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SpaceX

On-site

Forward Deployed Engineer - India

Full-timePosted
Salary
Not disclosed
Experience
5–6 years
Eligible batches
2020 · 2021
Location
On-site

About the role

SpaceXSI is seeking a Forward Deployed Engineer to work on‑site in India, embedding with customer teams to deliver production‑grade AI‑driven systems. You will own outcomes, build and harden agents, and translate field feedback into product improvements.

Responsibilities

  • Lead discovery sessions with customers, understand their codebases and define success metrics.
  • Design, develop and ship AI‑powered agents and workflows using Python and JavaScript/TypeScript.
  • Rapidly prototype solutions, then iterate with monitoring, evaluation and rollout.
  • Ensure production quality through tracing, debugging, latency and cost optimisation.
  • Build supporting infrastructure such as retrieval systems, CI gates and integration with customer auth and data pipelines.
  • Measure impact on revenue, cost, time saved or error reduction and hand over maintainable solutions.

Eligibility

  • Minimum 5 years of experience in software engineering, machine‑learning engineering or data science.
  • Proven track record of delivering customer‑facing AI solutions end‑to‑end.
  • Experience debugging production failures across models, tools, data or pipelines.

Skills

  • Strong programming in Python and JavaScript/TypeScript.
  • Hands‑on experience with AI‑native workflows, agents and model evaluation.
  • Ability to design scalable, secure integrations with authentication and data systems.
  • Familiarity with CI/CD, monitoring and performance tuning.

Resume keywords

Asked for

  • Python
  • JavaScript
  • TypeScript
  • Machine learning
  • Data science
  • Software engineering

Nice to have

  • Agents
  • CI/CD
  • Retrieval
  • Tool-calling
  • Eval harnesses
Tailor my resume with these

Benefits

  • Opportunity to work on cutting‑edge super‑intelligence products.
  • Direct impact on real‑world customer outcomes.
  • Collaboration with senior platform and domain leaders.
  • Exposure to large‑scale AI infrastructure and research.

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