Full Stack Software Developer / AI Engineer

Key Responsibilities

• Design, develop, and maintain responsive, high-quality web applications across the full stack.
• Collaborate with product managers and designers to translate business requirements into technical specifications.
• Develop and integrate RESTful APIs.
• Ensure application scalability, performance optimization, and security compliance.
• Implement CI/CD pipelines and automated testing for reliable and repeatable deployments.
• Work with cloud platforms (Azure, AWS, or GCP) for hosting, monitoring, and scaling applications.
• Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives) and contribute to continuous improvement.
• Contribute to the design and integration of AI-driven features (conversational ai, MCP, RAG, intelligent assistants, data-driven insights, etc.).
• Stay current with emerging technologies and advocate best practices in software engineering and AI adoption.

Core Technical Skills

• Frontend: React.js / Angular, TypeScript, HTML5, CSS3, Tailwind / Material UI.
• Backend: Node.js / .NET / Python (FastAPI / Django / Flask)
• Database: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cosmos DB).
• API Development: REST, GraphQL, WebSocket.
• Cloud & DevOps: Azure / AWS / GCP, Docker, Kubernetes, GitHub Actions / Azure DevOps / Jenkins.
• Testing: Playwright, NUnit, or similar frameworks.
• Version Control: Git, GitHub / Azure DevOps Repos.

• AI & Machine Learning: Familiarity with LLMs (OpenAI, Anthropic, Mistral), LangChain, or LangGraph.
• Conversational AI: Experience with tools like Dialogflow, Botpress, or Twilio Conversations.
• Agentic AI: Exposure to autonomous agents, workflow orchestration (n8n, make, or similar), and context-aware automation.
• Data Processing: Knowledge of data pipelines, vector databases (Pinecone, Weaviate, Chroma), or embedding-based search.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Strong problem-solving and collaboration skills.
• Ability to work independently and deliver high-quality code in an Agile environment.
• Passion for continuous learning and emerging technologies, especially in AI and automation.

The Company reserves the right:

1. To convene only the best qualified candidates to participate in the selection exercise.

2. Not to make any appointment following this advertisement.