Senior Applied AI Engineer

Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join Fekra Technologies as a Senior Applied AI Engineer to work on real-world AI solutions within the banking and financial services domain. Design and build LLM-powered applications, develop RAG pipelines, and integrate AI models with internal systems and databases. Collaborate with product and business teams to deliver practical business value.

Key Highlights
Design and build LLM-powered applications
Develop RAG pipelines
Integrate AI models with internal systems and databases
Technical Skills Required
Python Large Language Models (LLMs) RAG systems LangChain / LlamaIndex Vector Databases (FAISS, Chroma, Pinecone, etc.) FastAPI / Flask Docker REST APIs AWS / Azure / GCP
Benefits & Perks
Competitive salary
100% remote work
Flexible work options
Career growth
Collaborative culture

Job Description


📌 Please read the job description carefully and ensure your CV is fully updated


📌 Position: Senior Applied AI Engineer

📍 Location: 100% Remote – Flexible, work from anywhere

⏳ Job Type: Full-time, project-based (3–6 months with possible extension)

💰 Salary: Competitive (Based on experience)

🗣 Language: Must be fluent in English

💼 Experience Required: 5+ years in AI/ML engineering

🚀 Start Date: Immediate


🔹 About the Role

We are looking for a Senior Applied AI Engineer to join our growing team and work on real-world AI solutions within the banking and financial services domain.

This is NOT a research role and NOT a pure data science position.

We need a hands-on AI engineer who can:

  • Build intelligent systems
  • Deploy production-grade AI solutions
  • Integrate LLMs with enterprise environments
  • Deliver practical business value

If you are passionate about turning AI into working systems rather than just experiments, this role is for you.


🔹 What You Will Be Working On

You will be responsible for:

  • Designing and building LLM-powered applications for enterprise use
  • Developing RAG pipelines to interact with large knowledge bases
  • Building AI assistants for internal banking operations
  • Automating document processing and information extraction
  • Creating intelligent chatbots and AI-driven workflows
  • Integrating AI models with internal systems and databases
  • Deploying AI services using APIs and microservices
  • Optimizing models for performance, security, and compliance
  • Working with structured and unstructured financial data


🔹 Core Responsibilities

  • Develop end-to-end AI solutions from idea to deployment
  • Build secure and scalable APIs using FastAPI / Flask
  • Work with vector databases and retrieval systems
  • Deploy AI models on cloud or on-prem environments
  • Collaborate with product and business teams
  • Ensure AI systems follow enterprise security standards
  • Maintain and enhance existing AI platforms
  • Optimize latency, accuracy, and system performance


🔹 Required Skills & Experience

  • 4+ years of experience in Applied AI / Machine Learning
  • Strong experience with Python
  • Hands-on experience with:

Large Language Models (LLMs)

RAG systems

LangChain / LlamaIndex

Vector Databases (FAISS, Chroma, Pinecone, etc.)

  • Experience in building production AI systems
  • Strong knowledge of:

FastAPI / Flask

Docker

REST APIs

  • Experience with at least one cloud platform:

AWS / Azure / GCP

  • Solid understanding of:

System integration

Databases

Secure enterprise environments


🔹 Nice to Have

  • Experience in banking or fintech projects
  • Computer Vision experience
  • MLOps knowledge
  • Experience with Arabic NLP
  • Knowledge of compliance and secure AI deployment


Why Join Fekra?

🏆 ISO-Certified & ISTQB Platinum Partner – Be part of a globally recognized company.

🌍 100% Remote – Work from anywhere!

💰 Competitive Salary

🚀 Exciting Projects – Work on cutting-edge fintech and cloud-based applications.

📈 Career Growth – Enjoy continuous learning and professional development.

💡 Flexible Work Options – Part-time and full-time remote opportunities.

🤝 Collaborative Culture – Join a dynamic, supportive, and innovative team.


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