Haystack
← Back to Jobs
Other
XO

AI Forward Deployed Engineer (FDE)

Xoriant CorporationSan Jose, CA🇺🇸United StatesPosted 28 Jul 2026

Why This Role Stands Out

As an AI Forward Deployed Engineer at Xoriant Corporation, you'll gain hands-on experience deploying cutting-edge AI solutions directly with enterprise clients, offering significant growth and learning opportunities. This hybrid role is ideal for mid-senior level engineers who thrive on direct customer engagement and possess a passion for making a tangible impact with AI technologies, all while earning a competitive hourly rate. Apply now to be at the forefront of AI innovation!

Quick Overview

Salary
$70 - $80/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: AI Forward Deployed Engineer (FDE)

Location: San Jose, CA

Duration: 6+ Months (Extension Possible)

 Xoriant reasonably expects the pay rate for this position to be within the following range: $70/hr-$80/hr.

Role Overview & Responsibilities

  • Client-Embedded Execution: Work shoulder-to-shoulder with strategic enterprise customers to deploy AI capabilities directly into their live production systems.
  • AI System Integration: Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software.
  • Evaluations & Optimization: Create testing and evaluation frameworks to minimize hallucinations, measure model performance, track observability, and drive cost efficiencies.
  • Feedback Loop: Translate custom client deployment hurdles and recurring field requirements back into core product and model roadmaps.

Required Qualifications & Skills

  • Engineering Stack: 3–5+ years of software development experience using Python, TypeScript, and SQL alongside full-stack system design.
  • AI Tooling: Hands-on experience with frameworks like LangChain, LangGraph, HuggingFace, vector databases, and model APIs (OpenAI, Anthropic, or similar).
  • Cloud & Infrastructure: Familiarity with deploying secure workloads via AWS, Azure, Google Cloud Platform, Docker, and Kubernetes within client environments.

 Regards,

Akangsha

Skills

Docker
SQL
AWS
Azure
Google Cloud
Kubernetes
Python
TypeScript

Similar jobs