Senior AI Engineer - GenAI, AI Platform & Voice AI
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level GenAI/LLM role in Bengaluru with broad desirable skills increases applicant density and competition.
Requires specialized GenAI/LLM, MLOps, and Voice AI expertise, reducing cross-industry transferability.
Explicit 3–4 year requirement plus mandatory LLM, MLOps, fine-tuning, and systems skills drive high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and productionize scalable AI systems including Generative AI, AI platforms, AI gateways, Voice AI, and LLM fine-tuning.
Take ownership of complex AI initiatives end-to-end including architecture, experimentation, model/pipeline development, deployment, observability, and continuous improvement.
Develop production-ready GenAI applications, AI platform capabilities, voice AI systems, and maintain ML pipelines and MLOps workflows.
Minimum Requirements
3 to 4 years of hands-on experience in AI/ML, GenAI, or ML engineering.
Strong programming skills in C, C++, and Python.
Experience with ML/LLM frameworks and fine-tuning frameworks such as PEFT, LoRA, QLoRA, TRL, or Unslot.
Familiarity with workflow orchestration tools (Airflow, Prefect, Kubeflow, Dagster), containerization using Docker, and production deployment readiness.
Ideal Candidate Profile
Comfortable working across AI application engineering, ML engineering, LLM systems, APIs, infrastructure, and production-grade AI platform components.
Experienced in designing scalable systems and maintaining ML pipelines in production environments.
Strong practical exposure to building AI/ML systems end-to-end beyond theoretical knowledge.