Hands-on experience in Generative AI and LLM application development.

Solid in Developing RESTFUL services.

Strong proficiency in Type Script or Python for AI-driven backend development.

Experience with Lang Chain, Llama Index, or similar frameworks for LLM orchestration.

Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, function calling).

Experience working with vector databases (Pinecone, ChromaDB, FAISS, Weaviate).

Knowledge of API development (REST, GraphQL) and microservices architecture.

Familiarity with cloud AI services (AWS Bedrock, Sage Maker, GCP Vertex AI, Azure OpenAI).

Understanding of natural language processing (NLP), embedding, and transformers.

Version control using Git and experience with CI/CD pipelines.





RequirementsAI-focused developer with 5 years of experience building generative AI and LLM-based applications. Strong in Python/Type Script, RESTful APIs, and LLM orchestration frameworks like Lang Chain and Llama Index. Experienced in prompt engineering, vector databases, and cloud AI platforms, with a solid foundation in NLP and scalable microservices architecture.

Required Skills and Qualifications:
Strong analytical and problem-solving skills.
Ability to write clear and structured documentation.
Excellent collaboration and communication skills.
Passion for AI innovation and continuous learning.

📌 GEN AI Developer (India)
🏢 Mags Consulting
📍 India