What are the responsibilities and job description for the Artificial Intelligence Engineer position at Business Needs Inc.?
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