Senior AI Engineer – Internal Tools & Platform

About Securly

Tech Giant Scale. EdTech Innovation. Unmatched Student Impact.

Securly is the market leader in AI-powered student safety and wellness solutions, trusted by more than 20 million students across 20,000+ schools worldwide. Our mission is to help schools create safer, more supportive learning environments for every student.

Since launching the world’s first cloud-based web filter for K–12 in 2013, Securly has continued to set the standard for student well-being technology. Our platform combines AI and human insight to proactively identify and respond to risks such as bullying, self-harm, and violence—technology credited with preventing 2,000+ potential tragedies.

Securly is recognized as an EdTech Top 40 “Most Used Product”, reflecting broad adoption and daily reliance by schools nationwide. We are also proud to be named to the 2026 GSV 150, recognizing the world’s most transformational companies in digital learning for innovation, scale, and real-world impact.

Our people-first culture is backed by strong engagement:
- 94% of employees are proud to work here
- 91% rate manager effectiveness above benchmarks

At Securly, we don’t just build products—we protect students, partner with educators, and build trust at scale.

About the Role

We are seeking a Senior AI Engineer – Internal Tools & Systems to design, build, and operate production-grade, AI-powered internal tools that increase organizational efficiency and reduce manual effort across teams such as Finance, Sales, Customer Success, Support, and Product.

This role is centered on practical, applied AI. You will build systems that are reliable, adopted, and embedded directly into day-to-day workflows—not experiments or proofs of concept. You will own solutions end-to-end, from problem definition through deployment and iteration, working closely with leadership and cross-functional stakeholders.

This is a senior individual contributor role for engineers who enjoy building full-stack internal systems and applying AI responsibly to deliver meaningful business impact.

Location: Pune, Maharashtra, India
Work Type: Hybrid (onsite 2 days per week)
Compensation: ₹48–64 LPA (based on experience and demonstrated capability)

What Success Looks Like

- Internal AI tools meaningfully improve how teams work by increasing efficiency and reducing cycle time.
- AI systems are production-ready, reliable, and trusted for real operational use.
- Tools see sustained, repeat usage across multiple business units.
- Clear, repeatable patterns exist for evaluating, building, and deploying internal AI solutions.
- Stakeholders have clarity on priorities, timelines, and tradeoffs.
- Impact is demonstrated through outcomes and adoption—not just features shipped.

What You’ll Accomplish in Your First 12 Months

First 90 Days

- Build a strong understanding of internal workflows, data sources, and operational pain points.
- Review existing internal tools, automation, and prior AI initiatives.
- Deliver early improvements or prototypes such as AI-assisted search, summarization, or workflow support.

First 180 Days

- Design and launch production-ready internal AI tools that reduce manual effort or cycle time.
- Improve reliability, usability, and adoption of AI-enabled systems.
- Establish responsible patterns for building, validating, and deploying AI features.

First 360 Days

- Own multiple internal AI systems used regularly across teams.
- Drive adoption, iteration, and long-term maintenance.
- Contribute to internal standards and best practices for AI-enabled tools.

Core Responsibilities

Internal Tools & AI Systems Development

- Design and build internal tools used daily across the organization.
- Develop AI-powered capabilities such as internal search, copilots, summarization, classification, and workflow automation.
- Ship full-stack applications using modern frontend frameworks and cloud-native, serverless backend infrastructure.
- Ensure systems are production-ready, reliable, and easy to operate.

Applied AI & Automation

- Apply LLMs and automation techniques to real operational problems.
- Evaluate tradeoffs between accuracy, cost, latency, and usability.
- Integrate AI systems with internal data sources and third-party platforms.

Platform, Infrastructure & Reliability

- Build scalable APIs and services using AWS and serverless architectures.
- Implement data pipelines and background processing using services such as S3, SQS, or similar.
- Ensure observability, logging, and operational stability.

Collaboration & Ownership

- Partner with Finance, Enablement, Sales, Support, Product, and Engineering teams.
- Own features end-to-end, from design through rollout and iteration.
- Communicate clearly about scope, priorities, tradeoffs, and outcomes.

Core Technology Environment

- Frontend: TypeScript/JavaScript, Next.js (App Router), JSX/TSX, Tailwind CSS, Radix UI, v0 (Vercel)
- Backend: TypeScript/Node.js, serverless APIs, lightweight frameworks
- Cloud: AWS Lambda, S3, SQS
- Data: PostgreSQL, ORM-based access patterns, vector search
- AI: LLM integration, embeddings, RAG-style internal tools

Required Qualifications

- Experience building and operating production software systems applying AI or automation (typically developed through 5+ years of hands-on engineering experience).
- Strong experience building full-stack systems, including modern React-based frontends and cloud-native backends.
- Proficiency in TypeScript/JavaScript and modern React frameworks (Next.js, JSX/TSX, Tailwind CSS).
- Experience applying LLMs or AI-assisted workflows in practical internal or user-facing systems.
- Experience owning features end-to-end, including deployment and ongoing support.
- Demonstrated judgment around reliability, maintainability, and user adoption.
- Experience working effectively across time zones and with cross-functional stakeholders.

Preferred Qualifications

- Experience building internal tools for non-engineering teams.
- Familiarity with AWS serverless services (Lambda, S3, SQS).
- Exposure to vector search, embeddings, RAG-style systems, or AI-enhanced search.
- Experience integrating with platforms such as Salesforce, ticketing, or analytics tools.
- Prior experience operating at a Senior or equivalent IC level.

Why Securly

- Engineering with Impact: Build internal systems that directly improve how teams operate.
- Practical AI at Scale: Work on real, production AI systems.
- Career Growth: Expand ownership with pathways toward Staff-level impact.
- Collaborative Culture: Partner closely with teams in India and the U.S.

Benefits

- Hybrid Work Model
- Comprehensive Health Insurance (employee, spouse, children)
- Acidental & Term Life Insurance
- Employee Assistance Program (EAP)
- Learning & Development reimbursement
- Paid Time Off
- Public Holidays (12+ per year)
- Retirement Benefits (EPF & gratuity)
- Equipment & WFH setup support
- Parental Leave (as per statutory norms)

Equal Opportunity Employer

Securly is an Equal Opportunity Employer committed to inclusion, fairness, and respect.
We welcome applicants from all backgrounds, identities, and experiences. #LI-REMOTE #LI-DO1