Forward Deployed Engineer (AI)

Wonderful; Bengaluru; On-site; INR 2,400,000 - 4,800,000; Full time

Job summary

Wonderful in Bengaluru, India, seeks a Forward Deployed Engineer to solve real-world problems with enterprise customers. You will bridge engineering, AI, and customer success, designing AI-powered solutions and deploying production-ready AI agents that deliver measurable business impact.

You will own projects from problem discovery to deployment, collaborating with product and engineering teams, and building reusable tools and best practices to scale deployments.

Qualifications

• 5+ years of software engineering or technical product development experience.
• Strong CS fundamentals, system design, and problem-solving skills.
• Experience building scalable backend systems, APIs, and integrations.
• Comfortable working across distributed systems, data pipelines, and third-party platforms.
• Ability to thrive in ambiguous environments and independently drive projects to completion.
• Excellent communication skills with the confidence to work directly with enterprise customers.
• Strong ownership mindset with a bias toward execution.
• Passion for building practical AI systems that create real business value.

Responsibilities

• Partner directly with enterprise customers to understand business workflows and operational challenges.
• Translate ambiguous business problems into scalable technical solutions.
• Design, build, and deploy AI agents integrated with customer systems and workflows.
• Own end-to-end implementation from architecture and development to deployment and production reliability.
• Validate solutions using real-world data, monitor outcomes, and continuously improve performance.
• Collaborate closely with product and engineering teams to ship high-quality AI capabilities.
• Build reusable tools, documentation, and best practices that accelerate customer deployments.

Skills

Software engineering

System design

Distributed systems

APIs & integrations

Backend development

AI systems

Tools

AWS

GCP

Azure

Job description

We're looking for exceptional engineers who enjoy solving complex, real‑world problems alongside enterprise customers. As a Forward Deployed Engineer (FDE), you'll work at the intersection of engineering, AI, and customer success, partnering directly with customers to understand their workflows, designing AI‑powered solutions, and deploying production‑ready AI agents that deliver measurable business impact. This is a hands‑on, high‑ownership role where you'll take projects from problem discovery to production deployment, working across product, engineering, and customer teams.

Responsibilities:

• Partner directly with enterprise customers to understand business workflows and operational challenges.
• Translate ambiguous business problems into scalable technical solutions.
• Design, build, and deploy AI agents integrated with customer systems and workflows.
• Own end‑to‑end implementation from architecture and development to deployment and production reliability.
• Validate solutions using real‑world data, monitor outcomes, and continuously improve performance.
• Collaborate closely with product and engineering teams to ship high‑quality AI capabilities.
• Build reusable tools, documentation, and best practices that accelerate customer deployments.

Requirements:

• 5+ years of software engineering or technical product development experience.
• Strong computer science fundamentals, system design, and problem‑solving skills.
• Experience building scalable backend systems, APIs, and integrations.
• Comfortable working across distributed systems, data pipelines, and third‑party platforms.
• Ability to thrive in ambiguous environments and independently drive projects to completion.
• Excellent communication skills with the confidence to work directly with enterprise customers.
• Strong ownership mindset with a bias toward execution.
• Passion for building practical AI systems that create real business value.

Nice to Have:

• Experience as a forward‑deployed engineer, solutions engineer, implementation engineer, or technical consultant.
• Experience building AI agents, LLM applications, automation platforms, or conversational AI systems.
• Familiarity with MCP, agent frameworks, RAG, workflow orchestration, or enterprise AI deployments.
• Experience operating and improving production systems at scale.
• Exposure to cloud platforms such as AWS, Azure, or GCP.