Position: Senior AI Engineer - Financial Services AI
Location: Remote
About the Role
This is not a traditional software engineering role, nor is it a standard financial analyst position.
This opportunity sits at the intersection of
Generative AI, Machine Learning, and Enterprise Financial Systems .
You will design, build, and deploy AI-powered applications-including
AI agents, Retrieval-Augmented Generation (RAG) pipelines, natural language interfaces, and intelligent workflow automation -to solve complex business problems for finance and banking organizations.
You'll partner with business stakeholders to translate financial processes into scalable AI solutions.
Required Qualifications
AI / ML Engineering (Must Have)
Minimum
3+ years
of experience building production-grade AI/GenAI applications.
Strong hands-on expertise in:
Python
SQL
LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, Semantic Kernel, etc.)
Prompt engineering
Retrieval-Augmented Generation (RAG)
AI Agent development
Vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS, etc.)
REST APIs and enterprise integrations
Experience deploying AI solutions into production environments
Candidates should have built and supported
real-world AI applications
beyond proof-of-concepts or chatbot implementations.
Enterprise Systems & Integration (Must Have)
Experience integrating AI solutions with enterprise applications using:
APIs
Databases
Messaging systems
Middleware
Experience working with cloud platforms such as:
AWS
Azure
GCP
is preferred.
Financial Services Domain (Preferred)
Experience delivering technology solutions for organizations in one or more of the following industries is preferred:
Banking
Financial Services
FinTech
Insurance
Capital Markets
Payments
Experience supporting business teams such as:
Corporate Finance
FP&A
Revenue Operations
Accounting
Treasury
Risk & Compliance
is considered a strong plus.
Finance Domain Knowledge (Nice to Have)
Working knowledge of common finance concepts is preferred, including:
Budgeting and Forecasting
Financial Reporting
Variance Analysis
ARR / MRR / NRR
Deferred Revenue
Revenue Recognition
Commission & Incentive Compensation
SaaS Metrics
You are not expected to be a finance professional, but you should be comfortable partnering with finance stakeholders and translating business requirements into AI-driven solutions.
Preferred Enterprise Platforms
Experience with one or more of the following is a plus: