A Forward Deployed Engineer (FDE) sits closer to the customer than anyone else in our engineering organization. You will work directly with enterprise customers—understanding their business, constraints, and operating environment—and build solutions that solve real-world problems. This is not a role where requirements arrive neatly documented in a ticket. You'll often be the primary engineer on a customer account, working with incomplete information, evolving requirements, limited system access, and tight deadlines. Your responsibility is to identify the underlying problem, determine what should (and shouldn't) be built, and deliver production-ready solutions.
This role combines software engineering, solution architecture, customer engagement, and AI-assisted development to build integrations, automate workflows, deploy scalable solutions, and influence product direction based on customer feedback.
Key Responsibilities
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Lead end-to-end deployment of enterprise AI and software solutions in customer environments.
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Understand customer business processes and translate them into scalable technical solutions.
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Design, develop, and deploy Agentic AI, LLM, and RAG-based applications.
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Architect and implement integrations with CRM, ERP, Contact Center, HRMS, and other enterprise platforms.
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Develop production-grade applications, APIs, and automation workflows.
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Conduct customer workshops, solution discovery sessions, technical demonstrations, and architecture reviews.
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Build Proof of Concepts (POCs) and drive successful customer onboarding and adoption.
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Collaborate with Product, Engineering, and Customer Success teams to improve products based on customer feedback.
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Troubleshoot deployment issues, optimize performance, and ensure successful production rollouts.
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Prepare technical documentation, solution designs, implementation guides, and effort estimations.
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Act as the primary technical advisor for enterprise customers throughout the deployment lifecycle.
Required Skills
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Strong programming expertise in Python (preferred), Java, or Node.js/TypeScript.
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7+ years of experience in Software Engineering, Solutions Engineering, Solution Architecture, or Technical Consulting.
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Minimum 3+ years in enterprise customer-facing implementation or deployment roles.
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Experience with REST APIs, Webhooks, Microservices, Event-Driven Architecture, and enterprise integrations.
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Hands-on experience with AWS, Azure, or GCP.
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Strong understanding of LLMs, Prompt Engineering, RAG, Vector Databases, AI Agents, LangChain/LlamaIndex, and AI orchestration frameworks.
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Experience integrating enterprise applications such as CRM, ERP, Helpdesk, HRMS, Payment, or Contact Center platforms.
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Knowledge of SQL/NoSQL, Docker, Kubernetes, CI/CD, and distributed systems.
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Excellent debugging, analytical, communication, and stakeholder management skills.
Preferred Skills
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Experience with OpenAI, Anthropic Claude, Hugging Face, Pinecone, Weaviate, or similar AI platforms.
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Familiarity with enterprise security, compliance, and cloud deployment best practices.
What We're Looking For
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Strong customer-first mindset with excellent consulting and problem-solving skills.
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Ability to work independently in fast-paced enterprise environments.
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Comfortable engaging with technical teams as well as senior business stakeholders.