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Senior AI Engineer, (Egypt-Based, Hybrid)

Description

Who We Are:


At InVitro Capital, we’re not just building startups—we’re crafting solutions that redefine industries and solve real-world challenges. As a venture studio, we launch and scale transformative companies designed to deliver meaningful impact.
From AI-driven platforms to disruptive B2B technologies, we thrive at the intersection of innovation and execution. If you’re ready to collaborate with visionaries, work on groundbreaking projects, and help define the future, this is your opportunity to lead and excel.

Job Overview:


Are you a senior AI innovator with a proven track record of delivering high-performance, visually stunning user experiences? We’re seeking a Senior AI Engineer with expert-level of leading the development of cutting-edge platforms that disrupt industries like healthcare, finance, and commerce. This is your opportunity to make an outsized impact, drive innovation, and mentor the next generation of front-end talent.

What You’ll Do:

  • AI Solutions Development: Design and implement AI-driven systems, including automating workflows such as data scraping, OCR scanning, PDF processing, and care plan generation.
  • Model Strategy Optimization: Evaluate and apply the best-fit model strategies—training from scratch, fine-tuning pre-trained models, leveraging ensemble learning, or using cloud-based LLMs (e.g., GPT, Claude, Gemini).
  • AI Agent Engineering: Design, implement, and test AI agents capable of task automation, decision support, and multi-step reasoning using tools such as LangChain, Rasa, Crew AI, and Windsurf.
  • Model Accuracy Enhancement: Improve models through online learning, user feedback loops, and retraining pipelines based on real-world outcomes.
  • Client-Facing Collaboration: Work directly with stakeholders to gather requirements, propose AI solutions, and communicate technical strategies clearly.
  • Language Model Integration: Use advanced tools like ChatGPT, Claude, and open-source LLMs to build smart assistants, workflows, and agents that solve real-world problems.
  • Cloud Deployment: Deploy AI applications in cloud environments (AWS, Azure, or GCP) with a focus on scalability, performance, and production readiness.
  • Data Preparation & Curation: Clean and curate datasets for AI consumption, focusing on enhancing quality, structure, and annotation standards.
  • Innovation & Efficiency: Continuously identify bottlenecks and propose AI-powered optimizations to improve processes and reduce manual workloads.
  • Agent-Driven Workflows: Architect and optimize agentic pipelines using tools like Crew AI or LangGraph, integrating reasoning chains and tool-use.

Who Are you:

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Experience: 6+ years in AI solution engineering with a strong focus on process automation and client-facing collaboration.
  • AI Agent Experience (Required): Demonstrated experience in designing, building, testing, and deploying AI agents using frameworks such as Crew AI, Windsurf, LangChain, Rasa, or equivalent toolkits.
  • Technical Expertise: Proficient in using and integrating AI tools like ChatGPT, OCR technologies, and workflow automation frameworks.
  • Machine Learning Expertise: Proven experience in model development, transfer learning, ensemble methods, and online learning strategies. Familiarity with MLOps practices for model monitoring and retraining workflows.
  • Data Engineering Skills: Proficiency in data preprocessing, handling structured and unstructured data, and managing ETL pipelines for AI applications.
  • Cloud Knowledge: Hands-on experience deploying AI applications on Azure or AWS, with a strong understanding of cloud-native services and scalability best practices.
  • DevOps Understanding: Familiarity with CI/CD pipelines, version control systems, and infrastructure-as-code tools to support seamless deployment of AI solutions.
  • Problem-Solving Skills: Demonstrated ability to analyze complex business or technical processes and develop impactful AI-driven solutions.
  • Communication Skills: Strong interpersonal and written communication skills, capable of explaining technical solutions to non-technical stakeholders.
  • Innovation Mindset: Passion for staying updated on emerging AI trends, with a proactive attitude toward proposing and implementing creative solutions to enhance efficiency and drive

Why Join Invitro Capital?

  • Work on cutting-edge AI and B2B technologies: We are at the forefront of AI and B2B innovation. Our employees have the opportunity to work on the latest and greatest technologies, and to make a real impact on the SME market.
  • Help build and grow successful startups: We are committed to helping our portfolio companies succeed. Our employees play a vital role in building and growing these companies. This is not a 9 to 5 job. This is a startup environment with a give-it-all mentality.
  • Work with some of the best minds in the industry: You will be part of a team of seasoned entrepreneurs and product leaders who are on a mission to make a difference in the SME space. You will have the chance to work with some of the best minds in the industry.
  • Supportive and collaborative work environment: We believe in creating a supportive and collaborative work environment where our employees can thrive.
  • Competitive compensation: We offer a competitive compensation package, with salaries ranging from [$2,500 to $3,000 monthly], payable in USD

Average salary estimate

$33000 / YEARLY (est.)
min
max
$30000K
$36000K

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What You Should Know About Senior AI Engineer, (Egypt-Based, Hybrid), Yalent

