Sr Software Engineer III - AI (IND)
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level AI role in metro with large-brand backing and broad, popular skill requirements.
Core ML/LLM engineering skills transfer across industries, though healthcare domain knowledge is preferred.
Multiple mandatory technical requirements plus a 6+ years minimum increase shortlisting rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain microservice and API solutions for AI model deployment, emphasizing scalable and efficient AI infrastructure.
Collaborate with cross-functional teams to integrate, optimize, and deploy advanced AI/ML models, including LLM inference and prompt engineering.
Design and execute large-scale data pipelines, CI/CD workflows, and containerized ML operations using tools like Kubernetes and Terraform.
Minimum Requirements
Bachelor’s degree in any Engineering stream; preference for Computer Science/Engineering degree.
Minimum 6+ years of experience in AI Engineering, preferred total experience 8 years.
Advanced proficiency in Python and AI/ML frameworks; experience with microservices architecture and cloud platforms (AWS, GCP, Azure).
Experience with infrastructure as code tools (Terraform, CloudFormation), CI/CD pipelines, and container orchestration (Kubernetes).
Ideal Candidate Profile
Experienced in developing enterprise-grade AI/ML solutions with microservices, CI/CD, and container orchestration in production environments.
Strong practical knowledge and hands-on skillset in LLM development, optimization (quantization, knowledge distillation), and deployment workflows.
Capable of collaborating with multidisciplinary teams (data scientists, product managers) and translating complex AI systems into maintainable, scalable architectures.