Forward Deployed Engineer (FDE) (Location - Mumbai, Pune)

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
2-5 years
Mumbai, Maharashtra
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 4 Nov 2026

Posted: 1 month ago
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Job Description

About the Company

Aistra is engaged from strategy and AI roadmap through to production, operations and scaling. We are an AI-native firm rather than one retrofitting itself, providing access to Aistras accelerators, toolkits and IP, and to current AI tooling and platforms. We operate across India, MENA, the UK and Australia, and engineers who want international deployment will find the route open rather than theoretical.

About the Role

A Forward Deployed Engineer is how Aistras work reaches production. You embed with a client, take the problem at its vaguest, and stay with it until it runs in their environment and their team stops asking you questions about it. This is a deliberately broad role, where one person carries the workstream, and that person is you.

Responsibilities

  • Design, build and ship production-grade full-stack applications into client environments, owning features from requirement through to deployment.
  • Integrate across the clients estate, spanning CRM, ERP and finance, ticketing and service management, data platforms, identity, and internal or third-party APIs, ensuring data flow is reliable and secure.
  • Own workstreams end to end: scope the problem, design the architecture, build the thing and drive it into production.
  • Build on large language models and agent frameworks where the problem calls for it, covering orchestration, retrieval, prompting, guardrails and evaluation.
  • Apply engineering discipline to everything shipped: automated testing, continuous integration and deployment, code review, and observability.
  • Document integrations, architecture decisions and runbooks, so that the next person into this system is not reverse-engineering your reasoning at 11pm.

Qualifications

A degree in computer science, engineering or a related discipline is the common route into this role, not the only one. We weigh what you have built more heavily than what you studied or where, and strong practical evidence in place of a formal degree is considered on its own merits. Postgraduate qualifications and certifications in cloud, security or machine learning are welcome.

Required Skills

  • Production ownership, end to end.
  • Full-stack build capability.
  • Cloud and deployment fundamentals.
  • AI-native engineering.
  • Client-facing composure.
  • Ownership and learning velocity.

Preferred Skills

  • 2 to 5 years shipping production software with real depth in at least one modern stack across frontend, backend and data layers.
  • Frontend depth in a modern component framework such as React, Next.js, Vue or Angular with TypeScript.
  • Database work at production depth.
  • Enterprise integration across CRM, ERP and finance.
  • Working knowledge of AWS, Azure or GCP.

Pay range and compensation package

Competitive compensation with performance-linked growth.

Equal Opportunity Statement

Aistra is committed to diversity and inclusivity in the workplace. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law.

Skills

ErpMachine LearningLarge Language ModelsAiGuardrails

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