Software Engineer - AI

About WealthyMinds AI

WealthyMinds AI is an early-stage startup building AI-native products for the wealth management industry. We use Gen AI, large language models, and intelligent automation to help financial advisors, RIAs, TAMPs, and private banks work smarter, serve clients better, and scale their operations.

We are a small, funded team with big ambitions. Every engineer here has an outsized impact on the product, the architecture, and the company's trajectory.

The Role

We are looking for a Software Engineer - AI to design, build, and ship the intelligent systems at the core of our platform. You will work across the full AI stack: from data ingestion and embeddings to LLM orchestration, agentic workflows, and user-facing features that put AI directly into the hands of wealth management professionals.

This is a hands-on engineering role with high autonomy. You will collaborate closely with the CTO and a small founding engineering team, making meaningful architectural decisions and seeing your work in production quickly.

What You Will Do

•       Design and implement production AI/ML systems including LLM-powered features, retrieval-augmented generation (RAG) pipelines, and agentic workflows.

•       Build and optimize data pipelines that ingest, transform, and index financial data (portfolio holdings, market data, client records) for use by AI models.

•       Develop and maintain vector search infrastructure using tools like Pinecone, Weaviate, pgvector, or similar for semantic retrieval and knowledge bases.

•       Integrate with LLM providers (OpenAI, Anthropic, open-source models) and build prompt engineering frameworks, guardrails, and evaluation harnesses.

•       Implement agentic AI patterns: multi-step reasoning, tool use, function calling, and autonomous task execution tailored to wealth management workflows.

•       Build robust backend services and APIs (Python, TypeScript, or Go) that serve AI capabilities to front-end applications reliably and at low latency.

•       Contribute to infrastructure and DevOps: CI/CD pipelines, containerization, cloud deployment (AWS/GCP), monitoring, and observability for AI systems.

•       Participate in code reviews, architectural discussions, and technical planning, helping to establish engineering best practices from the ground up.

•       Stay current with the rapidly evolving AI landscape and evaluate new models, frameworks, and techniques for potential adoption.

What We Are Looking For

•       3+ years of software engineering experience, with at least 1 year building AI/ML-powered features or applications in a production environment.

•       Strong programming skills in Python, with experience in frameworks like FastAPI, LangChain, LlamaIndex, or similar AI/LLM tooling.

•       Hands-on experience with large language models: prompt engineering, fine-tuning, embeddings, RAG architectures, and evaluation methodologies.

•       Solid understanding of software engineering fundamentals: data structures, algorithms, system design, API design, and testing practices.

•       Experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).

•       Comfort working with databases (PostgreSQL, Redis) and vector stores for hybrid search and retrieval.

•       Strong collaborative instincts: you communicate clearly, give and receive feedback well, and enjoy working in a small, fast-moving team.

•       Intellectual curiosity and a genuine enthusiasm for AI: you follow the latest research, experiment with new tools, and bring ideas to the table.

Nice to Have

•       Experience with financial data, wealth management platforms, or fintech applications.

•       Familiarity with agentic AI frameworks (AutoGen, CrewAI, custom agent architectures) and tool-use patterns.

•       Experience with model fine-tuning, RLHF, or training custom models on domain-specific data.

•       Contributions to open-source AI/ML projects or published research in NLP, information retrieval, or related fields.

•       Experience with frontend development (React, TypeScript) for building AI-powered user interfaces.

•       MS or PhD in Computer Science, Machine Learning, or a related field.

Our Tech Stack

While we are still making some technology choices (and your input will shape them), here is what we are currently working with and evaluating:

AI / LLMs

OpenAI, Anthropic Claude, open-source models, LangChain, LlamaIndex

Backend

Python (FastAPI), TypeScript (Node.js)

Data & Search

PostgreSQL, Redis, Pinecone / pgvector

Infrastructure

AWS / GCP, Docker, Terraform, GitHub Actions

Monitoring

Datadog, LangSmith, custom evaluation pipelines

What We Offer

Early-Stage Equity

Meaningful equity as an early engineer, so you share directly in the company's success.

Competitive Salary

Competitive base salary reflecting Bay Area market rates and your experience level.

Benefits & Wellness

Health, dental, and vision insurance. Flexible PTO and a team that respects work-life balance.

Growth & Learning

Work at the cutting edge of AI. Conference budget, learning stipend, and direct mentorship from senior leadership.

How to Apply

If you want to build AI systems that transform how wealth is managed and are excited about joining a founding engineering team, we would love to hear from you. Send your resume, a brief note on what excites you about AI in financial services, and any relevant links (GitHub, portfolio, publications) to:

Email: careers@wealthyminds.ai

• WealthyMinds AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.