Senior AI Engineer (Perm)

Job Title:              Senior AI Engineer

Reports to:           Practice Head: Data, AI and Automation

ROLE OVERVIEW

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

Strong knowledge and extensive experience in:

- 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.

RESPONSIBILITIES

- 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.