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 quick-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

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