AI Engineer

Job Description

About RedCompass Labs:

RedCompass Labs helps financial institutions deliver profitable, secure, end-to-end payment and financial crime services and solutions

RedCompass Labs provide advanced data-led AI payments testing technology as well as delivery-focused consulting, managed services, and world-class workshops on vast array of subjects including Future of Payments and ISO 20022.

RedCompass Labs is committed opening the doors of finance to all and keeping those inside safe. They are especially focused on disrupting financial crime that affects the most vulnerable. To this end, they have invested in R&D, data science and created the RedCompass Labs RedFlag Accelerator, the global most comprehensive database of modern slavery and human trafficking red flags for the financial industry. In 2020, the RedFlag Accelerator won the PayTech for Good Award.

Today, RedCompass Labs support its clients from its four offices in London, Singapore, Tokyo and Warsaw.

For more information about RedCompass, please visit www.redcompass.com

Mission:

Imagine reducing a 14-day financial analysis task to just 2 hours. At RedCompass Labs, we don&apost just imaginewe&aposve built it.

We&aposre transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is AnalystAccelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance.

Were seeking exceptional AI Engineers to join our foundational AI Engineering team. Your role: transform cutting-edge research and prototypes into robust, production-ready AI solutions. You&aposll tackle sophisticated challenges within a regulated, high-stakes environment, developing scalable AI that augments human expertise.

As an AI Engineer, you would:

You will take proven concepts from research and turn them into production-grade, client-facing AI solutions:

- Design, build, and scale sophisticated multi-agent workflows that automate complex financial analysis.
- Engineer robust Retrieval-Augmented Generation (RAG) pipelines leveraging financial rulebooks, regulatory documentation, and client knowledge bases.
- Develop secure, scalable backend services and APIs (primarily Python/FastAPI) deployed in Azure cloud environments.
- Implement and enhance MLOps and DevOps practices, using GitHub Actions, Azure DevOps pipelines, Docker containers, and Kubernetes orchestration.
- Collaborate closely with product managers, domain experts, and UX designers, converting complex business requirements into clear, impactful features.

Candidate Profile:

Were seeking product-centric engineers who thrive on complex challenges, rapidly acquiring new technical skills, and delivering impactful AI solutions.

- 5+ years of professional software engineering experience, with proven expertise developing and deploying production-grade systems.
- Strong proficiency in either Python (or Java).
- (If your background is primarily Java, you must be eager and able to rapidly acquire proficiency in Python through AI-driven self-learning and structured onboarding.)
- Experience or strong interest in modern AI and Large Language Model frameworks.
- Understanding (or strong interest) in embedding models, retrieval-based AI architectures (RAG), and vector databases.
- Familiarity with cloud-native software development, containerization and orchestration technologies.
- Commitment to learning and leveraging new technologies and AI tools rapidly and effectively.

Bonus Qualifications:

- Previous experience with multi-agent systems or complex workflow automation.
- Background in fintech, banking, payments, or compliance industries.
- Experience with high-performance API frameworks (FastAPI).

Our Technology Ecosystem:

- Core AI & LLMs: Python, LLM frameworks such as Autogen, LangChain, Pydantic-AI, etc.
- Retrieval-Augmented Generation (RAG) systems and MCP servers.
- Backend & API Layer: FastAPI, RESTful APIs, Azure Cloud, NoSQL databases, Azure AI.
- Front-end:TypeScript and React

Contract of employment with RedCompass Labs includes the following competitive benefits package:

- Up to 10% of annual earnings as a personal performance bonus
- Medical insurance for you and in the future also for your family
- Group Life Insurance
- WFH setup allowance
- 24 days annual holiday, 1 Company holiday day plus Public & Bank holidays
- 6 days of full-paid Sick Leave
- Training budget
- A bright and airy working environment in a brand-new office in Pune, with free snacks and beverages available

RedCompass Labs is committed to promoting and supporting a diverse and inclusive workplace, ensuring fair and equitable treatment for all. This fuels innovation and enables us to work better together with each other and for our clients.

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