Forward Deployed Engineer

Indotronix International Corporation
San Antonio, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Shift work

Tech stack

Artificial Intelligence Big Data Business Systems Cloud Engineering Databases Continuous Integration Information Engineering Extract Transform Load (ETL) DevOps Python (Programming Language) Machine Learning Software Engineering
+13 more
Enterprise Software Applications Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Agentic-AI AI Platforms Kubernetes Data Management Machine Learning Operations Data Pipelines Docker

Job description

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)., * 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.

Requirements

Artificial Intelligence (AI), Work From Home, Willing to Travel, Use Cases, Production Systems, Enterprise Applications, Business Solutions, Data Management, Prototyping, Best Practices, * 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., 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

Benefits & conditions

  • 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.

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