AI Platform Engineer | 4+ YoENagpur, India · Remote/ Hybrid
Glitter Technology Ventures Pvt. Ltd. is hiring an AI Platform Engineer to build AI-native systems at the intersection of Edge AI, Vertical AI, and large-scale software and content generation.
We're looking for someone who builds production systems, not prototypes, someone who can take a problem from ambiguity to architecture to deployment without waiting to be told what to do next. If you think in systems, care about performance, and take ownership seriously, keep reading.
About the Role
This is a hands-on, high-ownership engineering role. You will work directly with founders and core engineering to design and build scalable, production-grade systems from scratch.
With 4+ years of experience, you are expected to operate independently, make sound architectural decisions, and deliver clean, scalable, maintainable systems. We move fast. Deadlines are real. Quality is non-negotiable.
Location
Remote/ Hybrid — Nagpur, India. We work in person for speed, clarity, and tight feedback loops. No remote or hybrid. Local candidates preferred.
What You'll Do
- Design and build production-grade backend systems and APIs
- Develop AI-native applications and LLM-powered workflows
- Architect systems for scalability, reliability, and performance
- Integrate third-party APIs, SDKs, and services
- Own services end-to-end: design build deploy monitor
- Collaborate directly with product and founders on technical direction
Responsibilities
- Build systems that handle real-world scale, not demo traffic
- Write clean, modular, well-documented code
- Design robust APIs and service architectures
- Ensure performance, reliability, and observability
- Take full ownership of projects and deliver on deadlines
- Identify and resolve bottlenecks proactively
Skills We're Looking For
- Strong programming skills in Python, Go, or Rust
- Solid understanding of backend architecture, distributed systems basics, and API design
- Experience with production deployments, database design (SQL/NoSQL), and system performance optimization
- Familiarity with AI/ML or LLM-based systems (preferred, not mandatory)
- Exposure to cloud platforms (AWS, GCP, Azure)
- Open-source contributions or a strong GitHub profile
- Strong curiosity, problem-solving ability, and systems thinking
Experience
- 4+ years of hands-on software engineering experience
- Proven track record shipping production systems end-to-end
- Experience in startup or fast-paced environments preferred
Qualifications
- Bachelor's or Master's in Computer Science, Engineering, IT, or a related field
- Equivalent practical experience accepted if output is strong (code, systems, writing)
- Sustained engagement with the AI/LLM ecosystem is an expected baseline
Why Join Us
- Build at the frontier of AI + systems engineering
- High ownership from day one
- Work directly with founders — no bureaucracy, no slow cycles
- Real systems, real users, real impact
- Fastest way to level up if you can keep up
Most engineers follow specs. We're looking for engineers who define them. If that sounds like you, let's talk.
