- Company Name
- Business Needs Inc.
- Job Title
- Artificial Intelligence Engineer
- Job Description
-
Job Title: Artificial Intelligence Engineer
Role Summary:
Design, develop, and deploy AI/ML solutions focused on retrieval‑augmented generation (RAG) and large language model (LLM) workloads. Build and maintain knowledge ingestion pipelines, API‑based services, and microservices that run at scale in public cloud environments.
Expactations:
- Deliver production‑ready LLM services that meet performance, reliability, and user‑experience goals.
- Continuously improve data pipelines, model fine‑tuning, and deployment processes.
- Maintain clean, well‑tested code and robust CI/CD pipelines.
- Document architecture, data flow, and operational procedures.
Key Responsibilities:
- Design, implement, and optimise data cleansing, NLP parsing, and regex‑based ingestion workflows.
- Fine‑tune LLMs and construct RAG systems capable of handling 10,000+ documents.
- Develop REST/GraphQL APIs and microservices in Python, deploying to Azure, GCP, or AWS.
- Configure vector databases (e.g., MongoDB Atlas, Pinecone) and integrate search layers.
- Build, test, and maintain CI/CD pipelines using GitHub Actions or equivalent.
- Write unit, integration, and end‑to‑end tests; perform code refactoring and debugging.
- Apply advanced concepts such as agent memory, routing, content moderation, and output parsing.
- Collaborate with cross‑functional teams to translate business requirements into AI solutions.
Required Skills:
- Python (5+ years programming).
- Git and version control (3+ years).
- Public cloud (Azure, GCP, or AWS) – 3+ years.
- Scikit‑learn – 4+ years.
- LangChain – 2+ years.
- LLM fine‑tuning and RAG development – 2+ years.
- Vector database experience (MongoDB Atlas, Pinecone) – 1+ year.
- NLP tools (NLTK, SpaCy, Beautiful Soup) – 5+ years.
- DevOps with CI/CD tools (GitHub Actions) – 5+ years.
- Microservices design and deployment – 5+ years.
- Kubernetes – 3+ years.
- Strong debugging, refactoring, and testing practices.
- Familiarity with agents, memory integration, routing, moderation, and output parsing.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.
- Relevant professional certifications (cloud architecture, AI/ML) are advantageous but not mandatory.
Richardson, United states
On site
Mid level
16-12-2025