Engineering Manager/Technical Lead

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.

Compensation : 25-30 LPA

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.