AI Engineer

We are seeking a highly skilled AI Engineer to design, develop, and deploy AI/ML solutions that solve complex business problems. The ideal candidate will have strong hands-on experience with Python, Machine Learning, Generative AI, LLMs, RAG, AI/ML frameworks, APIs, and cloud platforms.

The candidate will work closely with software engineers, data scientists, and business stakeholders to build scalable AI applications and integrate AI capabilities into enterprise products and platforms., * Design, develop, and deploy AI/ML and Generative AI solutions for enterprise applications.

• Develop AI applications using Python and modern AI/ML frameworks.
• Build and integrate Large Language Model (LLM) applications using OpenAI, Azure OpenAI, or similar platforms.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop AI agents and agentic AI workflows where applicable.
• Work with vector databases and embedding models for semantic search and knowledge retrieval.
• Develop and integrate REST APIs and microservices for AI applications.
• Perform data preprocessing, feature engineering, model evaluation, and optimization.
• Fine-tune or customize AI/ML models based on business requirements.
• Implement prompt engineering techniques and evaluate LLM responses.
• Build scalable and production-ready AI solutions using cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Containerize and deploy AI applications using Docker and Kubernetes.
• Implement CI/CD pipelines for AI/ML applications.
• Monitor model performance, application health, latency, and reliability.
• Collaborate with software engineers, data scientists, product managers, and business teams.
• Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.

• 5+ years of software engineering / AI/ML experience
• Strong hands-on Python programming
• Experience with Machine Learning and Deep Learning
• Experience with Generative AI and LLMs
• Strong understanding of RAG architecture
• Experience with OpenAI / Azure OpenAI or equivalent LLM platforms
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks
• Experience with REST APIs and microservices
• Knowledge of vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, or FAISS
• Experience with SQL and data processing
• Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform
• Knowledge of Docker and Kubernetes
• Experience with Git and CI/CD

Preferred Skills

• Experience building AI agents / Agentic AI
• Experience with MCP (Model Context Protocol)
• Experience with LLM evaluation and observability
• Experience with fine-tuning, LoRA, or PEFT
• Knowledge of PyTorch or TensorFlow
• Experience with Databricks, Snowflake, or Spark
• Experience with MLOps / LLMOps
• Knowledge of prompt engineering and model optimization
• Experience with enterprise AI security and governance