AI Forward Deployed Engineer (FDE)
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
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
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