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• AI-Powered Application Development:
  • Design, develop, and deploy backend services and applications that utilize LLM APIs (e.g., OpenAI, Google Gemini, Anthropic) to power new features and products.
  • Engineer and operationalize custom AI agents and intelligent workflows designed to automate complex, multi-step business processes.
• Full-Stack Software Engineering:
  • Build and maintain robust, scalable systems and APIs to support our AI and automation initiatives.
  • Own the entire development lifecycle: from collaborating on technical specifications and architecture to coding, testing, deployment, and maintenance.
  • Write clean, well-documented, and thoroughly tested code, adhering to software engineering best practices.
• Prototyping & Technical Exploration:
  • Conduct technical R&D and build rapid prototypes with emerging AI frameworks (e.g., LangChain, LlamaIndex), vector databases, and other new technologies to evaluate their potential for production use.
  • Translate successful prototypes into production-ready, maintainable software with a focus on performance, security, and scalability.
• Integration & Operationalization:
  • Integrate AI solutions with our existing applications, data sources, and third-party services.
  • Collaborate with DevOps and operations teams to ensure smooth deployment, monitoring, and scalability of new services in a cloud environment.

• 3+ years of professional software engineering experience, with a strong background in backend development, preferably using Python / PHP or TypeScript and API integrations, and database management.
• Bachelor's degree in Computer Science, or equivalent hands-on professional experience.
• Demonstrable, hands-on experience building applications that integrate with LLM APIs (e.g., OpenAI/GPT, Google Gemini, Anthropic Claude).
• Experience with modern AI development frameworks frameworks such as LangChain, LlamaIndex, or similar.
• Strong proficiency in designing, building, and consuming RESTful APIs.
• Solid understanding of software engineering fundamentals, including data structures, algorithms, version control (Git), and automated testing.
• A pragmatic "builder" mindset with a proven ability to ship software from concept to production.
• Keen to explore new technology, equipment and tools
• Always open to learn new things

Preferred (Nice-to-Haves):

• Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
• Experience deploying and managing applications on cloud platforms (AWS, GCP, Azure), particularly with serverless technologies (e.g., Lambda, Cloud Functions) or containerization (Docker, Kubernetes and GitHub Actions).
• Familiarity with MLOps principles for managing the lifecycle of AI models and applications.
• Front-end development experience (e.g., React, Vue.js) is a plus, but not required.
• Experience with application server and DevOps process and technology