Job Description
About Our Client
The hiring company is a small-sized enterprise operating in the Technology & Telecoms industry, specializing in providing innovative services. The company is known for its focus on cutting-edge technology and delivering high-quality solutions to its clients.
Job Description
About the job
We are looking for a hands-on Senior Full Stack & AI Engineer with 8-10 years of experience in designing, building, and deploying scalable, intelligent applications. The ideal candidate has a strong full-stack engineering foundation combined with practical experience in AI integration, agentic systems, and end-to-end solution delivery. You'll be responsible for driving technical execution across the stack - from architecture and data flow to front-end interfaces and production-grade deployment. Key Responsibilities
* Lead end-to-end delivery of AI-enabled full-stack applications - from design and architecture to implementation, testing, and production deployment.
* Design and build scalable, high-performance back-end systems (APIs, services, data pipelines) and intuitive front-end interfaces for AI-driven applications.
The Successful Applicant
* Integrate and operationalize AI/ML models into production workflows using LLMs, vector databases, and orchestration frameworks.
* Architect agentic AI systems capable of reasoning, automation, and multi-agent collaboration.
* Collaborate cross-functionally with product, design, and data teams to translate business goals into technical deliverables.
* Ensure technical excellence through high-quality, scalable, and maintainable code across the stack.
* Continuously evaluate and adopt emerging technologies in AI and software engineering to enhance system capabilities.
* Optimize applications and models for latency, scalability, and cost efficiency in production environments.
* Mentor junior engineers and promote best practices in architecture, code design, and deployment.
* Front-end: Strong experience with JavaScript/TypeScript and React.
* Back-end: Proficient in and Python.
* Cloud Platforms: Hands-on with AWS, GCP, or Azure cloud-native architectures.
* AI/ML Integration: Experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and similar frameworks for production-grade AI solutions.
* System Design: Deep understanding of APIs, microservices, data pipelines, and scalable system architecture.
* MLOps: Familiarity with deploying and managing AI/ML models in real-world applications.
* Project Leadership: Proven ability to lead and deliver complex technical projects independently.
* Soft Skills: Excellent problem-solving, communication, collaboration, and mentoring capabilities.
* 8-10 years of professional experience in full-stack software development, with a strong emphasis on back-end architecture and front-end implementation.
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related quantitative field.
* Certifications in cloud platforms (AWS/GCP/Azure) or AI/ML technologies are a plus.
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