Artificial Intelligence / Machine Learning Lead Engineer

Overview

As an Artificial Intelligence and Machine Learning Engineer Lead, you will design and develop generative artificial intelligence and agent-based solutions across FIS. You will build scalable applications using large language models and integrate them with enterprise platforms, application programming interfaces and workflows.

What you'll do

• Design and build generative artificial intelligence applications using proprietary and open-weight large language models.
• Develop agent-based systems and workflows that support planning, memory, tool use, orchestration, human oversight and autonomous tasks.
• Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces and business workflows.
• Build and deploy representational state transfer services using Flask or FastAPI.
• Evaluate model, agent and system performance, including accuracy, reliability, grounding and safety.

What you'll need

• At least 10 years of overall professional experience, including at least four years working with artificial intelligence, generative artificial intelligence or agent-based artificial intelligence.
• Hands-on experience with large language models, prompting techniques, structured outputs, model routing, context management, memory management and retrieval-augmented generation.
• Strong proficiency in Python.
• Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras or pandas.
• Experience with vector databases and retrieval systems.
• Experience with cloud platforms such as Amazon Web Services, Google Cloud or Microsoft Azure.
• Experience with services built with Flask or FastAPI.
• Bachelor's degree in engineering or a related field, or an equivalent combination of education, training and work experience.

Nice to have

• Experience fine-tuning large language models, including parameter-efficient approaches such as low-rank adaptation and quantized low-rank adaptation.
• Familiarity with orchestration tools such as LangChain, LlamaIndex, AutoGen or the OpenAI Assistants application programming interface.
• Knowledge of production machine learning operations, continuous integration and delivery, monitoring, observability, security, compliance and data governance.

Details

• Location: Pune, India.