Jobs on TAL
All jobsOnsiteEngineeringai/ml infra4+ yearspython
OnsiteSeniorai/ml infra

Senior Software Engineer

TrueFoundryBengaluru, Karnataka, IndiaPosted 18 May 2026

TrueFoundry is a Series A AI infrastructure company building control plane and compute layers for agentic systems. The Senior Software Engineer will lead system design, architecture, and implementation of complex AI-platform features while mentoring US-based engineers. Candidates must have deep backend experience, cloud-native expertise, and familiarity with GenAI applications. This role offers high ownership and direct collaboration with the founding team.

Matched by TAL

50k new jobs listed every day. Install TAL to find more jobs like this.

Install TAL

Experience

4+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

TrueFoundry is a Series A AI infrastructure company building control plane and compute layers for agentic systems. The Senior Software Engineer will lead system design, architecture, and implementation of complex AI-platform features while mentoring US-based engineers. Candidates must have deep backend experience, cloud-native expertise, and familiarity with GenAI applications. This role offers high ownership and direct collaboration with the founding team.

TAL's take

Quality 75/1005/5 clarityTier 2 company

Strong Series A startup with notable investors and high-impact work on AI orchestration platforms.

Clear expectations, well-defined responsibilities, and specific technical stack requirements.

Salaries at TrueFoundry

40.0 LPA average

Based on 7 Grapevine salary entries for TrueFoundry.

View all salaries

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

  • 4+ years backend/systems engineering experience
  • Expertise in distributed systems and cloud-native architectures
  • Working knowledge of Kubernetes and containerized workloads
  • Experience building or deploying ML/GenAI applications
  • Proficiency in Python, Go, or TypeScript
  • Understanding of system observability and SRE practices

Tools and skills

pythongotypescriptkubernetesdistributed systemscloud-native architectures

About the company

Series A startup backed by Sequoia and Intel Capital, operating in the specialized AI infra space.