Backend Engineer at Joopiterx · Bengaluru (Bangalore) · 5 - 7 years · ₹15L - ₹25L / yr (ESOP available) · Raised funding · Posted 3 Dec 2021

Our startup is building an AI based decentralized marketplace for the travel industry. Its founded by technologists, marketeers, and PhD/IITians from Google, Airbnb, Agoda etc.
We're looking to bring a Scala backend engineer with experience on reactive actor system using Akka/Akka-streams. The individual will be part of our Europe based core team where individual team members have 20+ years experience each. Individual must've been hands on with scalable platform development and capable of individual contribution as well.

About Joopiterx
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Most sales tools help you send emails. We’re building something different.
At Salesforge, we’re creating autonomous AI agents that can:
Find the right prospects
Generate highly personalized outreach
Run conversations
And book meetings
All without human involvement.
Why this is interesting
A lot of AI products stop at “generate text.” We’re focused on outcomes.
That means solving problems like:
How do you generate messages that actually get replies?
How do you evaluate and improve agent performance over time?
How do you orchestrate millions of AI-driven interactions reliably?
How do you combine structured data + LLMs in a way that scales?
If you enjoy working at the intersection of systems + AI + real-world feedback loops, this will feel like a playground.
What you’ll be working on
You won’t be maintaining legacy systems.
You’ll be:
Designing and building core backend systems that power our AI agents
Creating APIs and services that handle high-scale, real-time workflows
Working with queues (Kafka / SQS / RabbitMQ) to orchestrate async systems
Thinking deeply about performance, cost, and reliability in AI pipelines
Shipping features end-to-end with a small, senior team
The team
We’re a small group of experienced builders. We move quickly, care about quality, and avoid unnecessary process.
No layers of management.
No long planning cycles.
Lots of ownership and autonomy.
What we’re looking for
5+ years of backend engineering experience
Strong system design fundamentals
Experience with distributed systems and async processing
Familiarity with relational and/or document databases
Clear communicator, low ego, high ownership
Why join
You’ll work on a product where the output is measurable (meetings booked, revenue generated)
You’ll have real ownership from day one
You’ll be early in building a new category (AI sales agents)
You’ll grow as fast as we do
Strong Backend Software Engineer Profile with strong Core Java expertise
2
Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.
3
Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.
4
Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.
5
Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.
6
Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).
7
Mandatory (Tech skill 3): Must have microservices experience.
8
Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.
9
Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.
10
Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.
11
Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).
12
Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)
13
Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)
14
Preferred (Backend): Hands-on Python experience is a plus.
Strong Backend Software Engineer Profile with strong Core Java expertise
2
Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.
3
Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.
4
Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.
5
Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.
6
Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).
7
Mandatory (Tech skill 3): Must have microservices experience.
8
Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.
9
Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.
10
Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.
11
Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).
12
Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)
13
Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)
14
Preferred (Backend): Hands-on Python experience is a plus.






