Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Cloud Architecture, Cloud Computing, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Management, Data Science, Data Sets, Deep Learning, Docker, Experiment Design, Forecasting, GCP (Good Clinical Practices), Machine Learning, Modeling Languages, Natural Language Processing (NLP), Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Software Development, Strategic Planning
Job Title: Principal Consultant AI/ML & LLM Engineering
(Also consider: Principal AI Engineer / Lead Data Scientist / AI Architect)
Work Location: San Jose, CA 95134
Duration: 6 Months Contract
Experience: 10+ Years
Interview Process: Virtual (No Face-to-Face)
Role Overview
We are looking for a Principal Consultant with strong expertise in AI/ML engineering and Large Language Model (LLM) application development. This role involves designing and implementing scalable, production-grade AI solutions, leveraging advanced machine learning techniques, and modern LLM frameworks.
The ideal candidate will have deep experience in end-to-end ML lifecycle, RAG-based architectures, and cloud-native deployments.
Key Responsibilities
- Lead the design and development of AI/ML and LLM-based applications
- Build and deploy solutions using LangChain, LangGraph, and tool-calling agents
- Architect and implement Retrieval-Augmented Generation (RAG) systems
- Develop prompt engineering strategies and optimize LLM outputs
- Design and maintain embedding pipelines and hybrid retrieval systems
- Apply advanced ML techniques such as:
- NLP (Natural Language Processing)
- Deep Learning
- Time Series Forecasting
- Propensity Modeling
- Conduct experimental design and causal inference analysis
- Develop scalable APIs using FastAPI and containerized solutions using Docker
- Work with large datasets using SQL and BigQuery
- Deploy and manage solutions on AWS and GCP
- Implement and maintain CI/CD pipelines for ML workflows
- Collaborate with business stakeholders and cross-functional teams
Required Skills (Top 3)
- AI/ML Engineering & LLM Development
- LangChain, LangGraph
- Tool-calling agents
- RAG architecture
- Prompt engineering
- Embedding pipelines & hybrid retrieval
- Strong Machine Learning Fundamentals
- XGBoost, Deep Learning
- NLP
- Time series forecasting
- Propensity modeling
- Experimental design & causal inference
- Programming & Cloud Expertise
- Expert-level Python and SQL
- Cloud platforms: AWS / GCP
- Tools: Docker, FastAPI, BigQuery
- Vector DB: FAISS
- CI/CD pipelines
Nice to Have Skills
- Experience in enterprise AI transformation projects
- Knowledge of MLOps and model monitoring
- Exposure to scalable AI architecture design
- Familiarity with data engineering pipelines
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 10+ years of experience in AI/ML, Data Science, or related domain