AI Engineer

Cognassist is seeking a proactive and highly skilled AI Engineer to work as part of a cross-functional team, tackling complex and interesting problems to deliver high-quality solutions. You will be involved from idea inception through to delivery and feature launch. While your primary focus will be on developing and maintaining AI services using Python, you will also have opportunities to contribute to data pipelines and Knowledge Graphs.

• AI and Advanced Analytics:
  • Preprocess data: Ensure the quality and accuracy of data used to train AI models
  • Develop and deploy AI models, with a strong focus on Large Language Models (LLMs) and natural language processing (NLP) applications.
  • Explore and integrate cutting-edge AI and machine learning technologies into the business by deploying models into production.
• Develop and integrate REST APIs, microservices, and serverless architectures within the SaaS ecosystem.
• Collaborate in technical decision-making, influencing architectural improvements and implementing modern best practices for software development.
• Adhere to continuous integration and continuous deployment (CI/CD) practices, ensuring automated testing and delivery pipelines.
• Monitor and troubleshoot production issues, taking ownership of issues until resolution.
• Collaborate with DevOps teams to maintain and improve cloud infrastructure and ensure efficient resource usage.
• Stay updated on industry trends and emerging technologies, applying them to current and future projects as relevant.
  

Our ideal candidate will have a broad range of skills and experience.

• Extensive experience in developing and deploying AI/ML models, with specific expertise in Large Language Models (LLMs like Llama, OpenAI, Mistral, Deepseek), NLP, and machine learning algorithms.
• Knowledge of AI tools and frameworks, such as PyTorch, Autogen, Langchain, Azure AI Foundry, Hugging Face Transformers and experience with AI integration in SaaS
• Proficiency in Python for AI/ML; experience with RAGs, experience with graph databases, graph embeddings, neural networks, and MLOps.
• Data Manipulation: Strong knowledge of libraries like NumPy, Pandas, and Matplotlib for handling and visualizing data
• Adequate knowledge of database systems (both Vector databases, SQL and Graphs databases).
• Strategic thinking in systems capacity planning, hardware and software updates, and migration.
• Solid understanding of API design and development, including RESTful services.
• Hands-on experience with DevOps tools, including CI/CD pipelines, infrastructure automation, and monitoring solutions (e.g., GitLab CI, or Azure DevOps).
  

• Excellent communication skills.
• Ability and willingness to learn about and use new technologies.
• AI/ML Expertise: Strong experience with AI/ML technologies, particularly in deploying Large Language Models (LLMs) and natural language processing (NLP) applications.
• Able to work independently whilst able to seek guidance from team leads where necessary.
• Desire and ability to automate.
  

• Bachelor’s in Computer science / adjacent field
• Minimum 5 years in high-level architecture design and solution development for large-scale AI/ML systems.
• Proven track record in industry use cases utilizing deep and machine learning techniques.
• Any other certifications would be beneficial.

• EMI company share scheme, meaning you would own a percentage of shares, turning into significant monetary value in time.
• Competitive salary.
• Westfield Health Care plan.
• 1-2-1 Sanctus coaching sessions to support personal and professional development with proactive mental wellbeing support.
• Fully flexible working.
• A paid day off on your birthday.
• AIG Life insurance.
• Workplace Nursery Benefit
• Long service awards to celebrate key employment anniversaries.
• Excellent discounts/wider wallet.
• 5% matched contribution pension scheme.
• 25 days holiday + bank holidays (33 days).
• Paid wellbeing days, volunteer days, and study days.
• Quarterly values awards.
• Staff parties and events.
• Modern homeworking tech kit.
• Enhanced maternity & paternity pay.
• And being part of something AMAZING!

Cognassist is a Disability Confident Committed employer, and we welcome your application even if you believe you do not meet all of the above criteria - your unique skills, and experiences are valued, and your contribution could be exactly what we need to grow together.