Job highlights

- Experience leading AI-native teams that use coding agents (e.g.,Claude Code,Cursor),including building auto-verification and self-improvement loops. Bachelors or Masters degree in Computer Science or a related field. .

Responsibilities

- Lead and grow the team: Hire, mentor and retain strong engineers across platform, AI/ML infrastructure and data, and build a culture of ownership and high standards.

- Own backend architecture: Drive the design of distributed, high-throughput services and APIs (Go, Python, gRPC/REST) on Kubernetes and GCP, built for scalability, low latency and high availability.

- AI platforms and capabilities: Build the shared AI capabilities that Sukis products and partners run on, from experimentation and evaluation to model serving and the clinical knowledge graph that grounds Sukis reasoning and agents.

- Data platform: Own the pipelines, storage and governance for clinical and product data, built to HIPAA and SOC 2 standards.

- Agent and AI-native tooling: Provide the tooling to build, evaluate, deploy and monitor agents, and make AI coding agents, auto-verification and strong review practices part of how every team works.

- Reliability and operations: Own observability, CI/CD, incident response and on-call, and set SLOs for services that clinicians rely on live with patients.

- Execution and partnership: Own planning and delivery for your platforms, and work with product, ML,



clinical and application teams to turn their needs into shared infrastructure.

Requirements

- 10+ years in software engineering, including 4+ years managing engineers
- A track record of building ML, data or developer platforms that other teams depend on

- Depth in AI/ML infrastructure: training pipelines, model serving, GPU orchestration and LLM tooling

- Experience with data platforms (e.g., BigQuery, Airflow, Spark, Kafka) and data governance

- Robust programming background in Go or Python, with solid distributed systems fundamentals

- Strategic and hands-on, comfortable with ambiguity, and data-driven in your decisions

- Experience leading AI-native teams that use coding agents (e.g., Claude Code, Cursor), including building auto-verification and self-improvement loops

- Bachelors or Masters degree in Computer Science or a related field

Huge plus

- Knowledge graphs, ontologies or graph databases, especially with clinical terminologies (SNOMED CT, ICD-10, RxNorm, LOINC)

- LLMOps tooling: prompt management, evaluation frameworks and model routing

- Vector databases, feature stores and retrieval systems

- Healthcare interoperability (FHIR, HL7) and handling PHI at scale

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Engineering Manager (Bengaluru)
🏢 Suki
📍 Bengaluru