Sr. AI Developer
Job Title: Sr. AI Developer - LLM & Financial Data Analysis
Location: Could be Remote or On-site in the Bay Area of California
Employment Type: Full-Time or Part-time Contract, your choice
Overview
RBM Staffing Solutions is seeking an experienced Sr. AI Developer with deep expertise in multiple Large Language Models (LLMs) and data analysis to design and develop an intelligent analyzer that can interpret complex datasets and assess the financial implications of data discrepancies or errors. This is a high-impact role with a focus on applying cutting-edge AI technologies to improve data quality insights and drive business decision-making.
Responsibilities
• Develop and fine-tune LLM-based solutions to parse, interpret, and analyze complex structured and unstructured datasets.
• Build intelligent systems that detect, explain, and quantify anomalies, inconsistencies, and errors within datasets.
• Design algorithms to compute financial impact resulting from detected errors or anomalies in data.
• Collaborate with data engineers, analysts, and business stakeholders to understand data sources and context.
• Integrate LLM-driven components into a larger data analysis platform or dashboard.
• Optimize LLM performance for speed, accuracy, and relevance in financial data contexts.
• Document architecture, workflows, and logic to support maintainability and transparency.
• Stay current on advancements in AI/LLM technologies and identify opportunities for innovation.
Required Qualifications
• 3+ years of experience developing AI/ML solutions, with a focus on LLMs (e.g., GPT, Claude, LLaMA, Mistral, etc.).
• Proven track record of applying LLMs to solve real-world data analysis or automation problems.
• Strong experience with Python and relevant AI/ML frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API).
• Solid understanding of data quality issues and methods for quantifying financial impact from bad data.
• Experience working with structured (SQL, CSV, JSON) and unstructured data (text, documents).
• Knowledge of financial terminology, transactions, and data flows is highly preferred.
• Familiarity with cloud platforms (AWS, Azure, GCP) and scalable deployment strategies.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work cross-functionally.
Nice To Have
• Experience integrating LLMs with RAG (retrieval-augmented generation) pipelines.
• Knowledge of data lineage, data governance, or financial regulatory environments.
• Exposure to visualization tools or platforms (Tableau, Power BI, Streamlit, etc.).
What We Offer
• Competitive compensation and benefits
• Flexible work environment
• Opportunity to work on innovative AI-driven products
• Collaborative and supportive team culture
Job Title: Sr. AI Developer - LLM & Financial Data Analysis
Location: Could be Remote or On-site in the Bay Area of California
Employment Type: Full-Time or Part-time Contract, your choice
Overview
RBM Staffing Solutions is seeking an experienced Sr. AI Developer with deep expertise in multiple Large Language Models (LLMs) and data analysis to design and develop an intelligent analyzer that can interpret complex datasets and assess the financial implications of data discrepancies or errors. This is a high-impact role with a focus on applying cutting-edge AI technologies to improve data quality insights and drive business decision-making.
Responsibilities
• Develop and fine-tune LLM-based solutions to parse, interpret, and analyze complex structured and unstructured datasets.
• Build intelligent systems that detect, explain, and quantify anomalies, inconsistencies, and errors within datasets.
• Design algorithms to compute financial impact resulting from detected errors or anomalies in data.
• Collaborate with data engineers, analysts, and business stakeholders to understand data sources and context.
• Integrate LLM-driven components into a larger data analysis platform or dashboard.
• Optimize LLM performance for speed, accuracy, and relevance in financial data contexts.
• Document architecture, workflows, and logic to support maintainability and transparency.
• Stay current on advancements in AI/LLM technologies and identify opportunities for innovation.
Required Qualifications
• 3+ years of experience developing AI/ML solutions, with a focus on LLMs (e.g., GPT, Claude, LLaMA, Mistral, etc.).
• Proven track record of applying LLMs to solve real-world data analysis or automation problems.
• Strong experience with Python and relevant AI/ML frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API).
• Solid understanding of data quality issues and methods for quantifying financial impact from bad data.
• Experience working with structured (SQL, CSV, JSON) and unstructured data (text, documents).
• Knowledge of financial terminology, transactions, and data flows is highly preferred.
• Familiarity with cloud platforms (AWS, Azure, GCP) and scalable deployment strategies.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work cross-functionally.
Nice To Have
• Experience integrating LLMs with RAG (retrieval-augmented generation) pipelines.
• Knowledge of data lineage, data governance, or financial regulatory environments.
• Exposure to visualization tools or platforms (Tableau, Power BI, Streamlit, etc.).
What We Offer
• Competitive compensation and benefits
• Flexible work environment
• Opportunity to work on innovative AI-driven products
• Collaborative and supportive team culture
