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Senior Software Engineer (Full-stack with AI/ML)

BirdeyeGurugram, Haryana, IndiaPosted 20 May 2026

Birdeye is a leading agentic marketing platform for multi-location brands seeking a Senior Full Stack Engineer in Gurugram. The role involves designing and scaling backend services, building frontend interfaces, and integrating AI/ML models into product workflows. Candidates must have 4-6 years of experience with backend (Java/Python) and frontend (React) technologies. The engineer will own features end-to-end and work closely with cross-functional teams to solve customer problems.

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Experience

4-6 years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Birdeye is a leading agentic marketing platform for multi-location brands seeking a Senior Full Stack Engineer in Gurugram. The role involves designing and scaling backend services, building frontend interfaces, and integrating AI/ML models into product workflows. Candidates must have 4-6 years of experience with backend (Java/Python) and frontend (React) technologies. The engineer will own features end-to-end and work closely with cross-functional teams to solve customer problems.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Strong B2B SaaS role at a well-funded company with clear responsibilities and a relevant tech stack.

Role requirements, responsibilities, and team context are clearly defined and well-structured.

Salaries at Birdeye

23.7 LPA average

Based on 26 Grapevine salary entries for Birdeye.

View all salaries

Engineering

2 - 4 years | Software engineer

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Range: 12 - 18 LPA

Engineering

4 - 6 years | 36

27 LPA average

Range: 24 - 30 LPA

Other roles

0 - 2 years | C1

22 LPA average

Range: 22 - 22 LPA

Operations

2 - 4 years | Software engineer

12 LPA average

Range: 12 - 12 LPA

Must haves

  • 4-6 years of experience in full stack development
  • Strong backend development experience in Java or Python
  • Hands-on experience with frontend frameworks like React
  • Working knowledge of AI/ML concepts and integrating LLMs
  • Solid understanding of cloud infrastructure and system design

Tools and skills

javapythonreactai/mlllmscloud infrastructuredatabasesapis

Nice to have: openai, vertex, aws bedrock, microservices, event-driven systems, data pipelines.

About the company

Established SaaS platform backed by reputable investors like Accel-KKR, but not yet a global household name.

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