Experience with MLOps/LLMOps practices and tools such as MLflow Weights & Biases or similar platforms.
• Solid cloud experience with AWS Azure or GCP. Azure experience is preferred.
• Experience with containerization orchestration scalable inference APIs and microservices.
• Understanding of event-driven architectures and production-grade engineering practices.
• Ability to communicate clearly with engineering teams senior stakeholders and clients.
• A pragmatic approach to AI delivery balancing innovation reliability cost latency and business value.

Nice to have:

• Experience with Databricks MLOps platform.
• Experience with LLM fine-tuning.
• Experience building agentic GenAI systems.
• Experience with Infrastructure as Code.
• Knowledge of security and observability practices for AI services.
• Background in classical machine learning.
• Open-source contributions or public technical work.

What about languages

Advanced English level is required for written and verbal communication.

How much experience must I have

At least 6 years of professional experience building and deploying AI ML or software solutions in production environments.

Additional Information :

Our perks and benefits:

Every day lunches! (headquarters):

• Vegetarian vegan gluten and sugar free options.
• Gourmet meals every Friday with our on-site chef!

Flexible working options to help you strike the right balance.

All the equipment you need to harness your talent (Macbook and accessories).

Snacks and beverages available everyday (headquarters).

After office events football tennis and game nights (headquarters).

Everyone is welcome to join our football league every Wednesdays and Fridays.

Challenge your teammates to a pool game and win the offices trophy! Tennis courts available for friendly matches.

Not a sports person Dont worry we also have chess championships game and music nights for you to join!

Learning opportunities:

• AWS Certifications (we are AWS Partners).
• Study plans courses and other certifications.
• English Lessons.
• Learn from your teammates on our Tech Tuesdays!

Mentoring and Development opportunities to shape your career path.

Anniversary and birthday gifts.

Great location and even greater teammates!

So what are the next steps

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and well explore working together!

Remote Work :

Yes

Employment Type :

Full-time