Engineering Manager

6 days ago

Mangaluru, India FlocCare Full time

Company Description

FlocCare is a gen AI powered tool designed to help healthcare providers generate informative content at scale. The tool supports healthcare organizations and professionals in hyper-personalizing their content to Educate, Engage and Scale across borders. FlocCare's mission is to enhance healthcare communication and facilitate better patient engagement through personalized content generation.


Location: Mangalore, India

Reports to: Founder / CTO

About the Role:

We are looking for a Technical Manager to lead our growing engineering organization, spanning AI Engineers, DevOps, and Full-stack Developers . This role is pivotal to scaling our healthcare AI platform that delivers personalized, compliant, and high-impact solutions across global markets.

You will be responsible for both technical delivery and people leadership : ensuring robust, secure, and compliant systems while empowering a multi-pod team to deliver at startup speed.


About the Role


Team & Leadership

  • Directly manage 3 pods: AI/ML , DevOps , and Full-stack development teams.
  • Recruit, mentor, and retain top engineering talent; set growth paths and performance goals.
  • Create a culture of accountability, innovation, and continuous learning.
  • Conduct regular 1:1s, feedback sessions, and skill development plans.

Delivery & Execution

  • Translate product roadmaps into sprint plans with clear technical outcomes.
  • Drive release velocity, improve deployment frequency, and reduce lead time for changes.
  • Establish and track KPIs
  • Ensure cross-team alignment with product managers, designers, and compliance leads.

AI Engineering & MLOPs

  • Oversee operationalization of LLMs, RAG pipelines, vector DBs , and AI-powered services.
  • Implement guardrails for safety, monitoring, bias mitigation, and regulatory compliance.
  • Drive MLOps best practices : automated retraining, drift detection, evaluation pipelines.
  • Balance cutting-edge AI innovation with production reliability.

Platform & infrastructure

  • Own cloud strategy (AWS + GCP hybrid); optimize infra costs and performance.
  • Oversee containerized deployments (Docker, Kubernetes), IaC (Terraform, CloudFormation).
  • Ensure observability through Prometheus, Grafana, ELK/Datadog dashboards.
  • Lead incident response, disaster recovery planning, and SLA management.
  • Partner with security/compliance to pass audits (ISO27001, SOC2, HIPAA, PDPA).

Strategic Impact

  • Work with leadership to define engineering strategy, budgets, and hiring plans.
  • Evaluate new technologies for adoption (AI frameworks, cloud services, monitoring tools).
  • Represent engineering in customer or partner discussions when required.
  • Act as a multiplier : improve throughput, reduce risks, and align delivery with business goals.

Requirements

  • 3–4 years in engineering team leadership roles.
  • Familiarity with AI/ML production systems : model serving, RAG, vector DBs, monitoring.
  • Proven track record managing multi-pod engineering teams.
  • Strong stakeholder management and cross-functional communication skills.

Nice to Have

  • Background in healthcare tech, medical devices, or regulated SaaS .
  • Hands-on exposure to Python, React, Neo4j .
  • Multi-region deployment leadership (APAC / GCC).
  • Experience leading rapid scale-ups in high-growth startups.


What We Offer

  • Competitive salary + performance incentives
  • A chance to build healthcare AI solutions at scale , impacting billions globally.
  • Learning Scalable AI, neuroscience, growth opportunities, and a collaborative startup culture.


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