Forward Deployed Engineer

Leena AI
Gurgaon, INEngineerup to $50kPosted Jul 14, 2026
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Skip to main content Forward Deployed Engineer Leena AI Gurgaon, Haryana, India Apply Forward Deployed Engineer Leena AI Gurgaon, Haryana, India 11 hours ago 107 applicants See who Leena AI has hired for this role Apply Save Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. About The RoleLocation: Gurugram (Preferred)As a Forward Deployed Engineer (FDE) at Leena AI, you will partner with enterprise customers to design, build, and deploy AI-powered solutions across HR, IT, and Enterprise Operations. Acting as the primary technical lead, you will own customer implementations from discovery through production, combining software engineering, AI application development, enterprise integrations, and solution consulting to deliver measurable business outcomes.You will work closely with customers, Product, and Engineering teams to configure AI assistants, build integrations, customize LLM-powered experiences, solve complex technical challenges, and ensure successful deployments.Key ResponsibilitiesCustomer Engagement & Solution DeliveryLead end-to-end enterprise implementations from discovery to production go-live. Gather business and technical requirements and translate them into scalable AI solutions. Conduct solution workshops, technical design sessions, and stakeholder reviews. Prepare solution design documents, implementation plans, and deployment documentation. Drive UAT, production deployments, hypercare, and post-go-live support. AI Engineering & LLM CustomizationCustomize AI assistants and LLM-powered experiences for customer-specific use cases. Build...

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