Overview:

We're seeking a forward-thinking Senior AI Engineer who thrives on innovation and wants to play a pivotal role in transforming the company through cutting-edge AI technologies. You will lead the charge in integrating AI across the organization, ensuring its responsible and impactful adoption.

Responsibilities:

• Design and build AI solutions (with a strong focus on LLMs and modern ML) for real-world business problems.

• Own the end-to-end lifecycle of AI features: problem definition, data understanding, modeling, evaluation, deployment, monitoring, and iteration.

• Develop and optimize LLM-based applications (e.g. RAG, agents, chatbots, document understanding).

• Participate in the design and management of data pipelines for efficient data collection, preprocessing, and analytics.

• Develop and deploy AI solutions into the company’s cloud infrastructure, ensuring scalability, security, and performance.

• Work closely with cross-functional teams to integrate AI capabilities into products, services, and internal tools.

• Identify and prioritize areas where AI and machine learning can add measurable value to business processes, products, and operations.

• Educate and guide stakeholders on the potential applications of AI, fostering a culture of innovation.

Requirements:

• Minimum of 5 years in a Software Development role, including at least 2 years in AI/ML engineering or a related field, with a track record of delivering AI solutions.

• Proven experience building and deploying production-grade AI/ML systems (batch and/or real-time).

• Practical experience with LLMs and generative AI (e.g. prompt engineering, fine-tuning, RAG pipelines, or LLM orchestration frameworks).

• Experience with vector databases and semantic search (e.g. Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch).

• Experience implementing RAG architectures, retrieval pipelines, and evaluation for LLM-based systems.

• Background in building and managing data pipelines for AI/ML systems.

• Strong programming skills in Python, including hands-on experience with FastAPI and asynchronous programming (async/await).

• Experience with cloud platforms (e.g. AWS, Azure, Google Cloud) and integrating AI solutions into cloud-based systems.

• Proficiency in database management, data wrangling, and working with distributed systems.

• Solid foundation in algorithm design, statistics, and data science.

• Previous experience promoting and advocating for technology adoption in a corporate setting.

Preferred Skills:

• Familiarity with MLOps practices and tools for managing AI/ML workflows (e.g. CI/CD for ML, monitoring, experiment tracking).

• Strong communication skills, with the ability to educate and influence stakeholders at all levels of the organization.

• Problem-solving mindset with a focus on delivering practical, scalable AI solutions.

• Passion for driving innovation and fostering an AI-first culture within the organization.

• High ownership mindset, always striving for improvements in systems, processes, and ways of working.

• Excellent presentation and documentation skills.

• Set high standards for yourself and others, and lead by example.

If you're passionate about building high quality software and enjoy working in a supportive team environment, we encourage you to apply and become a valuable part of our Product and Engineering team.