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Forward Deployed Engineer

We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.

As we expand our customer base, we are building a world-class forward-deployed engineering team that works directly with customers to implement, integrate, and operationalize our platform in complex enterprise environments.

About the Role

We are looking for a Forward Deployed Engineer who excels at hands-on technical work, customer interaction, and real-world problem solving. In this role, you will work directly with enterprise customers to deploy, integrate, and customize our platform within their environments. You will act as the bridge between our core engineering team and live customer deployments—ensuring customers are successful, issues are resolved quickly, and integrations are robust, secure, and scalable.

Responsibilities

Customer-Facing Engineering • Work directly with enterprise customers to deploy and configure our platform in their production environments.

• Serve as the hands-on technical expert during onboarding, integration, and expansion phases.

• Troubleshoot issues in real time, owning them through resolution.

Integration & Implementation • Integrate our platform with customer systems, APIs, data sources, authentication frameworks, and enterprise workflows.

• Implement custom scripts, connectors, or extensions in Python where needed.

• Configure Azure-based deployments and assist customers with best practices.

Product & Platform Contribution • Gather customer feedback and translate real-world use cases into actionable product insights.

• Collaborate with internal engineering to reproduce issues, validate fixes, and enhance stability.

• Contribute improvements to deployment tooling, automation, and documentation.

Operational Ownership • Develop playbooks, checklists, migration guides, and integration best practices.

• Help establish repeatable, scalable processes for future deployments as we grow.

• Assist sales and customer success teams in technical scoping and feasibility analysis.

Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Experience:

• 4+ years in software engineering, solutions engineering, implementation engineering, or forward-deployed roles.

• Experience working directly with enterprise customers in technical engagements.

• Hands-on experience deploying or integrating systems on a major cloud provider, ideally Azure.

• Strong Python experience in production contexts.

• Experience working in fast-paced startup or high-growth environments is a plus.

Technical Skills:

• Strong proficiency in Python.

• Familiarity with Azure services.

• Experience integrating software with enterprise systems, APIs, or identity providers.

• Solid understanding of cloud deployment models, security constraints, and operational best practices.

• Strong debugging skills, including logs, traces, and distributed troubleshooting.

Soft Skills:

• Excellent communication skills, especially with technical and non-technical stakeholders.

• Analytical mindset with a strong focus on problem-solving.

• Comfortable working in a fast-paced, dynamic startup culture.

• Customer-obsessed mindset with a strong sense of ownership.

• Highly collaborative, resourceful, and comfortable navigating ambiguity.

Benefits

• Competitive Compensation: Tailored to your experience and skill set.

• Career Growth: Opportunities for professional development and leadership roles.

• Innovative Culture: Work on transformative technologies and make an impact in the AI space.

• Impact & Ownership: Join early and help shape how we deploy to enterprise customers.