We are looking for a Senior AI Engineer to join our team and help build practical AI solutions that turn data and modern AI technologies into real value. You will work across a range of AI and machine learning projects, including work with LLMs, RAG, and agentic AI, and take solutions from idea to production. You will integrate AI models through APIs, fine tune models on our own data, and prepare and structure the data these systems rely on. You will be involved throughout the process, from understanding the problem and preparing data to building, deploying, monitoring, and improving models, and you will provide technical guidance to other members of the team.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience
• 4+ years of hands on experience in AI/ML engineering, applied AI, or data science
• Strong programming skills in Python
• Strong understanding of machine learning and deep learning, including model development, optimization, and evaluation
• Strong data skills, including SQL and experience cleaning, structuring, labeling, and analyzing data to prepare high quality datasets for AI systems
• Experience working with large datasets and building AI/ML pipelines
• Hands on experience developing AI solutions with NLP, LLMs, and generative AI, including integrating LLM APIs into real applications
• Hands on experience fine tuning and evaluating models
• Practical experience with prompt engineering, RAG, embeddings, vector databases, and agentic AI
• Experience building and consuming APIs (REST, SDKs, authentication, rate limits, error handling)
• Experience deploying and running AI services in production, including on premise environments, with a good understanding of MLOps such as model deployment, monitoring, and versioning
• Strong communication skills: fluent Azerbaijani, good English is an advantage
• Experience with speech technologies such as ASR (speech to text) and TTS (text to speech) is a plus
• Familiarity with cloud platforms and containerization such as Docker and Kubernetes is a plus
• Experience mentoring or technically guiding junior and mid level team members is a strong plus.
• Opportunities for professional growth and development

• Comprehensive insurance coverage
• Supportive work environment
• Corporate discounts and events
• Additional vacation days
• Discounted education and employee loans
• New cozy studio office in Port Baku Tower 2
• Strong teamwork with Agile principles, regular team buildings and themed events
• Multicultural environment with foreign colleagues sharing their best experiences
• Lead AI and machine learning projects from understanding the problem through development and deployment
• Prepare, clean, structure, and label data used by AI systems, and analyze datasets to identify useful patterns that support the team
• Design, develop, and improve AI and machine learning solutions for different use cases
• Build LLM, RAG, and agent based AI projects, integrate LLM APIs into products and internal tools, and improve their quality, performance, and reliability
• Fine tune, evaluate, and optimize models on custom datasets
• Build and improve speech to text and text to speech features and pipelines
• Deploy, monitor, and troubleshoot AI features in production, with attention to reliability, latency, and cost
• Review and improve existing models, pipelines, and AI systems for reliability and efficiency
• Establish and promote best practices for model governance and performance monitoring
• Collaborate closely with data engineers, ML engineers, and product teams to deliver AI solutions
• Provide technical guidance and support to junior and mid level team members
• Keep up with relevant AI developments and identify practical opportunities to apply new technologies.

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