AI Engineer (Perm)

Job Title: Senior AI Engineer

As an AI Engineer, you will be responsible for designing, developing, and deploying AI-driven solutions using advanced language models like GPT-3.5 and GPT-4. You will work closely with cross-functional teams to build applications that solve complex business challenges, optimize model performance, and ensure accuracy through rigorous evaluation metrics. Additionally, you will stay up-to-date with the latest AI advancements and contribute to the continuous improvement of our AI capabilities, while also mentoring junior team members.

TECHNICAL KNOWLEDGE

• Work independently on complex projects.
• Design and implement complex predictive models or algorithms to drive business growth and improve customer experiences.
• Identify patterns and trends in data to drive insights and recommendations for business decisions.
• Design experiments and A/B testing to validate hypotheses and assess impact of data-driven solutions.
• Mentor and provide guidance to junior and intermediate data scientists.
• Be involved in project management and strategic decision-making.
• Be involved in data pipeline architecture design and implementation Collaborate with cross-functional teams to gather requirements, design solutions, and implement models.
• Communicate findings and recommendations to non-technical stakeholders in a clear and concise manner.

MINIMUM EXPERIENCE NEEDED TO BE SUCCESSFUL IN THIS ROLE

• A minimum of 5 years of software development experience, with a proven track record of deploying robust applications.
• Strong proficiency in Python and familiarity with SQL and SQL Databases.
• Experience with Langchain and its components such as Document Loaders, Text Splitters, Retrievers, Chains & Agents.
• Experience with vector embeddings either through third-party providers like OpenAI or other open sources embeddings models like Word2Vec.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, or similar.
• Understanding of advanced retrieval techniques and chunking strategies within RAG applications is highly desirable.
• Knowledge of Generative AI evaluation metrics and managing hallucinations.

• Designing, developing, and maintaining applications powered by LLM models such as OpenAI’s GPT 3.5 or GPT 4 and various other providers.
• Utilizing orchestration libraries such as Langchain to build RAG (Retrieval-Augmented Generation) applications.
• Working with SQL and Azure SQL databases for data manipulation and retrieval.
• Implementing and managing vector databases such as Pinecone, Weaviate, and Chroma for retrieval capabilities within applications.

Strong knowledge and understanding of:

• Advanced retrieval techniques and chunking strategies within RAG applications to improve model efficiency.
• Evaluating AI models using robust metrics to ensure high accuracy and performance.

BEHAVIOURAL COMEPTENCIES

• Self-motivated, proactive, and results-oriented.
• Strong analytical and problem-solving skills.
• Ability to work in a fast-paced, dynamic, and collaborative environment.
• Comfortable with ambiguity and able to adapt to change.
• Ability to work independently and as part of a team.
• Passion for learning new technologies and staying up to date with the latest trends in data science and machine learning.
• Excellent written and verbal communication and collaboration skills.
• Shows promising leadership abilities.
• Strong business acumen.