Hiring For Generative AI Developers

Role & responsibilities

Experience: 520 Years
Role: Gen AI Developer / Lead / Architect
Location: PAN India
Employment Type: Full-Time

Job Summary

We are looking for experienced Generative AI Developers to design, develop, and deploy enterprise-grade AI solutions using Generative AI, Large Language Models (LLMs), RAG, Agentic AI, and AI/ML technologies.

The ideal candidate should have strong hands-on experience in building scalable AI applications and working across the complete AI development lifecycle—from requirement analysis and experimentation to deployment, monitoring, and optimization.

Key Responsibilities

• Design and develop Generative AI and LLM-based applications for enterprise use cases.
• Build RAG (Retrieval-Augmented Generation) solutions using vector databases and embedding models.
• Develop AI-powered chatbots, copilots, intelligent assistants, and automation solutions.
• Work with LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models.
• Develop and integrate AI agents / Agentic AI workflows using appropriate frameworks.
• Implement prompt engineering, prompt optimization, model evaluation, and response-quality improvements.
• Develop APIs and microservices for integrating Gen AI solutions with enterprise applications.
• Work with cloud AI services across AWS, Azure, or Google Cloud.
• Implement AI application security, responsible AI practices, data privacy, and governance.
• Optimize solutions for performance, scalability, latency, and cost.
• Collaborate with Data Scientists, ML Engineers, Architects, Product Managers, and business stakeholders.
• Mentor junior developers and contribute to technical architecture and solution design.

Required Technical Skills

Generative AI / LLM

• Strong hands-on experience with Generative AI and LLMs.
• Prompt Engineering and LLM application development.
• RAG architecture and implementation.
• Embeddings, vector search, semantic search, and knowledge bases.
• Experience with fine-tuning / model customization is an advantage.

AI / ML

• Strong Python programming skills.
• Understanding of Machine Learning and Deep Learning concepts.
• Experience with frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent.

Cloud & Engineering

• Experience with AWS / Azure / GCP AI and cloud services.
• REST APIs, microservices, Docker, and Kubernetes.
• CI/CD and DevOps/MLOps practices.
• Experience with vector databases such as Pinecone, FAISS, Weaviate, Milvus, or Azure AI Search.
• Strong understanding of databases, SQL, and data processing.