Back End Developer

Hiring Backend Developer — Klarixa AI

Company

: Klarixa Private Limited (

a subsidiary of Pharma Tek Solutions, USA) Experience:

4–8 Years Employment Type : Full-Time

(In-Office) Location : BHIVE Workspace – HSR Campus, Hosapalaya,

Bangalore (In-Office) Compensation : Competitive salary + meaningful

equity from Day 0

Important — Please apply only if your experience aligns with these core requirements.

This is a Python-first Backend Developer role. Strong hands-on production experience with Python and FastAPI is mandatory.

Candidates must have hands-on experience with:

Python FastAPI REST APIs PostgreSQL Microservices & Backend Architecture System Design & Distributed Systems AWS

— EC2, ALB, S3, Route 53 Docker CI/CD AI/LLM experience. Async / Event-Driven Systems Production Deployment & Monitoring

Product/SaaS company experience is preferred , particularly candidates from

product-led companies, SaaS companies, or high-growth startups

who have

built and scaled production systems.

Education / Company Background

Preferred Qualification:

Bachelor's or Master's degree from a reputed engineering institute such as

IITs, NITs, or BITS Pilani. OR prior experience at a

reputed product company ,

high-growth startup,

or leading technology organization.

What We’re Looking For

4–8 years of hands-on backend engineering experience

building and shipping production-grade systems — not academic projects or toy applications. Strong production experience with Python backend development , including hands-on experience building APIs/services using

FastAPI, Django, Flask, or equivalent Python backend frameworks . Backend architecture skills are essential , with hands-on experience designing scalable systems, microservices, distributed systems, APIs, databases, caching, and performance optimization. Hands-on experience with AI/LLM technologies , including

LLM APIs, RAG, AI agents, MCP, semantic search, or AI-powered backend workflows . Hands-on experience with

PostgreSQL

including schema design, query optimization, indexing, and performance considerations. Strong experience building and maintaining

RESTful APIs

and familiarity with

WebSockets

or real-time communication. Hands-on experience with

Docker, CI/CD, and production deployments . Practical experience with

AWS , particularly

EC2, ALB, S3, and Route 53 . Strong

CS fundamentals , including data structures, algorithms, databases, networking, operating systems, and performance optimization. Experience owning backend features

end-to-end — from technical design and implementation to deployment, monitoring, debugging, and production support . Comfortable working in a

fast-paced startup environment with ambiguity, high ownership, and minimal supervision .

The Role

We're hiring a

Backend Developer

who wants to build the core systems behind a category-defining AI product — not maintain someone else's legacy stack.

You'll work directly with the founding team in a lean pod structure: small, high-trust, multi-disciplinary teams that own outcomes end-to-end. No layers of approval, no waiting for a Jira ticket to thaw. You ship, you measure, you iterate.

This is an AI-native engineering org. We expect every engineer to be fluent with modern AI dev tooling — Claude Code, Cursor, agentic workflows, LLM-in-the-loop systems — not as a novelty but as the default way we build.

What You'll Do

Design, build, and scale backend systems and microservices that sit at the core of our platform Write clean, well-documented Python that other engineers (and AI agents) can extend Build and optimize RESTful APIs and WebSocket services for real-time, high-performance workflows Own our Postgres data layer — schema design, query optimization, scaling decisions Deploy and maintain containerized services using Docker Work extensively with AWS (EC2, ALB, S3, Route 53) and own pieces of our cloud infrastructure Build and harden CI/CD pipelines so we can ship multiple times a day with confidence Pair closely with frontend engineers, PMs, and founders on architecture, product, and go-to-market decisions Take full ownership of features — from spec ambiguity to production telemetry — and bring strong opinions about what we should build next

What We Value

AI-native by default.

You use Claude Code, Cursor, or similar agentic tooling as a force multiplier — and you have opinions about how to do it well. Lean-pod operator.

You thrive in small teams where you wear multiple hats and the distance from idea to production is hours, not weeks. Product brain.

You care about

why

we're building something, not just

what . You'll push back on bad specs. Calm in chaos.

Startup velocity is the floor, not the ceiling. You stay sharp when priorities shift. Craft.

You ship fast, but you don't ship sloppy.

Why Klarixa

Day-0 equity.

Real ownership from the moment you join. We want you invested in the outcome — not just employed by it. Founder access.

No middle layers. You'll be in the room where architecture, product, and strategy decisions are made. Top 1% ambition.

We're not building a feature shop. We're building a category leader, and we hire people who want to be part of that bar. Founders who've done it.

A mix of core AI/SaaS builders and life sciences operators who've lived the problems we're solving for 20+ years. Tooling and autonomy.

Best-in-class dev environments, AI tooling budget, and the trust to use them. Real impact.

Pharma, biotech, and medical device companies will use what you ship to keep medicines safe and audits clean. The work matters.

Big Pluses

Prior experience at a product-led startup or high-growth SaaS company Daily user of Claude Code, Cursor, or comparable AI dev tools — bonus if you can show what you've built with them Exposure to regulated industries (pharma, healthcare, fintech) or workflow-heavy enterprise SaaS Open-source contributions or side projects that show range