Forward Deployed Engineer II

Meesho • Bachelor's Degree • C++ • Go • Java • Node JS • Python • JavaScript • 2 months ago
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Salary
≈ $22k – $60k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp
Overview
Company
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Profile match

Meesho

Meesho is an Indian e-commerce company headquartered in Bengaluru and founded in 2015. The company operates an online marketplace that enables small businesses and individual entrepreneurs to sell products such as apparel, home goods, and electronics directly to consumers. Originally established as a social commerce platform facilitating sales through networks like WhatsApp and Facebook, it has evolved into a large-scale retail ecosystem serving millions of users across India.
meesho.com • HQ: Bengaluru, India • B2B Commerce • Apparel & Fashion • Consumer Goods • Commerce • Marketplaces • Social Commerce • Est. 2015

Responsibilities:

  • Own end-to-end client onboarding, from requirement gathering and solution design to platform configuration, UAT, and production go-live.
  • Conduct technical discovery sessions to map client needs.
  • Design custom conversation flows and integration logic for clients.
  • Develop POCs and prototypes for development.
  • Troubleshoot and resolve production issues across the stack.
  • Build technical solutions to bridge gaps between our platform and client systems.
  • Stay updated with emerging tech cultures and identify the right opportunities to implement them.
  • Contribute to improving onboarding frameworks and FDE tooling.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 2-5 years of experience in software engineering or forward-deployed engineering or a client-facing technical delivery role in a B2B SaaS or AI product company.
  • Proficiency in Python and/or Go with hands-on experience building and debugging technical systems.
  • Strong understanding of database systems (e. g., MySQL, PostgreSQL, MongoDB).
  • Familiarity with cloud platforms (AWS/GCP/Azure) and basic containerization concepts (Docker, Kubernetes).
  • Working knowledge of Voice AI concepts- ASR, TTS, LLM- or strong willingness to learn rapidly.
  • Exposure to telephony infrastructure (SIP, VoIP, CPaaS providers) is a strong plus.
  • Excellent communication skills- ability to explain a production outage to a CXO and a config change to a developer in the same meeting.
  • Structured problem-solving approach.
  • Prior experience with conversational AI platforms, contact center tech, or LLM-based applications is highly preferred.
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