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klarixa.ai
Actively Hiring
AI native quality platform for lifesciences

Senior Backend Developer

Posted: 2 days ago• Recruiter recently active
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
PostgreSQL
REST APIs
AWS/EC2/ELB/S3/DynamoDB
CI/CD
Generative AI
Large Language Models (LLMs)

About the job

About the job

Hiring** Senior Backend Developer**

Company: Klarixa Private Limited (a subsidiary of Pharma Tek Solutions, USA)
Experience: 5–8 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 is mandatory.
Candidates must have hands-on experience with:

  • Python
  • 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

  • 5–8 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

About the company

klarixa.ai company logo

klarixa.ai

Actively Hiring
AI native quality platform for lifesciences11-50 Employees
Company Size
11-50
Company Industries
B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning
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Founders

Klarixa AI
Founder
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