What you'll do
Real-time clinical document generation - turn a live consultation into a structured, clinically accurate document while the clinician is still in the room. Sub-second latency, zero tolerance for hallucination.
Fine-tuning special-purpose models -LoRA, PEFT, SFT and preference alignment, optimized for highthroughput serving. Dataset design through to production. This is where we invest in going deep.
Speech-to-text and audio pipelines -real clinical audio: multiple speakers, accents, noise, and Swedish and German medical vocabulary no off-the-shelf model has seen.
Medical NER and structured extraction -medications, dosages, diagnoses, procedures and temporal relationships pulled out of free text, reliable enough to write into a patient record.
Evaluation pipelines -in healthcare, "it looks valuable" is not a metric. Golden datasets, automated judges, clinician-in-the-loop review, and the monitoring that catches regressions before a clinic does.




Automated booking and scheduling -agentic systems that handle real patient interactions end to end, with real-world consequences when they go wrong.
Data and deployment -curate clinical datasets to a training-ready standard, and take systems from experiment to monitored, production-grade services clinicians rely on at scale. You won't do all of this at once, but over time you'll touch most of it.

What we're looking for
Bachelor's in Computer Science, Engineering, or a related field.
3+ years in AI/ML, with a focus on applied and Generative AI systems.
Solid hands-on experience with LLMs, prompt engineering, and structured outputs.
Hands-on with speech-to-text and audio-processing pipelines.
Proficient in Python (pandas, NumPy, ML/AI libraries) and SQL.
Familiar with cloud AI services, preferably AWS (S3, SageMaker, Bedrock).
Understanding of LLMOps / MLOps: evaluation, monitoring, deployment, and iteration.

📌 Gen Ai Engineer Audio / Video Bengaluru
🏢 AVE-Promagne
📍 Bengaluru