Job Title

Company DescriptionFlocCare 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.Compensation: 25-30 LPALocation: Mangalore, IndiaReports to: Founder / CTOAbout 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 RoleTeam & 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.