GEM Company is hiring for Founding Software Engineer-Backend and Infrastructure (India) Job Recruitment 2026
We are building a small, talent-dense team. This role will define the engineering archetype at Unsoiled AI and set the ceiling for the team. We strongly believe technical DNA compounds (or degrades) with every hire and hence the first few matter disproportionately.
Compensation: INR 60LPA to INR 1 Cr.
Location: In-person, Bangalore (remote for the next 2 months)
Qualifications: B.E/B.TECH/ M.E/ M.TECH
✍️Work Responsibilities:
- Architect, build, and scale core backend systems powering document intelligence and VLM-based workflows
- Own production infrastructure end-to-end: deployments, monitoring, performance, reliability
- Design and operate high-throughput, low-latency services in real production environments
- Take systems from R&D production enterprise scale
- Build and maintain cloud and on-prem deployments (Docker, Kubernetes, Helm) for enterprise customers
- Establish best practices for CI/CD, observability, debugging, and incident response.
- Work closely with the founders and research team to turn research prototypes into production-grade, scalable systems.
✅Technical Skills & Skill set:
- Experience building and operating scaled production systems
- Strong backend engineering skills (Python required; C++/Rust is a major plus)
- Experience with distributed systems (microservices, parallel processing, queues, caches like Redis)
- Deep familiarity with cloud infrastructure (AWS, GCP, Azure)
- Hands-on experience with Docker, Kubernetes, Helm, and infrastructure-as-code (Terraform / Pulumi)
- An ownership mindset
- Nice to have: Experience serving ML / VLM / GPU-heavy workloads
- Open to folks from Quant firm looking to transition into a SWE role with genuinely hard problems to solve and competitive comp.
Hiring Process:
Our process centers around paid work trials, which can be done remotely. You will work with us on real problems, collaborate as peers, and get a genuine sense of what building Unsiloed AI feels like.