AI Engineer
DVT is a global custom software development and data engineering company. With our remote and hybrid options, our vision is to be South Africa's favourite custom software solutions & services company, with a global footprint. You will have the opportunity to work alongside some of the most established developers in the country with the latest technologies. DVT is committed to continuously training our staff and we are very proud of our culture of learning, from internal speaking and training to sponsoring a variety of technical events from DevConf to GDG.
DVT We are seeking a highly skilled AI Engineer with a specialization in Generative AI applications to join our dynamic team. This role demands a seasoned professional with a strong background in software development and specific expertise in the development and deployment of AI-driven technologies. The ideal candidate will contribute to pioneering projects, leveraging their technical abilities to drive innovation and create scalable AI solutions.
Key Responsibilities:
Design, develop, and maintain applications powered by LLM models such as OpenAI’s GPT 3.5 or GPT 4 and various other providers.
Make use of orchestration libraries such as Langchain to build RAG (Retrieval-Augmented Generation) applications.
Work with SQL and Azure SQL databases for data manipulation and retrieval.
Utilize vector databases such as Pinecone, Weaviate, and Chroma to provide retrieval capabilities within applications.
Research and apply advanced retrieval techniques and chunking strategies using RAG to improve model efficiency.
Evaluate AI models using robust metrics to ensure high accuracy and performance.
Required Qualifications:
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 various 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. Examples 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.
Behaviour Competency:
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
Interview Process
Recruiter call
Technical Interview
Decision & Feedback
Who we are:
Apply To This Job
DVT We are seeking a highly skilled AI Engineer with a specialization in Generative AI applications to join our dynamic team. This role demands a seasoned professional with a strong background in software development and specific expertise in the development and deployment of AI-driven technologies. The ideal candidate will contribute to pioneering projects, leveraging their technical abilities to drive innovation and create scalable AI solutions.
Key Responsibilities:
Design, develop, and maintain applications powered by LLM models such as OpenAI’s GPT 3.5 or GPT 4 and various other providers.
Make use of orchestration libraries such as Langchain to build RAG (Retrieval-Augmented Generation) applications.
Work with SQL and Azure SQL databases for data manipulation and retrieval.
Utilize vector databases such as Pinecone, Weaviate, and Chroma to provide retrieval capabilities within applications.
Research and apply advanced retrieval techniques and chunking strategies using RAG to improve model efficiency.
Evaluate AI models using robust metrics to ensure high accuracy and performance.
Required Qualifications:
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 various 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. Examples 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.
Behaviour Competency:
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
Interview Process
Recruiter call
Technical Interview
Decision & Feedback
Who we are:
Apply To This Job