Back
High due to strong VC-backed brand, sought-after AI title, mid-level hiring, and Bangalore metro location.
Medium because core AI skills transfer but healthcare domain and compliance increase specificity.
Medium because no explicit years but requires mandatory applied ML production and client-facing experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the end-to-end build and delivery of AI applications for healthcare clients including providers and payors, focusing on document understanding, conversational agents, retrieval systems, and workflow automation.
Work directly with clients to translate their needs into production AI systems using Sarvam's language, speech, and translation models, often for multiple Indian languages.
Ensure reliability and safety by building evaluation and guardrails, debug under real load, and iterate rapidly while managing multiple engagements simultaneously.
Experience: A few years of hands-on engineering building and shipping AI or ML applications in production, not just prototypes.
Technical skills: Strong applied AI stack knowledge including LLMs, prompting, retrieval (RAG), fine-tuning, evals, agentic systems; solid backend engineering skills in Python; comfortable owning production services.
Work domain: Healthcare domain experience or familiarity not mandatory, but beneficial (not explicitly required).
Work Experience Required: A few years of relevant hands-on AI/ML engineering experience.
Experienced in shipping reliable, scalable AI/ML systems in production with strong backend engineering expertise, ideally in Python.
Comfortable working in ambiguous, fast-paced environments with high ownership of problems and direct client interaction to deliver solutions.
Preferably has prior exposure to healthcare workflows, Indian language NLP, multilingual AI, voice AI, or regulated data privacy/compliance environments.