Description

Job Description:-

Key Responsibilities

• Design, develop, and deploy Generative AI applications using LLMs and foundation models.
• Build AI-powered chatbots, virtual assistants, knowledge management systems, and automation solutions.
• Implement RAG (Retrieval-Augmented Generation) architectures using vector databases.
• Develop AI agents and workflow automation using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
• Fine-tune, evaluate, and optimize LLMs for domain-specific use cases.
• Integrate AI solutions with enterprise applications, APIs, and cloud platforms.
• Create and maintain prompt engineering strategies to improve model performance and accuracy.
• Develop scalable and secure AI services using Python and modern software engineering practices.
• Monitor model performance, costs, latency, and accuracy in production environments.
• Collaborate with Data Scientists, Software Engineers, Product Managers, and Business Stakeholders.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Generative AI, LLMs, and AI application development.
• Experience with OpenAI, Anthropic Claude, Gemini, Llama, or similar foundation models.
• Knowledge of RAG architectures, embeddings, vector databases, and semantic search.
• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar AI frameworks.
• Familiarity with prompt engineering, model evaluation, and AI safety practices.
• Experience with REST APIs, microservices, and cloud platforms (AWS, Azure, or GCP).
• Knowledge of machine learning fundamentals and NLP concepts.
• Experience with Git, CI/CD pipelines, and containerization technologies such as Docker.

Preferred Qualifications

• Experience fine-tuning open-source LLMs.
• Knowledge of MLOps and LLMOps practices.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or FAISS.
• Familiarity with Kubernetes and scalable cloud-native architectures.
• Experience working with structured and unstructured data processing pipelines.
• Knowledge of AI governance, responsible AI, and security best practices.

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field

Key Skills

Education

Any Graduate