Artificial Intelligence Engineer

Data Science Skills

• Deploy and maintain knowledge ingestion pipelines and integration into API-based services.
• Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG.
• Experience fine-tuning and deploying LLMs.
• Stay current on the latest GenAI trends, frameworks, and coding practices.

Software Development Skills

• Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment.
• Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS.
• Uphold quality through DevOps pipeline, unit-, integration-, and end-to-end testing.

Required Qualifications:

• 5 years of experience programming with Python.
• 3 years of experience in Git and version control.
• 3 years of experience with a public cloud
• 4 years using Scikit-learn
• 2 years of Lang chain experience.
• 2 years of LLM experience building RAG systems
• 1 year experience with vector databases such as MongoDB Atlas or Pinecone
• Portfolio of LLM applications and sample projects
• 5 years of NLP experience using tools such as NLTK, SpaCy, and Beautiful soup
• 2 years of LLM experience building RAG systems at scale (10,000 documents).
• 5 years’ experience in DevOps with Github Actions or similar CI/CD tools.
• 5 years of writing and deploying microservices
• 3 years of Kubernetes experience
• Strong code refactoring skills
• Strong debugging skills.
• Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content, parsing output