AdvisoryAI is building the AI co-pilot that's transforming wealth management. We automate the tedious middle-office work that buries financial advisors, freeing them to focus on what matters: their clients.
Founded by Entrepreneur First alumni, we've scaled to thousands of daily active users and are currently valued at £100 million
. We're raising our
Series A in 2025.
We need cracked Software Engineer
to help us scale. You'll build the infrastructure powering the next generation of financial advice—working directly with founders, shipping fast, and capturing meaningful equity in a rocket ship company.
This is your chance to join early, build something that matters, and win big.
🧑🏻💻 Our Current Tech
- Infrastructure
: Python 3.11+, FastAPI, React/TypeScript, AWS (Lambda, ECS, Bedrock, SageMaker), PostgreSQL + Qdrant, Redis, Docker, Kubernetes, GitHub Actions, Terraform
- Vector Search
: Pinecone, pgvector, hybrid retrieval (dense + sparse + re-ranking)
- Fine-tuning
: LoRA, full fine-tuning pipelines, RLHF for compliance alignment
- MLOps
: LangSmith for tracing, custom evaluation frameworks, A/B testing infrastructure
- Monitoring
: Real-time hallucination detection, PII scanning, cost tracking, latency monitoring
Location:
India / UK
More than just code, you'll be:
- A builder
: Design production LLM systems handling 10K+ daily requests, build meta-prompt engines for regulatory compliance, and architect RAG systems with <100ms query times
- A collaborator
: Work alongside founders and engineers shipping ML infrastructure that directly impacts thousands of financial advisors
- An innovator
: Push boundaries with model fine-tuning, advanced prompt engineering, and MLOps infrastructure for mission-critical financial applications
We're looking for:
In addition to the following technical skills, we are looking for PROBLEM SOLVERS
with an entrepreneurial mindset.
- Strong Python development with production ML/LLM systems
- Experience deploying and monitoring LLMs at scale
- Deep understanding of prompt engineering, RAG architectures, and LLM evaluation
- Comfortable with AWS/GCP services (Lambda, Bedrock, SageMaker) and cloud infrastructure
- Very comfortable with PostgreSQL/Qdrant and vector databases
- Experience building scalable systems (APIs, Docker, Kubernetes, distributed systems)
Our values
We’re a small team with big dreams - and the culture we create is just as important to us as the product we’re building.
📈 Growth oriented
Slope y intercept. We invest in people and growth as the company grows.
💚 Humility
Everyone has a lot to give and a lot to learn. Egos are not allowed.
🌟 Customer focused
We love our customers. We make decisions by focusing relentlessly on them - and accept if this means changing our ideas. Customer success is our success.
💡 Intellectual honesty
We believe in creating an environment where the best ideas win and acknowledging when we are wrong.
👾 Hack to success
We move fast and take big swings. We always aim for a solution that addresses 80% of the problem in 20% of the time. We make educated bets, launch MVPs, and iterate.
🔥 Having fun
Be unapologetically you! We love our game-nights, ping pong tournaments, bufo emojis, and cow jokes.
Company Benefits
Not sold yet? Check out some benefits you’ll have access to as well:
🧧 Competitive compensation and equity
✈️ Flexible work culture
🌻 Unlimited days paid time off every year
🍱 Free lunch and dinners
💻 $700/year work setup stipend
🌴 Annual team offsite
🌿 Unlimited snacks and caffeine (because brilliant ideas need fuel).
