Senior Full-Stack Engineer

3 days ago

Cairo, Cairo, Egypt AppBeam Technology BV Full time 85,000 - 110,000 per year

Role Overview

FroggyTalk, an innovative platform providing communication & integeration solutions for Africans in diaspora is looking for a highly experienced Senior Full-Stack Engineer with deep expertise in AI tools and system integration to join our core product team. You will lead the design and development of FroggyTalk's new AI-powered solution, Train LLM, integrate language models, speech recognition, translation, and intelligent workflows into a seamless user experience.

Key Responsibilities

  • Design and develop AI-driven web and mobile applications and backend systems that power FroggyTalk's AI solutions.
  • Build, train, and fine-tune Large Language Models (LLMs) on domain-specific immigration, policy, information and communication datasets.
  • Create and optimize AI pipelines for data preprocessing, training, evaluation, and deployment.
  • Integrate LLMs and AI models into production using APIs, vector databases, and RAG (retrieval-augmented generation).
  • Develop Microservices and APIs ) for intelligent conversation, translation, and automation features.
  • Architect secure, scalable cloud infrastructure on AWS (EC2, SageMaker, Lambda, RDS, S3, Bedrock).
  • Build responsive, user-friendly front-end interfaces using
  • Apply prompt engineering, model evaluation, and continuous improvement strategies for accuracy and performance.
  • Ensure systems are optimised for multilingual, real-time user interactions.

Required Qualifications

  • 7+ years of experience as a Full-Stack Software Engineer with focus on AI, delivering scalable, secure production systems.
  • Strong programming skills in Python, , and TypeScript/JavaScript.
  • Proven track record of building and integrating AI/ML systems, including LLMs, NLP pipelines, speech recognition, or recommendation engines.
  • Hands-on experience with AI frameworks and APIs such as OpenAI, LangChain, LlamaIndex, AWS Bedrock, and Hugging Face.
  • Solid background in AWS cloud architecture, CI/CD pipelines, and serverless or microservice-based design.
  • Proficient in REST/GraphQL API design, software scalability, and system security best practices.
  • Strong database knowledge across SQL (PostgreSQL, MariaDB) and NoSQL (MongoDB, DynamoDB) technologies.
  • Excellent understanding of system design principles and modern application architectures.
  • Experience deploying retrieval-augmented generation (RAG) pipelines with vector databases (e.g., Pinecone, Weaviate, FAISS).

What We Offer

  • Competitive compensation
  • The chance to shape a next-generation AI integration platform from the ground up
  • Fully remote and flexible work culture
  • Collaborative, global, innovation-driven environment
  • Continuous learning opportunities in AI/ML and emerging technologies
  • Stock options are a possibility.

Job Type: Full-time

Pay: E£85, E£110,000.00 per month

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