Design and evaluate LLM-based applications, including RAG pipelines, agentic systems, and chat interfaces.
Conduct LLM red-teaming, bias detection, and alignment testing using comparative and statistical analysis techniques.
Build and maintain automated evaluation frameworks for LLM outputs using embedding-based and prompt-based methods.
Develop interactive dashboards and visualizations using Power BI to communicate insights and model performance to stakeholders.
Integrate and test LLMs using OpenAI APIs, Databricks, and Azure AI Services.
Collaborate on the development of fine-tuning and pre-training pipelines for domain-specific use cases.
Work with Vector Databases (e.g., FAISS, MongoDB, Neo4j) to support RAG and semantic search capabilities.
Participate in code reviews, documentation, and agile development cycles with the engineering team.

Requirements

Minimum 1 year of professional (non-academic) experience in data science, machine learning, or AI-related roles.
Strong programming skills in Python and SQL; experience with JavaScript is a plus.
Bachelor’s or master’s degree in computer science, Data Science, AI, or a related field.
Hands-on experience with LLM evaluation, bias detection, or alignment research (preferred).
Proficiency in data visualization tools, especially Power BI (experience with Tableau or similar tools is a bonus).
Familiarity with LangChain, RAG, Ollama, LLM fine-tuning, and embedding-based analysis.
Experience with cloud platforms such as Microsoft Azure and Databricks.
Knowledge of databases including PostgreSQL, MongoDB, Neo4j, and FAISS.
Strong analytical thinking, attention to detail, and a passion for building responsible AI systems.

Benefits

health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
adoption/surrogacy and wellness benefits
employee/family assistance plans
various retirement savings plans (including pension)
global share ownership plan with employer matching contributions
financial education and counseling resources
generous paid time off program including holidays, vacation, personal, and sick days
full range of statutory leaves of absence

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLJavaScriptLLM evaluationbias detectionalignment researchembedding-based analysisRAGfine-tuningdata visualization

Soft Skills

analytical thinkingattention to detailcollaborationcommunication