Job Description: Tech Lead/Engineering Manager
Location:
Mangalore, India
Short Description
Role Overview
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
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Directly manage 3 pods: AI/ML, DevOps, and Full-stack development teams.
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Recruit, mentor, and retain top engineering talent; set growth paths and
performance goals.
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Create a culture of accountability, innovation, and continuous learning.
- Conduct regular 1:1s, feedback sessions, and skill development plans.
Delivery & Execution
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Translate product roadmaps into sprint plans with clear technical outcomes.
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Drive release velocity, improve deployment frequency, and reduce lead time
for changes.
- Establish and track KPIs.
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Ensure cross-team alignment with product managers, designers, and compliance
leads.
AI Engineering & MLOPs
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Oversee operationalization of LLMs, RAG pipelines, vector DBs, and
AI-powered services.
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Implement guardrails for safety, monitoring, bias mitigation, and regulatory
compliance.
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Drive MLOps best practices: automated retraining, drift detection,
evaluation pipelines.
- Balance cutting-edge AI innovation with production reliability.
Platform & Infrastructure
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Own cloud strategy (AWS + GCP hybrid); optimize infra costs and performance.
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Oversee containerized deployments (Docker, Kubernetes), IaC (Terraform,
CloudFormation).
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Ensure observability through Prometheus, Grafana, ELK/Datadog dashboards.
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Lead incident response, disaster recovery planning, and SLA management.
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Partner with security/compliance to pass audits (ISO27001, SOC2, HIPAA,
PDPA).
Strategic Impact
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Work with leadership to define engineering strategy, budgets, and hiring
plans.
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Evaluate new technologies for adoption (AI frameworks, cloud services,
monitoring tools).
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Represent engineering in customer or partner discussions when required.
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Act as a multiplier: improve throughput, reduce risks, and align delivery
with business goals.
Requirements
- 3 - 4 years in engineering team leadership roles.
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Familiarity with AI/ML production systems: model serving, RAG, vector DBs,
monitoring.
- Proven track record managing multi-pod engineering teams.
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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.
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A chance to build healthcare AI solutions at scale, impacting billions
globally.
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Learning Scalable AI, neuroscience, growth opportunities, and a
collaborative startup culture.
About the Company
FlocCare - Accelerating healthcare awareness for a billion lives. We empower
Healthcare Providers, Pharma, Medical Devices & Insurance Companies to inform
consumers of healthier choices, predictive screenings & new developments.
Using our Gen AI engine, we hyper-personalize healthcare content across
multiple languages, locations, and demographics at a large scale & real-time
relevance. FlocCare AI engine trains on info on health conditions and their
solutions from healthcare providers, the internet, and healthcare feeds. Our
Gen AI develops personalized content, taking the right info at the right time.