About the Role:
As an AI Model Engineer, you will be responsible for designing, training, and deploying machine learning models that power automated systems. This includes working with various large language model ecosystems like OpenAI GPT, Anthropic Claude, Google Gemini, and Meta LLaMA.
* Design, train, fine-tune, and deploy machine learning models for production environments.
* Develop pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP.
* Implement prompt engineering, optimization, and safety techniques for agentic large language model interactions.
* Collaborate with data engineers to maintain data pipelines for machine learning workloads.
* Conduct feature engineering and embeddings generation on structured and unstructured data.
* Implement model monitoring, drift detection, and retraining pipelines.
* Explore emerging large language model architectures and multi-agent orchestration patterns.
* Cross-functionally collaborate with R&D, data science, product, and engineering teams.
* Mentor junior engineers and contribute to best practices in AI model engineering.
Key Qualifications:
* Strong background in machine learning and artificial intelligence.
* Experience with large language model ecosystems and frameworks.
* Proficiency in programming languages such as Python and Java.
* Knowledge of data engineering principles and practices.
* Excellent communication and collaboration skills.