About Securly - Tech Giant Scale. EdTech Innovation. Unmatched Student Impact.
Securly is a leader in AI-powered student safety and wellness, trusted by 20M+ students across 20,000+ schools globally.
We build systems that matter—technology that helps prevent harm and supports student well-being at scale.
About the Role
We are looking for a Senior Applied AI Engineer to design and scale AI-powered systems that transform business-critical workflows across Sales, Customer Success, Support, Finance, and Product.
This role focuses on production-grade AI systems—not experiments or demos. You will build systems used daily by non-technical teams, operating on messy, real-world data, with measurable impact on efficiency and outcomes.
You will work on:
- AI copilots for GTM and operations
- Intelligent search across internal knowledge and systems
- Workflow automation using LLMs and structured pipelines
- Systems that must be reliable, accurate, and scalable in production
This is a senior IC role for engineers who enjoy combining full-stack development, AI system design, and real-world problem solving.
Core Technology Environment
Frontend
Next.js (App Router), TypeScript, Tailwind CSS, Radix UI, v0 (Vercel)
Backend
Node.js (TypeScript), serverless APIs (AWS Lambda), Hono.js
Cloud & Infrastructure
AWS Lambda, S3, SQS (event-driven systems)
Data Layer
PostgreSQL (Supabase), Drizzle ORM, pgvector
AI Layer
LLMs, embeddings, RAG systems, prompt and retrieval design, AI-assisted development tools
What You’ll Do
- Build and ship AI-powered applications used daily across business teams
- Design RAG systems, retrieval pipelines, and prompt architectures
- Optimize systems across accuracy, latency, cost, and reliability
- Own systems end-to-end: design → build → deploy → iterate
- Work with unstructured, evolving data across internal systems
- Develop reusable patterns for AI workflows and automation
- Collaborate with cross-functional teams to solve high-impact problems
What Success Looks Like
- AI systems are widely adopted and improve real workflows
- Tools reduce manual effort and cycle time with measurable impact
- Systems are reliable, production-ready, and trusted
- Clear patterns exist for building and scaling AI systems
What You’ll Achieve in 12 Months
0–90 Days
- Understand workflows, data systems, and bottlenecks
- Deliver initial AI-powered features (search, summarization, workflow support)
90–180 Days
- Launch production systems with measurable efficiency gains
- Improve reliability, usability, and adoption
180–360 Days
- Own multiple AI systems used across teams
- Drive long-term adoption and platform improvements
What You Bring
- 5+ years building production software systems (full-stack or backend-focused)
- Experience building AI-enabled applications using LLMs or automation systems
- Strong proficiency in TypeScript/JavaScript (Next.js, Node.js)
- Experience designing and operating systems end-to-end, including deployment and monitoring
- Ability to work with ambiguous problems and real-world data
- Strong focus on impact, usability, and system reliability
- Experience building systems for business or operational teams
- Familiarity with AWS serverless (Lambda, S3, SQS)
- Experience with embeddings, vector search, or RAG systems
- Experience integrating with platforms such as Salesforce, analytics, or support tools
Why This Role Is Unique
- Applied AI in Production: Build systems used daily—not prototypes
- Real-World Complexity: Work with messy data and high-impact workflows
- End-to-End Ownership: Design, ship, and operate complete systems
- Modern Stack: Serverless, AI-first architecture
- High-Leverage Work: Solve problems with measurable business impact
Location & Compensation
- Location: Pune, Maharashtra, India
- Work Type: Hybrid (2 days onsite/week)
- Compensation: ₹48–64 LPA
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
