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.

Optional / Nice-to-Have Skills

• 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.

Qualifications

• 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.