Forward Deployed Engineer

Indotronix International Corporation

  • San Antonio, TX
  • 2 days ago
  • Remote

    Highlights

    Skills ?Palantir Certification ?Deep full-stack proficiency: Python ?Proven track record in building and deploying AI/ML applications in production at enterprise scale ?4+ years in customer facing or field roles Data Engineering Skills. Join an elite AI team as a Forward Deployed Engineer, collaborating directly with enterprise clients to design, build, and deploy impactful AI and ML solutions.

    Numbers & Facts

    LocationSan Antonio, TX (
    Remote
    )

    Description

    • Current Openings
    • Veterans Program
    • Working With Indotronix
    • Referral Program

    All current openings

    Forward Deployed Engineer

    • Location: San Antonio, Texas 78258
    • Work model: On-site
    • Posted 8 weeks ago
    • Job ID: JPC - 208302

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    Job Description

    Forward Deployed Engineer (AI/ML) - Remote | San Antonio, TX

    About the Role

    Join an elite AI team as a Forward Deployed Engineer, collaborating directly with enterprise clients to design, build, and deploy impactful AI and ML solutions. This contract role offers the chance to deliver production-grade AI applications, drive digital transformation, and shape the future of enterprise technology. You'll play a pivotal role as both a technical expert and trusted customer advisor, working remotely with up to 25% travel (all expenses covered).

    Responsibilities

    • Architect, build, and deploy end-to-end AI/ML systems in production environments for high-impact enterprise use cases.
    • Design and implement AI agentic workflows, Retrieval-Augmented Generation (RAG) pipelines, and scalable enterprise applications.
    • Develop robust data pipelines and ensure seamless integration with enterprise databases and business systems.
    • Lead solution architecture, prototyping, deployment, and post-production optimization for AI projects.
    • Translate complex business problems into innovative technical solutions in close partnership with customer stakeholders.
    • Champion DevOps best practices, including observability, monitoring, and AI governance for all deployments.

    Required Skills and Experience

    • Current Palantir Certification (mandatory).
    • 6+ years in software engineering, data engineering, or AI/ML roles.
    • 4+ years in customer-facing, consulting, or field engineering positions.
    • Demonstrated experience delivering and maintaining enterprise-scale AI/ML applications.
    • Advanced Python development and full-stack engineering background.
    • Hands-on knowledge of LLMs, RAG architectures, vector databases, prompt engineering, and AI orchestration frameworks.
    • Proven expertise in data engineering, including ETL/ELT pipelines and large-scale data integration.
    • Strong DevOps skills: Docker, Kubernetes, CI/CD, cloud-native deployments.
    • Exceptional communication abilities for effective collaboration with technical and business teams.

    Preferred Skills

    • Experience with additional enterprise AI platforms.
    • Exposure to advanced AI governance frameworks.
    • Prior work in highly regulated industries.

    Benefits

    • 100% remote work with flexible hours.
    • Travel opportunities (up to 25%, all expenses covered).
    • Exposure to cutting-edge AI/ML technologies and enterprise-scale solutions.
    • High-impact role with direct influence on customer success and business outcomes.
    • Career growth through direct client engagement and leadership of complex, next-generation AI projects.

    How to Apply

    Ready to accelerate your AI engineering career and work with industry-leading clients? Apply now by submitting your resume and Palantir certification details. Qualified candidates will be contacted for a virtual interview.

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    Job details

    Job ID JPC - 208302

    Location San Antonio, Texas, United States

    Work Model On-site

    Job Type Contract

    Posted August 24, 2026

    Skills ?Palantir Certification ?Deep full-stack proficiency: Python ?Proven track record in building and deploying AI/ML applications in production at enterprise scale ?4+ years in customer facing or field roles Data Engineering Skills

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