AI Engineer

Overview:

We are looking for an AI/ML Engineer to develop, implement, and scale machine learning and generative AI solutions. This position blends strong software engineering expertise with practical experience building applications powered by modern AI frameworks and large language models.

Required Skills

Software Engineering

• Proficient in Python and SQL; experience with Java or JavaScript is a plus
• Basic front-end knowledge including HTML and CSS
• Experience developing APIs using frameworks such as FastAPI
• Familiarity with containerization and deployment using Docker

Machine Learning Fundamentals

• Hands-on experience developing and deploying machine learning models, including deep learning solutions
• Strong understanding of model selection, evaluation techniques, and performance tuning
• Experience operationalizing ML pipelines and monitoring model performance in production

Frameworks & Tools

• Practical experience working with LLM APIs and orchestration tools such as LangChain or LangGraph
• Familiarity with platforms like Azure ML, Snowflake Cortex, and MLflow for managing the ML lifecycle

Modern AI Concepts

• Knowledge and experience with:
• Vector databases and semantic search techniques
• Retrieval-Augmented Generation (RAG)
• Embeddings, chunking methods, and reranking strategies
• Frameworks used to evaluate LLM performance
• Tool usage and agent-based architectures
• Optimizing cost and latency for AI-driven workloads

Ideal Candidate

• Demonstrates ownership across the full lifecycle, from initial prototype through production release
• Comfortable building scalable AI-driven systems that deliver measurable business outcomes
• Strong communicator who can clearly convey technical ideas in a business context
• Candidates with a combination of strong engineering fundamentals and hands-on generative AI experience, especially with RAG architectures and production-level LLM applications-will be particularly competitive.

Minimum Qualifications

• Strong proficiency with Python, SQL, FastAPI, and Docker
• Experience integrating LLM APIs and working with at least one orchestration framework (LangChain or LangGraph)
• Exposure to enterprise AI platforms such as Azure ML, Snowflake Cortex, or MLflow