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Full Stack AI Engineer
Location: Hyderabad, India (On-site)
Type: Full-time
Reports to: Founder / CTO
About the Company
We are hiring for a London-based FinTech startup that is building agentic AI solutions for financial services operations. The company is transforming how financial institutions manage data operations by automating the entire lifecycle from data ingestion and transformation to intelligent matching, break detection, and resolution eliminating manual spreadsheet-driven workflows.
As one of the early engineering hires, you'll work closely with the technical founder, contribute to a production-grade AI-powered SaaS platform, and have the opportunity to own features end-to-end while helping shape the product and engineering culture from the ground up.
The Role
You will work across the full stack of a production SaaS platform — backend APIs, frontend UI,
data pipelines, and AI-powered features — to build, extend, and ship product capabilities to
financial institution clients. This is a high-ownership role where you will design and implement
features end-to-end, not just pick up tickets.
What You'll Work On
Backend Development — Build and extend Django REST APIs, design data models,
and implement business logic for reconciliation workflows (ETL pipelines, matching
engines, break management).
Frontend Development — Develop rich, responsive UI features using React/Next.js
with TypeScript — data tables, configuration editors, dashboards, and real-time status
views
AI/LLM Integration — Build and improve AI-powered features including intelligent
document extraction, AI-assisted matching rules, conversational configuration agents,
and automated break analysis
Data Processing — Work with high-performance data processing pipelines using
Polars/Pandas for financial data transformation/reconciliation at scale.
Asynchronous Workflows — Design and implement distributed task workflows using
Celery for ETL orchestration, matching execution, and report generation
Testing & Quality — Write comprehensive tests (pytest, Vitest, Playwright) and maintain
high code quality in a fast-moving codebase
Production Support — Debug and resolve production issues alongside the founder;
understand the full request lifecycle from browser to database
What We're Looking For
Must Have
optimisation, migrations.
need the curiosity to understand reconciliation workflows deeply.
environment.
Great to Have
orchestration, LangChain/LangGraph)
settlements, NAV, cash management)
Why Join our team
day one
pixel-perfect UI. Your code ships to production the same week
document extraction — not just buzzwords on a slide deck
no layers of middle management
build. Your work matters on day one
company scales
Job ID: 152036829
Skills:
Terraform, AWS ECS, Data Integration, Data Lake, Python, OpenAI API, enterprise data platforms, third-party APIs
Skills:
graph databases , Data Manipulation, API design, Sql, Nosql, Typescript, Docker, Python, AWS, LangChain, vector databases, data lakes, Statistics, feature engineering, synthetic data generation
Skills:
Kubernetes, Sql, Github, Typescript, React, FastAPI, Python, Nosql, Docker, Git, Flask, Javascript, AutoGen, LangGraph
Skills:
Spring Boot, Angular, Microservices, React, Docker, Openshift, Python, AWS, Java, Restful Apis, Kubernetes, pgvector, Google Gemini, Pinecone, Azure OpenAI, LangGraph, RAG Retrieval-Augmented Generation, Vector Databases, ChromaDB, LangChain, CrewAI, AutoGen, NoSQL Databases, FAISS, Weaviate, Prompt Engineering
Skills:
Java, Cloud Services, Prometheus, Node.js, Grafana, Sql, Tensorflow, Nosql, Typescript, Cloudwatch, Pytorch, Javascript, Databricks, Containers, Splunk, Python, Kubernetes, AWS, scikit-learn, Hugging Face, OpenTelemetry, infrastructure as code