Senior Forward Deployed Engineer
CodeRound is hiring for this role.
- Senior Forward Deployed Engineer
- Senior FDE
- Deployed Engineer
- Senior Software Engineer
- Solutions Engineer
- Customer Engineering
- Customer-Facing Engineering
- Python
- JavaScript
- TypeScript
- AI
- LLM
- AI Agents
- Prompt Engineering
- RAG
- API Integrations
- REST APIs
- Webhooks
- Distributed Systems
- Cloud
- AWS
- GCP
- Azure
- SaaS
- Automation
- Production Engineering
- System Design
- Technical Consulting
- Customer Success
We are looking for a Senior Forward Deployed Engineer to lead complex customer implementations and build production-grade AI solutions in highly ambiguous, customer-facing environments. You will combine strong software engineering fundamentals with AI expertise, customer management, and product judgment to take solutions from problem definition through architecture, development, deployment, and continuous optimization. The role requires someone who can independently own high-impact technical projects while working closely with customers and cross-functional teams.
What you'll do
- Own complex customer deployments from discovery and solution design through development, deployment, and optimization.
- Partner directly with customers to understand business workflows, technical constraints, and desired outcomes.
- Architect and build reliable, production-grade integrations and AI-powered solutions.
- Lead the implementation of AI agents, automations, prompts, integrations, and customer-specific workflows.
- Diagnose complex production issues across application, integration, data, and AI layers.
- Establish robust testing, monitoring, and validation processes for deployed solutions.
- Identify edge cases and failure modes before and after deployment and implement appropriate safeguards.
- Use customer and product data to identify performance gaps and drive measurable improvements.
- Translate customer feedback into actionable technical and product recommendations.
- Work closely with engineering, product, support, and leadership teams to resolve high-priority issues.
- Make independent technical and product decisions in situations where requirements are incomplete or conflicting.
- Manage multiple high-priority customer engagements while balancing technical quality, timelines, and customer expectations.
- Communicate technical risks, trade-offs, and performance outcomes clearly to senior stakeholders and customers.
- Help establish best practices for deployments, integrations, observability, and customer-facing engineering across the team.
- Mentor other engineers and raise the technical bar for customer implementations.
Must have
5–8 years of experience in software engineering, forward deployed engineering, solutions engineering, or a similar technical role. Strong software engineering fundamentals with proficiency in Python, JavaScript/TypeScript, or another modern programming language. Proven experience designing, building, testing, and deploying production systems end-to-end. Strong experience with third-party integrations, APIs, webhooks, external services, and distributed systems. Demonstrated ownership of technically complex projects with ambiguous or evolving requirements. Experience working directly with enterprise customers or external stakeholders on technical implementations. Strong debugging and production troubleshooting capabilities. Hands-on experience with AI/LLM-powered applications and prompt engineering. Ability to independently translate business/customer problems into scalable technical solutions. Excellent communication skills, with the ability to explain technical decisions and trade-offs to both engineering teams and customers.
Good to have
Experience building and deploying AI agents, conversational AI, RAG systems, or LLM applications. Experience with agent frameworks, evaluation systems, model orchestration, or AI workflow automation. Experience with AWS, GCP, Azure, containers, CI/CD, or modern cloud infrastructure. Experience with observability, monitoring, logging, reliability engineering, and production performance optimization. Experience using AI-assisted development tools such as Claude Code, Cursor, or similar platforms. Experience owning customer implementations from discovery through production and post-launch optimization. Experience in a high-growth startup or rapidly changing product environment. Strong product instincts and ability to identify opportunities beyond the immediate customer request. Experience defining and tracking KPIs to measure the performance and business impact of deployed solutions. Experience mentoring engineers or leading technical projects across multiple teams.