Principal Software Engineer
TrueFoundry is building foundational infrastructure for production-grade AI systems, including LLM routing, orchestration, and compute layers. This role involves designing and scaling distributed systems for AI workloads while acting as a technical liaison for enterprise customers. You will work closely with the CTO and the India-based team to drive architecture, technical roadmap, and system performance. This position requires deep experience in backend systems and an ability to translate customer feedback into scalable engineering solutions.
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Experience
8+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
TrueFoundry is building foundational infrastructure for production-grade AI systems, including LLM routing, orchestration, and compute layers. This role involves designing and scaling distributed systems for AI workloads while acting as a technical liaison for enterprise customers. You will work closely with the CTO and the India-based team to drive architecture, technical roadmap, and system performance. This position requires deep experience in backend systems and an ability to translate customer feedback into scalable engineering solutions.
TAL's take
Strong engineering-focused role at a well-backed Series A AI infrastructure startup with significant technical ownership and influence.
The JD clearly defines the technical stack, the specific infrastructure problem being solved, the scope of the role, and the expected collaboration model.
Salaries at TrueFoundry
40.0 LPA average
Based on 7 Grapevine salary entries for TrueFoundry.
Engineering
6 - 8 years | Senior Software eng
50 LPA average
Range: 50 - 50 LPA
Other roles
0 - 2 years
16 LPA average
Range: 16 - 16 LPA
Other roles
2 - 4 years | Senior Engineer
33 LPA average
Range: 33 - 33 LPA
Other roles
4 - 6 years | Senior Software eng
24 LPA average
Range: 24 - 24 LPA
Must haves
- 8+ years of backend or systems engineering experience
- Deep expertise in distributed systems and cloud-native architectures
- Experience building or deploying ML/GenAI applications
- Proficiency in Python, Go, or TypeScript
- Solid understanding of observability and SRE practices
Tools and skills
About the company
Series A startup backed by notable investors like Sequoia and Intel Capital, establishing market presence in AI infrastructure.