Job Description
About Red Compass Labs:
Red Compass Labs helps financial institutions deliver profitable, secure, end-to-end payment and financial crime services and solutions
Red Compass 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.
Red Compass 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 Red Compass Labs Red Flag Accelerator, the global most comprehensive database of modern slavery and human trafficking red flags for the financial industry. In 2020, the Red Flag Accelerator won the Pay Tech for Good Award.
Today, Red Compass Labs support its clients from its four offices in London, Singapore, Tokyo and Warsaw.
For more information about Red Compass, please visit AI Python Engineer
Experience: 5+ years
Job Location: Red Compass Labs Pune, Maharashtra, India (Hybrid)
Mission:
Imagine reducing a 14-day financial analysis task to just 2 hours. At Red Compass Labs, we don't just imagine—we've built it.
We're transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is Analyst Accelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance.
We’re 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'll tackle sophisticated challenges within a regulated, high-stakes environment, developing scalable AI that augments human expertise.
As an Senior Python 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.
De velop secure, scalable backend services and APIs (primarily Python/Fast API) deployed in Azure cloud environments.
Implement and enhance MLOps and Dev Ops practices, using Git Hub Actions, Azure Dev Ops 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:
We’re 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 P ython.
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 (Fast API).
O ur Technology Ecosystem:
Core AI & LLMs: Python, LLM frameworks such as Autogen, L ang Chain, P ydantic-AI, etc.
Retrieval-Augmented Generation (RAG) systems and M CP servers.
Backend & API Layer: F ast API, RESTful APIs, Azure Cloud, No SQL databases, Azure AI.
Front-end: T ype Script and React
Red Compass 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.
Red Compass Labs helps financial institutions deliver profitable, secure, end-to-end payment and financial crime services and solutions
Red Compass 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.
Red Compass 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 Red Compass Labs Red Flag Accelerator, the global most comprehensive database of modern slavery and human trafficking red flags for the financial industry. In 2020, the Red Flag Accelerator won the Pay Tech for Good Award.
Today, Red Compass Labs support its clients from its four offices in London, Singapore, Tokyo and Warsaw.
For more information about Red Compass, please visit AI Python Engineer
Experience: 5+ years
Job Location: Red Compass Labs Pune, Maharashtra, India (Hybrid)
Mission:
Imagine reducing a 14-day financial analysis task to just 2 hours. At Red Compass Labs, we don't just imagine—we've built it.
We're transforming the trillion-dollar payments industry through intelligent automation. At the heart of our mission is Analyst Accelerator.ai, our proprietary multi-agent AI platform built to accelerate complex analysis in global banking and compliance.
We’re 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'll tackle sophisticated challenges within a regulated, high-stakes environment, developing scalable AI that augments human expertise.
As an Senior Python 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.
De velop secure, scalable backend services and APIs (primarily Python/Fast API) deployed in Azure cloud environments.
Implement and enhance MLOps and Dev Ops practices, using Git Hub Actions, Azure Dev Ops 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:
We’re 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 P ython.
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 (Fast API).
O ur Technology Ecosystem:
Core AI & LLMs: Python, LLM frameworks such as Autogen, L ang Chain, P ydantic-AI, etc.
Retrieval-Augmented Generation (RAG) systems and M CP servers.
Backend & API Layer: F ast API, RESTful APIs, Azure Cloud, No SQL databases, Azure AI.
Front-end: T ype Script and React
Red Compass 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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