{"id":4261415,"url":"https://alion.io/job/revrag-ai-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":2442736,"name":"RevRag AI","domain":"revrag.ai","url":"https://alion.io/company/revrag","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-11-13T15:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-13T15:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a hands-on Forward Deployed Engineer (FDE) with strong Python and Generative AI experience to build, integrate, and deploy AI-powered applications for enterprise customers. In this customer-facing engineering role, you will work on configuring and deploying AI agents, developing prompts and conversation flows, integrating customer systems, and ensuring reliable production deployments. You will collaborate closely with senior FDEs, product, and engineering teams to deliver high-quality AI solutions.\n\nResponsibilities: \nBuild, configure, and deploy Voice and In-App AI Agents for customer environments.\nDesign, write, and optimise prompts, system instructions, tool calling, and conversation flows for LLM-based agents.\nImplement tools, guardrails, and structured outputs to improve agent performance and reliability.\nIntegrate AI agents with customer systems using APIs, webhooks, SDKs, and telephony integrations.\nHandle multilingual conversations, edge cases, and customer-specific workflows.\nRun evaluations to measure and improve agent accuracy, response quality, latency, and conversion.\nDebug production issues and improve application reliability and performance.\nSupport customer demos, technical walkthroughs, and deployment discussions.\nCollaborate with senior FDEs, product, and engineering teams to deliver customer deployments.\nDocument deployment processes and contribute to reusable technical playbooks.\nOccasionally travel to or work from customer sites to support deployments and ensure smooth operations.\n\nRequirements: \n2-3 years of experience building and shipping production-grade software applications.\nStrong hands-on experience with Python and software engineering fundamentals.\nPractical experience building LLM/GenAI applications, including prompting, RAG, and tool calling.\nUnderstanding of prompt engineering for LLM agents, including system prompts, tool usage, and structured outputs.\nWorking knowledge of LLM application development and integration.\nExperience with REST APIs, webhooks, and SDK integrations.\nExposure to cloud platforms, preferably AWS.\nAbility to troubleshoot production issues and understand application reliability and latency fundamentals.\nStrong problem-solving and debugging skills.\nGood written and verbal communication skills, with the ability to interact confidently with customers.\nExperience in Forward Deployed Engineering, Solutions Engineering, Implementation Engineering, or similar customer-facing technical roles.\nExperience deploying LLM/GenAI applications in production or real customer environments.\nExposure to Voice AI, conversational AI, and telephony integrations.\nExperience working with enterprise customers.\nAbility to independently own technical projects and drive them from setup to production.\nSkills\nAPI, Gen AI, LLM, Python, RAG, REST, SDK, Webhooks","description_format":"text","description_chars":2852,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Agents","Human 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