One of our clients, a leading Series C-funded AI startup, is looking for an experienced Forward Deployed Engineer (FDE) to design, build, and deploy AI-powered solutions for enterprise customers. This role combines hands-on software engineering, AI application development, solution architecture, and direct customer engagement to solve complex business problems and deliver measurable impact.

Key Responsibilities

- Conduct discovery sessions with enterprise customers to understand business challenges, workflows, and operational goals.
- Design solution architectures, integration plans, and implementation strategies for enterprise AI applications.
- Build and deploy AI agents and LLM-powered applications to automate workflows and retrieve relevant information.
- Develop Retrieval-Augmented Generation (RAG) pipelines and prompt strategies using customer data.
- Build scalable backend services, APIs, and data pipelines to integrate multiple enterprise systems.
- Design robust failure-handling mechanisms, including retries, queues, and human hand-offs.
- Integrate AI solutions with enterprise platforms such as Salesforce, SAP, and Microsoft Dynamics.
- Deploy solutions into production environments, ensuring reliability, security, and scalability.
- Own end-to-end customer delivery, manage priorities and scope, and ensure successful implementation.
- Collaborate with Product, Engineering, ML, Platform, and Customer Success teams.
- Track KPIs, measure business impact, and continuously improve deployed solutions.

Required Skills

- AI Application Development and LLM-powered agents
- Solution Architecture and Scalable Backend Development




- Strong software engineering fundamentals and distributed systems knowledge
- RAG pipelines, prompt engineering, and workflow automation
- API development, system integrations, and data pipelines
- Enterprise deployment and client-facing delivery
- Technical problem-solving and stakeholder communication
- Enterprise security and reliability practices

Preferred Skills

- Experience with LangChain, LangGraph, or similar AI orchestration frameworks.
- Knowledge of conversational AI and voice AI, including multilingual applications.
- Exposure to MLOps and production AI monitoring.
- Familiarity with monitoring tools such as Datadog, Grafana, or Prometheus.
- Experience integrating with enterprise platforms such as Salesforce, SAP, and Microsoft Dynamics.

Ideal Candidate Profile
- Bachelor's or Master's degree in Computer Science, IT, Electronics, AI, or a related field.
- 6+ years of hands-on software engineering experience.
- Proven experience building and deploying AI agents or LLM-based applications for enterprise customers.
- Experience in early-stage startups, founding-engineer roles, or technology/SaaS product companies.
- Solid client-facing delivery experience and the ability to communicate with both technical and non-technical stakeholders.
- Demonstrated expertise in scalable system design, distributed systems, and production-grade backend engineering.

Skills: enterprise security practices,communication skills,ai application development,scalable backend development,distributed systems,integration with enterprise platforms,langchain,langgraph,conversational ai,mlops,solution architecture

📌 Forward Deployed Engineer (FDE) (Mumbai)
🏢 EZSpace Ventures
📍 Mumbai