You are viewing a preview of this job. Log in or register to view more details about this job.

AI Full-Stack Developer

Insomniac Hedge Fund Guy
Email

Full-Stack Developer — AI Agent Platform for Financial Services (Google Cloud / Vertex AI)

Full-Stack Developer — AI Agent Platform for Financial
Services (Google Cloud / Vertex AI)
Company: Insomniac Hedge Fund Guy
Location: Onsite - San Francisco
Compensation: $40–$50/hour + equity (from 20% option pool)
Reports To: Founder/CEO

About Us
Insomniac Hedge Fund Guy is building a next-generation platform for AI agents in financial
services — designed to create highly personalized, secure, and compliant user experiences
that feel intelligent, proactive, and human.
Our focus is agentic behavior: systems where AI agents can reason, retrieve knowledge,
maintain context, and execute workflows safely. We are building on Google Cloud Platform,
leveraging Vertex AI, modern RAG pipelines, secure memory systems, and production-grade
infrastructure to support real-world financial conversations and workflows at scale.
This is not a prototype. It’s a platform for agent-based financial experiences — built for security,
auditability, and scalability from day one.

Role Overview
We’re seeking a hands-on Full-Stack Developer to architect, build, and scale our AI agent
platform on Google Cloud. You will help deliver a secure, scalable system that supports high-
concurrency sessions, integrates with financial APIs, and meets the operational requirements of
regulated environments.
We’re looking for more than a contractor mindset — this is a role for someone who wants to be
a true teammate, take ownership, and build something meaningful. As an early team member,
you’ll have major influence over product direction and execution. Startups require intensity at
times, and we value someone energized by building — including being willing to push after
hours when needed to hit milestones.

Key Responsibilities

1) Agent Platform Architecture (Agentic Systems + GCP)
● Design and implement the end-to-end architecture for a multi-agent AI system with
shared memory, retrieval, and tool execution.
● Build infrastructure enabling agents to perform tasks safely: reasoning, workflow
execution, data handoff, and contextual continuity.
● Create scalable backend services to orchestrate agent flows, guardrails, conversation
state, and event-driven tool use.
● Develop APIs and middleware for workflow automation (lead gen, onboarding,
scheduling, CRM handoffs).

2) Vertex AI + RAG + Knowledge Systems
● Implement retrieval-augmented generation (RAG) pipelines for financial domain
knowledge (ingestion, chunking, embedding, indexing, evaluation).
● Leverage Vertex AI for scalable inference, model orchestration, and agent tooling.
● Build safety tooling: retrieval scoring, citation tracking, hallucination reduction, and
guardrail enforcement.
● Ensure consistent agent behavior across workflows and use cases.

3) Full-Stack Product Development (Production-Ready Systems)
● Build and maintain the application experience (Next.js/React) and supporting backend
services (Python/Node).
● Implement real-time chat / streaming interfaces (WebSockets or server-sent streaming)
with strong observability.
● Integrate authentication, session management, and analytics (OAuth2, Google Analytics,
telemetry).
● Develop internal dashboards for compliance, performance monitoring, and operational
support.

4) Security, Privacy & Compliance Engineering (Critical to the Role)

● Design secure storage and handling of confidential financial information, including
encrypted databases and strict access controls.
● Implement audit-ready logging: tool execution logs, conversation transcripts,
timestamps, summaries, and retention rules.
● Apply secure application development best practices: threat modeling, least privilege
access, secret management, secure APIs.
● Build privacy-first systems suitable for regulated environments.

5) Scalability & Reliability
● Architect the platform for high concurrency and reliability (thousands of simultaneous
sessions).
● Implement caching, rate limiting, fault tolerance, and cost-controlled scaling strategies.
● Build performance monitoring and alerting, with strong operational visibility into system
behavior.

Preferred Technical Stack / Experience
Google Cloud Platform (Strong Preference)
● Vertex AI (LLM orchestration / agent frameworks / model hosting)
● Cloud Run or GKE (production deployment)
● Pub/Sub (event-driven workflows)
● Cloud Storage (document ingestion / RAG)
● BigQuery (analytics / reporting)
● Cloud SQL / Firestore (structured + session storage)
● Secret Manager + KMS (security + encryption)
● VPC, IAM, identity controls (enterprise-grade security)

Languages Frameworks
● Python (FastAPI)
● TypeScript / Node.js
● Next.js + React
● LangChain / LlamaIndex or agent frameworks
● PostgreSQL, Redis
● Vector DB / Vector Search (Vertex AI Vector Search, Pinecone, Weaviate)

Integrations
● OAuth2
● Financial APIs / brokerages / custodians
● CRM integrations (Salesforce, Wealthbox)
● Analytics + monitoring pipelines

Qualifications
● 5–10 years full-stack experience building scalable systems in production.
● Strong experience on Google Cloud, including deployment and scaling patterns.
● Demonstrated ability to build and secure applications handling confidential or
regulated data.
● Proven success integrating APIs, databases, and third-party SDKs into reliable
architectures.
● Experience with conversational AI, RAG, agent frameworks, and vector search.

● Strong product instincts: ability to translate complex workflows into clean, intuitive UX.
● Startup mindset: autonomous, high ownership, strong judgment, and bias toward
execution.

What We’re Looking For
● A builder who takes ownership and treats the product like it’s theirs.
● Strong security instincts and confidence working with sensitive data.
● Deep interest in agentic AI systems, tools, memory, and safe workflow execution.
● Someone who thrives in fast-paced environments where progress matters and the
roadmap evolves quickly.
● A teammate who can collaborate closely with the Founder and push projects to
completion, including occasional after-hours effort when deadlines require it.

What We Offer
● $40–$50/hour (initial stage / demo build)
● Meaningful equity participation (from 20% option pool)
● Significant influence over architecture, product direction, and platform design
● Opportunity to grow into a long-term technical leader as the company scales
● A front-row seat to building an agentic AI platform for financial services on Google
Cloud