AI Engineer

Required Technical Skills

• Strong Python programming skills
• OOP Concepts, Functions & Modules
• Iterators & Generators
• Exception Handling
• Decorators
• Type Hints & Data Classes
• Data Structures & Algorithms
• Design Patterns

Machine Learning Expertise

• NumPy
• Pandas
• Scikit-learn
• XGBoost
• LightGBM
• PyTorch
• TensorFlow
• MLflow
• Matplotlib

Generative AI & Agentic AI

• LangChain
• LangGraph
• LlamaIndex
• FAISS / Pinecone
• OpenAI APIs
• Anthropic APIs
• Google Gemini APIs
• LangGraph Agents
• Retrieval-Augmented Generation (RAG)
• AI Agents & Autonomous Workflows

Key Responsibilities

• Design, develop, and deploy scalable AI and Machine Learning solutions.
• Build and optimize end-to-end ML pipelines from data ingestion to deployment and monitoring.
• Develop Generative AI applications using Large Language Models (LLMs).
• Design and implement Agentic AI systems using LangGraph and LangChain.
• Build multimodal AI applications integrating text, image, audio, and video.
• Collaborate with Product Managers, Data Engineers, Architects, and Business Stakeholders.
• Evaluate emerging AI technologies and recommend innovative solutions.
• Ensure AI systems meet performance, scalability, security, and governance standards.
• Mentor junior engineers and promote AI engineering best practices.
• Present technical solutions and project progress to leadership and stakeholders.

Preferred Qualifications

• 8+ years of software development experience.
• Hands-on experience with modern AI/ML frameworks.
• Strong understanding of LLMs, RAG architectures, vector databases, and AI agents.
• Experience deploying AI solutions in cloud environments.
• Excellent communication and problem-solving skills.