Engineering Manager

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:

Reports to:

About the Role:

Technical Manager

technical delivery

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

• 34 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.