Role: AI Engineer (Senior)
Year: 2026
Qualification: Bachelors/Masters
Experience (years): 5-10
Job description:
AI & Machine Learning
• Strong expertise in Machine Learning, Deep Learning, and Data Science.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with Prompt Engineering, Fine-Tuning, and Model Evaluation.
• Strong understanding of NLP, embeddings, vector search, and semantic retrieval.
Frameworks & Tools
• Python programming expertise.
• Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex, or
similar frameworks.
• Experience working with OpenAI, Anthropic, Gemini, Claude, Llama, Mistral, or
equivalent models.
RAG & Vector Databases
• Experience building production-grade RAG systems.
• Hands-on experience with vector databases such as Pinecone, Weaviate,
ChromaDB, Milvus, or FAISS.
• Knowledge of embedding models and retrieval strategies.
MLOps & Deployment
• Strong experience with MLOps practices and model lifecycle management.
• Experience with Docker, Kubernetes, CI/CD pipelines, and model monitoring.
• Expertise in deploying AI/ML solutions in production environments.
Cloud & Infrastructure
• Experience with AWS, Azure, or Google Cloud Platform (GCP).
• Understanding of scalable cloud-native architectures.
• Experience with REST APIs, microservices, and distributed systems.
Preferred Qualifications
• Experience leading AI/ML projects and mentoring engineering teams.
• Knowledge of AI governance, model security, and responsible AI practices.
• Exposure to multi-agent systems and autonomous AI workflows.
• Contributions to open-source AI projects or published research are a plus.
Educational Qualification
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data
Science, Machine Learning, or a related field. 
Technical skills: Python, ML, GenAI, LLMs, Prompt Engineering, NLP, VectorDb, RAG, TensorFlow/PyTorch, Scikit-Learn, Agents, LangChain, LangGraph, LlamaIndex, APIs, MLOps, CI/CD, Docker, Kubernetes, Git, Github, AWS/Azure, OpenAI
Soft skills: Communication, Problem Solving