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R2 Technologies Corporation

Sr. Java Developer

Dallas, TX · On-site

$56.75 - $72.25/hr

About R2 Technologies:R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a ...

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    Infographic showing various job openings at R2 Technologies in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

    Forward Deployed Engineer (Applied AI / Enterprise Deployment) - Q3 - 2026

    R2 Technologies Corporation

    Alpharetta, GA • On-site

    Full-time

    Posted 25 days ago

    Job description

    Overview:
    About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
    Job Summary: The bottleneck in enterprise AI has moved from model access to deployment capability. R2 Technologies is seeking a Forward Deployed Engineer to work embedded with client teams-sitting with the people who will actually use the system, learning their workflow in detail, and shipping the integration code that makes AI work in their environment. This role combines hands-on engineering with direct client engagement, taking solutions from scoped requirement through production adoption.
    Key Responsibilities:
    • Work embedded with client engineering and business teams to translate operational workflows into deployable AI solutions.
    • Build and integrate LLM-powered applications and agents against client data sources, APIs, and legacy enterprise systems.
    • Develop custom connectors, data pipelines, and integration layers required to make platform capabilities work in client-specific environments.
    • Run discovery sessions with stakeholders, decompose ambiguous business problems into shippable scope, and set realistic delivery expectations.
    • Own solutions through the full lifecycle-prototype, production deployment, monitoring, and iteration based on real user feedback.
    • Document deployment patterns, integration decisions, and reusable components to accelerate subsequent client engagements.

    Qualifications:
    • 3 years of experience in software engineering, solutions engineering, or applied AI deployment.
    • Strong programming skills in Python, with working knowledge of TypeScript, Java, or Go.
    • Hands-on experience integrating LLMs and building AI applications against enterprise data sources and APIs.
    • Experience with REST APIs, microservices, authentication patterns, and enterprise system integration.
    • Cloud deployment experience on AWS, Azure, or GCP, including containerization and CI/CD.
    • Strong written and verbal communication; comfortable operating independently in client environments with ambiguous requirements.

    Skills:
    Applied AI, LLM Integration, Python, Enterprise Integration, REST APIs, Client Engagement, Solution Deployment, RAG

    Apply