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Strong PwC brand, metro Bengaluru, mid-level AI engineer title, and broad LLM/cloud requirements.
ML/AI engineering skills are broadly transferable, though deals advisory context adds moderate domain specificity.
Explicit 3+ years requirement plus mandatory Python, LLM, cloud and agent-building skills.
Lead rapid experimentation and evaluation of emerging AI tools and technologies to generate client-ready insights and internal knowledge.
Design experiments with clear hypotheses and success metrics, document outcomes, and support technical demos and deep dive sessions.
Develop and deploy AI/ML solutions including building agents with frameworks like LangGraph, AutoGen, and CrewAI on cloud platforms (Azure, AWS, GCP), and implement automated testing pipelines for model performance.
Bachelor's degree required.
Minimum of 3 years of relevant work experience.
Proficient in English (oral and written).
Strong skills in Python programming and experience deploying machine learning workloads to cloud platforms.
Experienced in fine-tuning large language models using Parameter Efficient Fine Tuning techniques (e.g., LoRa) and knowledgeable in model optimization methods such as quantization and distillation.
Familiar with AI agent frameworks and observability tools like LangGraph and Langfuse, and comfortable using Databricks.
Able to thrive in a fast-paced, experimental environment with strong technical ownership and ability to mentor junior team members.