Forward Deployed Engineer, Architect

6 days ago

Chennai, Tamil Nadu, India DevRev Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Role:

You'll work closely with our customers, Applied AI engineers, and platform teams to design, build, and deploy AI agents that automate workflows, connect with external systems, and continuously learn from human and machine interactions. If you're passionate about real-world AI, thrive in dynamic environments, and enjoy solving complex customer challenges, we'd love to hear from you.

What You'll D

  • o:Design & Deploy AI Agen
    ts: Build, configure, and launch intelligent agents using the DevRev platform to solve real customer problem
  • s.Integrate Syste
    ms: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automatio
  • n.Optimize Performan
    ce: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalabilit
  • y.Own Requiremen
    ts: Partner with customers to deeply understand their needs and translate them into technical agent specification
  • s.Prototype & Itera
    te: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedbac
  • k.Lead Executi
    on: Define project plans, align internal teams, and ensure timely delivery of deployment
  • s.Advise Custome
    rs: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalabilit

**y.

What You Br**

  • ingBackgro
    und: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical fie
  • ld.Experie
    nce: 3+ years in software development, AI/ML engineering, or technical consulting. Customer-facing experience is a pl
  • us.Coding Ski
    lls: Strong proficiency in Python and/or Golang. Clean, maintainable code is your defau
  • lt.Applied AI Knowle
    dge: Familiarity with large language models (LLMs), prompt engineering, and frameworks like RAG and function calli
  • ng.Cloud & Dev
    Ops: Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observabilit
  • y).System Integrat
    ion: Comfortable integrating systems via APIs, webhooks, and event/data pipelin
  • es.Data-Driven Mind
    set: Use A/B testing, telemetry, and metrics to guide decisions and drive improvemen
  • ts.Communicat
    ion: Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholde
  • rs.Customer Empa
    thy: A bias for action and a relentless focus on solving problems for custome

rs.

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