{"id":4261414,"url":"https://alion.io/job/revrag-ai-senior","title":"Senior","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":"DevOps","role_family":"DevOps","seniority":"senior","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","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"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":"LLMOps","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 Senior Forward Deployed Engineer with strong backend engineering skills and hands-on experience building and deploying LLM/GenAI-powered applications in production.\n\nIn this role, you will work closely with enterprise customers to understand their business requirements, design AI-powered solutions, and take ownership of end-to-end deployments. You will combine software engineering, AI agent development, system integration, and customer-facing problem-solving to deliver scalable solutions in real-world environments.\n\nThe ideal candidate should be comfortable working in ambiguous environments, independently owning technical implementations, and interacting with senior enterprise stakeholders.\n\nResponsibilities: \nOwn complex, high-impact customer deployments end-to-end, from requirement gathering and solution design to integration, production rollout, and post-deployment optimisation.\nDesign, develop, and deploy AI agents for Voice AI and in-app customer-facing workflows.\nBuild and optimise LLM-powered applications involving RAG, AI agents, tool calling, and structured outputs.\nDevelop and refine system prompts, conversation flows, guardrails, and agent logic to improve response quality and reliability.\nOptimise prompts and conversational experiences for multilingual use cases, edge cases, and real-world customer interactions.\nLead technical integrations with customer systems using APIs, webhooks, SDKs, and telephony integrations.\nEnsure production reliability, performance, latency optimisation, and monitoring of deployed AI solutions.\nAct as the primary technical point of contact for enterprise customers, leading solution discussions, product demonstrations, and technical workshops.\nWork closely with product and engineering teams to translate customer requirements and implementation feedback into platform improvements.\nEstablish deployment standards, technical documentation, and best practices for forward deployment.\nMentor junior and mid-level engineers and contribute to improving engineering and delivery standards.\nSupport customer deployments through occasional travel or on-site engagement as required.\n\nRequirements: \n4-6 years of experience in backend engineering, software development, or forward-deployed engineering.\nStrong proficiency in Python and backend development.\nHands-on experience building and deploying LLM/GenAI applications in production.\nStrong understanding of AI agents, RAG, tool calling, and prompt engineering.\nExperience with LLMOps, evaluation frameworks, guardrails, and conversation design.\nStrong knowledge of REST APIs, webhooks, SDK integrations, and asynchronous processing.\nExperience with cloud platforms, preferably AWS.\nAbility to troubleshoot production issues related to latency, performance, and reliability.\nExperience handling enterprise customers and end-to-end technical deployments.\nExcellent communication, problem-solving, and stakeholder management skills.\nBFSI, Fintech, or Insurance domain experience is preferred.\nAbility to independently own projects and translate business requirements into production-ready solutions.\nSkills\nAI Agents, APIs, AWS, Gen AI, LLM, Prompt Engineering, Python, RAG, 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