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.
