Artificial Intelligence Developer

Role & responsibilities

We are looking for a highly motivated Generative AI Developer to design, develop, and deploy enterprise-grade Gen AI applications and intelligent AI assistants. The candidate will work on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and enterprise AI integrations to build scalable, production-ready AI solutions.

Key Responsibilities

• Design and develop Generative AI applications for enterprise use cases
• Build and deploy AI solutions using LLMs, AI agents, and modern Gen AI frameworks
• Develop AI-powered chatbots, copilots, intelligent search, document understanding, and workflow automation solutions
• Implement RAG pipelines using vector databases and enterprise knowledge sources
• Create APIs and backend services for AI model integration
• Work on prompt engineering, context management, evaluation, and response optimization
• Fine-tune and optimize model performance, inference efficiency, and scalability
• Integrate AI solutions with enterprise systems, business applications, and third-party platforms
• Collaborate with product, business, and engineering teams to identify and implement AI use cases
• Ensure AI governance, security, responsible AI practices, and compliance standards
• Research and evaluate emerging Gen AI tools, frameworks, and architectures

Technical Skills

• Strong experience in Python
• Hands-on experience with Generative AI and LLM ecosystems:
• OpenAI APIs
• LangChain
• LlamaIndex
• Vector Databases
• RAG Architecture
• AI Agents & Tool Calling
• Experience in prompt engineering and LLM orchestration
• Understanding of embeddings, semantic search, and context retrieval techniques
• Experience with REST APIs and microservices architecture
• Database knowledge:
• SQL
• NoSQL
• Familiarity with cloud platforms:
• AWS / Azure / GCP
• Familiarity with Docker, Kubernetes, and CI/CD pipelinesRole & responsibilities