Forward Deployed Engineer (AI and Automation) in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Forward Deployed Engineer (AI and Automation) in the United States.

This is a high-impact, hands-on engineering role at the intersection of AI, automation, and business transformation. You will embed directly within cross-functional teams to design and deploy intelligent systems that reimagine how core business operations are executed. The role focuses on turning manual, high-friction workflows into scalable, agent-driven solutions powered by modern AI technologies. Working closely with both technical and non-technical stakeholders, you will translate real-world operational needs into production-grade systems that deliver measurable business impact. This is a fast-paced environment where experimentation, ownership, and rapid iteration are core expectations. The position offers significant autonomy to shape solutions end-to-end, from discovery and design through deployment and optimization. You will play a key role in accelerating AI adoption across the organization while ensuring reliability, security, and scalability of all deployed systems.

• Design, build, and deploy production-grade AI agents and automation systems that solve complex operational challenges across business functions.
• Partner with subject matter experts to translate manual workflows into scalable, reliable agentic architectures.
• Rapidly prototype and deliver end-to-end AI solutions using Python and modern LLM-based frameworks, from discovery through production deployment.
• Integrate AI systems with enterprise platforms such as Salesforce, Workday, and other core SaaS tools while ensuring secure and reliable data flow.
• Develop monitoring, evaluation, and guardrail systems to ensure AI solutions are accurate, compliant, and production-safe.
• Lead structured discovery sessions with stakeholders to define requirements, feasibility, and technical scope before implementation.
• Build evaluation frameworks to measure agent performance, detect regressions, and ensure ongoing system reliability.
• Enable internal teams by sharing knowledge, building reusable tooling, and promoting AI-first automation practices across the organization.
• Maintain clear documentation, architecture decisions, and reusable playbooks to support long-term scalability and adoption.
• Collaborate with legal, security, and engineering teams to ensure responsible handling of data, including PII and compliance requirements.

• 5+ years of software engineering experience delivering production-grade systems used in real-world environments.
• Strong experience with Python or equivalent languages such as TypeScript or Go.
• Hands-on experience with AI/LLM technologies, including APIs, agent frameworks, RAG patterns, or similar architectures.
• Familiarity with LLM evaluation techniques such as prompt testing, human-in-the-loop validation, and automated evaluation pipelines.
• Experience integrating systems via REST APIs, SQL-based data pipelines, and cloud platforms (AWS or GCP).
• Strong product mindset with the ability to identify problems, design solutions, and communicate trade-offs effectively.
• Experience working across organizational boundaries and collaborating with both technical and non-technical stakeholders.
• Strong understanding of modern software engineering practices, including testing, CI/CD, and scalable system design.
• Excellent communication skills and ability to influence decisions at multiple levels of the organization.
• Demonstrated ability to work in fast-moving, ambiguous environments with high ownership expectations.

• Competitive compensation package including base salary, stock options, and performance-based rewards.
• 401(k) retirement plan with company match.
• Comprehensive health, dental, and vision insurance effective from day one.
• Fully remote work environment within the United States.
• Flexible time off and strong work-life balance support.
• High-growth, mission-driven culture focused on innovation and impact.
• Opportunities for professional development and career advancement.
• Exposure to cutting-edge AI systems and real-world automation at scale.
• Inclusive and collaborative environment that values diverse perspectives.
• Opportunity to directly shape AI-driven transformation across core business operations.