Snr AI And ML Engineer

Weekday AI (YC W21); Abu Dhabi; On-site; AED 77,000 - 154,000; Full time

Job summary

Weekday AI, backed by YC W21, seeks a Senior AI/ML Engineer to design, develop, and deploy production-grade AI/ML solutions for financial services. You will build AI agents, LLM-based apps, and data pipelines using Python, FastAPI, and modern ML frameworks.

You will transform business needs into scalable software, collaborating with finance and tech teams across risk, credit, and reporting. Expect hands-on work with MLOps, cloud-native deployments, and continuous delivery practices.

Qualifications

• 7+ years of AI/ML engineering, data science, software eng, or analytics engineering.
• Hands-on expertise in Python and modern ML frameworks.
• Experience building production-grade AI/ML applications beyond notebooks.
• Strong understanding of LLMs, Generative AI, RAG, vector databases, embeddings, and document intelligence.
• Experience developing APIs, data pipelines, dashboards, and model services.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for financial services use cases.
• Build LLM applications, RAG pipelines, AI agents, document intelligence solutions, and workflow automation tools.
• Develop scalable Python-based APIs, model services, dashboards, and data pipelines.
• Work with financial datasets and unstructured documents across risk, credit, treasury, and reporting.
• Mentor junior engineers on coding standards, testing, and deployment.

Skills

Python

Machine Learning

Generative AI

LLMs

RAG

Data Engineering

APIs

Cloud platforms

Docker

Kubernetes

CI/CD

PyTorch

TensorFlow

LangChain

LangGraph

LlamaIndex

Education

Bachelor’s or Master’s in CS/SE

Tools

FastAPI

Flask

Streamlit

SQL

Azure

AWS

GCP

Git

Job description

Job Description:

This role is for one of the Weekdays clients

Salary range: Rs 2000000 - Rs 4000000 (ie INR 20-40 LPA)

Experience: 7+ yrs

Location: Abu Dhabi, United Arab Emirates

Job Type: Full-time

We are seeking aSenior AI/ML Engineerto design, develop, and deploy production-grade AI and machine learning solutions for financial services use cases. This is a hands, role for an experienced professional with strong expertise inPython, Machine Learning, Generative AI, LLMs, RAG, Agentic AI, and Data Engineering.

The ideal candidate will be comfortable transforming complex business and financial requirements into scalable AI-powered applications. You will work closely with finance, quantitative, technology, and business teams to develop practical solutions across areas such as risk, credit, compliance, treasury, markets, and financial reporting.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for financial services use cases.
• BuildLLM applications, RAG pipelines, AI agents, document intelligence solutions, and workflow automation tools.
• Develop scalable Python-based APIs, model services, dashboards, and data pipelines.
• Work with financial datasets, including transaction data, credit data, market data, financial statements, and unstructured documents.
• Support AI solutions across risk management, credit, treasury, compliance, markets, corporate banking, and management reporting.
• Prototype innovative AI solutions rapidly and transform successful prototypes into production-grade applications.
• Design and implement solutions using technologies such asPython, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, FastAPI, Flask, Streamlit, LangChain, LangGraph, LlamaIndex, vector databases, embeddings, and RAG.
• Build and integrate cloud-native solutions usingAzure, AWS, or GCP, along with Docker, Kubernetes, Git, and CI/CD practices.
• Collaborate with finance and quantitative teams to translate complex methodologies into practical software solutions.
• Implement appropriate testing, logging, monitoring, security, and basic MLOps practices.
• Work with cross-functional teams to understand business requirements and deliver scalable solutions.
• Mentor junior engineers, developers, and analysts on coding standards, modelling practices, testing, and deployment.

What Makes You a Great Fit

• 7+ years of experience inAI/ML Engineering, Data Science, Software Engineering, or Analytics Engineering.
• Strong hands‑on expertise inPythonand modern machine learning frameworks.
• Proven experience building and deploying real‑world AI/ML applications rather than working exclusively with notebooks or prototypes.
• Strong understanding ofLLMs, Generative AI, RAG, agentic workflows, NLP, embeddings, vector databases, or document intelligence.
• Experience developing APIs, data pipelines, dashboards, and production-grade model services.
• Familiarity with SQL, structured databases, cloud platforms, containers, CI/CD, testing, and deployment practices.
• Strong problem-solving and analytical skills with the ability to work through ambiguous business challenges.
• Ability to communicate effectively with both technical teams and finance/business stakeholders.
• Exposure tobanking, fintech, payments, insurance, asset management, consulting, or capital marketsis highly valuable.
• Knowledge of financial use cases such as credit risk, fraud, KYC, treasury, trading, portfolio analytics, regulatory reporting, or financial document processing is an advantage.
• A practical, delivery‑focused mindset with the ability to build solutions quickly and continuously improve them for production use.

Requirements: