AI Engineer

About Cardo AI

Cardo AI builds next generation technology for asset-based finance, private credit, and structured products. Our platform powers institutional investors, banks, and fintechs with AI-driven data management, reporting, and analytics for complex debt portfolios.

For more details, visit our website at

Role Overview

We are looking for a motivated AI Engineer to join our Data Science team and help drive Cardo AI's rapid growth.

As an AI Engineer, you possess a strong engineering background with a passion for building and deploying intelligent, end-to-end AI systems. You have a comprehensive understanding of the entire AI development lifecycle, from data processing and model prototyping to production deployment and monitoring. You are fluent in modern AI concepts, including Generative AI, LLMs, and agentic workflows, and are familiar with the operational cycles of LLMOps/MLOps (e.g., CI/CD/CT loops).

You will spend most of your time embedded within the Data Science Team, where you will be instrumental in transforming innovative models into robust, scalable products. You will also partner with multiple internal teams to build AI solutions that directly enhance data integration, analysis, reporting, and operational efficiency.

As an AI Engineer at Cardo AI, you will:

Design, build, and deploy end-to-end AI solutions, including generative AI applications and intelligent agentic systems.

Develop and maintain the infrastructure for building, training, and serving AI models at scale.

Collaborate closely with Data Scientists and ML Engineers to productionize AI prototypes, ensuring they are performant, reliable, and scalable.

Architect and implement complex AI workflows, orchestrating multiple agents for tasks involving advanced retrieval (RAG), code generation, and function calling.

Own and manage the full AI lifecycle, implementing best practices for CI/CD, testing, model versioning, and monitoring (MLOps/LLMOps).

Partner with Software and Data Engineering teams to ensure seamless data and runtime integration for AI services.

Act as a key resource on AI system architecture, advising teams on best practices for building robust and scalable solutions from project inception.

Identify, evaluate, and implement new technologies and tools to advance the capabilities and efficiency of our AI systems.

Help define and standardize our frameworks for LLM evaluation, testing, and observability.

Required Skills:

AI Systems & Development

LLM Application Development: Proven experience designing and building LLM-powered workflows, including structured outputs, tool/function calling, and agentic systems.

RAG: Deep understanding of Retrieval-Augmented Generation techniques, including vector search (e.g., Elasticsearch), hybrid search, and advanced chunking strategies.

Evaluation Mindset: A strong focus on quality and reliability, with experience designing task-level
evaluations, implementing guardrails, and writing robust regression tests for prompts and agents.

Infrastructure & Operations (MLOps/AIOps)

MLOps Principles: Strong knowledge of the CI/CD/CT framework and experience operationalizing AI models.

Model Serving: Understanding of model serving paradigms (e.g., serverless scaling, multi-tenant serving) and hands-on experience with frameworks like KServe, FastAPI, or AWS Lambda.

Tooling: Familiarity with MLOps orchestration frameworks (e.g., Kubeflow), model tracking tools (e.g., MLflow), and monitoring solutions (e.g., Prometheus).

Cloud & Software Engineering

Cloud Proficiency: Solid understanding of IaaS principles and networking in a major cloud environment (AWS, GCP, or Azure).

Containerization & Orchestration: Deep knowledge of Docker and Kubernetes fundamentals (CKAD or equivalent knowledge).

Infrastructure as Code (IaC): Experience with Terraform or equivalent tools.

Software Engineering: Strong Python programming skills and a firm grasp of software design principles.

GitOps: Good understanding of GitOps principles and technologies (e.g., Argo CD, Git pipelines).

Data Engineering

Solid understanding of data engineering principles and experience with ETL processes in Apache Spark or SQL.

Preferred Qualifications:

Experience with Deep Learning frameworks like PyTorch or Keras, particularly concerning infrastructure (e.g., GPU integration).

Hands-on experience with Dockerized GPU deployment (CUDA) for both single and multi-GPU setups.

Familiarity with semi-structured data models (e.g., Elasticsearch).

Professional experience in Fintech or credit, especially in private credit, banking, or insurance.

Experience with advanced techniques like model fine-tuning or retrieval training (e.g., contrastive learning).

Expertise with AWS services (e.g., Bedrock, SageMaker, EC2, S3, Glue, CloudWatch).

Experience fine-tuning and deploying models from ecosystems like Hugging Face.

Why Cardo AI?

Joining Cardo AI is more than just a job, it's an opportunity to make a real impact. Your work will directly shape the direction of the company and the evolution of our cutting-edge products. By joining our team, you'll be influencing the efficiency and growth of the Private Credit and Asset-Based Finance markets, empowering our clients and redefining the industry.

At Cardo AI, Excellence is our standard. We are driven by innovation, passion, and the courage to take risks. We invest in our people, offering recognition, mentorship, and career growth opportunities for top performers.

What We Offer

 Independence & Impact: Take ownership of your work and make data-driven decisions that shape the industry.  Growth & Learning: Enjoy training, mentorship, and the flexibility to evolve within the company. 
 Work-Life Balance & Flexibility: Enjoy a healthy balance with flexible working options that support both your personal and professional life. 
 Challenging Problems to Solve: Tackle complex, impactful challenges that will sharpen your skills and push your limits. 
 A Culture of Care: We believe in teamwork, transparency, and a customer-first approach to everything we do.

Benefits & Compensation

Embrace hybrid work and enjoy flexible hours that suit your lifestyle. 
 Inspiring Rewards: Competitive salary, performance-based bonuses, and jaw-dropping quarterly bonuses for top performers. 
 Work Hard, Play Harder: Enjoy regular social events and amazing company retreats each year. 
 Bring Brilliance: Be rewarded generously for referring talented friends to our team. 

 Fuel Your Success: Stay energized with free office fruits, lunch options and irresistible espresso coffee
 Claim Your Stake: Participate in our exclusive stock option plan and share in our success.

Ready to Redefine Work? Join Cardo AI and let boldness and creativity reign. Together, we'll shape the future of fintech