At InVitro Capital, we believe innovation is the heartbeat of our success, and we're looking for a Senior AI Engineer to join our vibrant team in a hybrid work environment. Are you ready to take on an exciting challenge and make a real impact? You will lead the development of AI-driven solutions that can revolutionize industries such as healthcare and finance. With your expertise, you’ll design and implement state-of-the-art AI systems that automate workflows, enhance model accuracy, and create intelligent agents using the latest tools including ChatGPT and LangChain. Your role will also involve collaborating closely with stakeholders, diving deep into their needs, and crafting solutions that address real-world problems. You'll have the opportunity to work on advanced cloud deployments, ensuring that our applications are not just effective but also scalable and robust. As a mentor, you will guide the next generation of talent, sharing your profound knowledge in AI agent engineering and model optimization. Plus, at InVitro Capital, you’ll find a supportive and dynamic culture where your ideas can flourish. Don’t miss your chance to be part of a mission-driven team that’s passionate about redefining industries!

Frequently Asked Questions (FAQs) for Senior AI Engineer, (Egypt-Based, Hybrid) Role at Yalent
What are the responsibilities of a Senior AI Engineer at InVitro Capital?

The Senior AI Engineer at InVitro Capital will focus on designing and implementing innovative AI-driven systems that optimize workflows in various sectors. This role involves model strategy optimization, AI agent engineering, and enhancing model accuracy through cutting-edge techniques. Collaboration with stakeholders to define needs and establish clear communication on technical strategies is also key.

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What qualifications are required for the Senior AI Engineer position at InVitro Capital?

Candidates looking to apply for the Senior AI Engineer position at InVitro Capital should possess a Bachelor’s degree in Computer Science or a related field, alongside at least 6 years of specialized experience in AI solution engineering, particularly in client-facing environments. Proven experience in AI agent design and development using specific frameworks is essential.

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What technologies will a Senior AI Engineer at InVitro Capital work with?

The Senior AI Engineer will engage with a variety of advanced technologies, including AI tools like ChatGPT, OCR solutions, and automation frameworks such as Crew AI and LangChain. Familiarity with cloud environments like AWS, Azure, or GCP is also crucial for deploying scalable AI applications.

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What does the work environment look like for a Senior AI Engineer at InVitro Capital?

At InVitro Capital, the work environment is dynamic and supportive, designed to foster collaboration and innovation. Employees thrive in a hybrid setup that encourages flexibility while working on cutting-edge AI and B2B technologies, contributing significantly to startup growth and success.

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What growth opportunities are available for a Senior AI Engineer at InVitro Capital?

The Senior AI Engineer will have ample opportunities for personal and professional growth, including mentorship roles, exposure to innovative projects, and collaboration with industry leaders. By staying updated on AI trends and participating in impactful projects, you can dramatically shape your career while contributing to transformative startups.

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Common Interview Questions for Senior AI Engineer, (Egypt-Based, Hybrid)
Can you explain your experience with developing AI agents for automation?

Highlight specific projects where you've designed, built, and tested AI agents. Focus on the frameworks you used, such as Crew AI and LangChain, and explain how you tackled challenges and improved automation efficiency.

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How do you approach model accuracy enhancement in AI projects?

Discuss your methodology for improving model accuracy, such as user feedback loops, retraining pipelines, and leveraging online learning. Provide examples of models you have improved and the outcomes of these optimizations.

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What strategies do you utilize for cloud deployment of AI applications?

Discuss your experience with deploying AI applications in various cloud environments like AWS or Azure. Highlight the importance of scalability and performance in your deployment strategies, mentioning relevant services and tools you've used.

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How do you handle data preparation and curation for AI projects?

Describe your approach to cleaning and curating datasets, focusing on maintaining quality and accuracy. Mention any specific data preprocessing techniques you've utilized in previous roles.

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What techniques do you use for evaluating AI model strategies?

Explain how you assess different model strategies, including when to use transfer learning, fine-tuning, or ensemble methods. Share your thought process and the criteria you consider in making these decisions.

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Can you provide an example of a challenging client interaction and how you resolved it?

Share a specific example where you had to communicate complex technical strategies to non-technical stakeholders. Detail the challenges faced and how effective communication helped bridge the understanding gap.

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What is your experience with CI/CD pipelines in AI development?

Discuss your understanding and experience with continuous integration and deployment practices tailored for AI solutions. Mention specific tools or frameworks you have used to streamline this process.

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What motivates your passion for AI innovation?

Share personal stories or experiences that have fueled your interest in AI innovation. Mention specific projects or technologies that excite you and how they motivate your work.

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How do you stay updated with the latest trends in AI technology?

Discuss your methods for keeping abreast of AI advancements, such as attending conferences, participating in online courses, or engaging with industry communities. Highlight any recent trends you find particularly enthralling.

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What would you consider your greatest achievement in AI engineering?

Identify a major accomplishment in your career related to AI engineering. Explain the project, the impact it had, and how it showcases your skills and contributions to the field.

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DATE POSTED
April 10, 2025

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