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 : 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.