Full Stack Developer - Artificial Intelligence

Role Overview :

We are seeking a dynamic Full Stack AI Developer who can work across frontend, backend, and AI/LLM integrations to build scalable, intelligent applications.

The ideal candidate should be passionate about AI-driven development, end-to-end application building, and modern engineering practices.

Key Responsibilities / KRAs :

- Develop end-to-end AI-driven web applications from concept to deployment.

- Integrate LLMs, GenAI models, and AI workflows into functional user features.

- Build and maintain backend services, APIs, and microservices using Python or TypeScript-based frameworks.

- Implement vector databases, RAG pipelines, embeddings, and AI retrieval workflows.

- Collaborate with product, engineering, and design teams for requirement gathering and delivery.

- Optimize application performance, security, and scalability across the tech stack.

- Conduct testing, debugging, and deployment of production-ready AI solutions.

- Maintain documentation for AI workflows, APIs, integrations, and deployment processes.

- Stay updated with the latest advancements in LLMs, GenAI, prompt engineering, and AI tools.

- Ensure best practices in coding, version control, and DevOps-friendly workflows.

Required Skillsets :

- Proficiency in Python, TypeScript, and JavaScript.

- Experience with frontend frameworks such as React or Angular.

- Hands-on backend development experience using FastAPI, Django, or Node-based frameworks.

- Understanding of LLM integration, RAG pipelines, LangChain, or LlamaIndex.

- Familiarity with vector databases like Pinecone, ChromaDB, Weaviate, or Faiss.

- Knowledge of microservices, API design, and secure engineering practices.

- Exposure to cloud platforms such as AWS, Azure, or GCP.

- Strong understanding of software development fundamentals, debugging, and performance optimization.

- Good problem-solving abilities and the ability to work in an agile environment.

Preferred Qualifications :

- Bachelors degree in Computer Science, Engineering, or related field.

- Prior experience working with GenAI or ML product development.

- Experience in deploying AI applications to cloud environments