{"id":3141336,"url":"https://alion.io/job/exotel-forward-deployed-engineer-iii-voicebot-delivery","title":"Forward Deployed Engineer III - Voicebot Delivery","company":{"id":3284,"name":"Exotel","domain":"exotel.com","url":"https://alion.io/company/exotel","size_band":"51-200","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":"middle","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Multi-Agent Systems","optional":true},{"name":"WebRTC","optional":true}],"status":"live","first_seen_at":"2026-10-23T08:16:21Z","employer_posted_date":null,"last_verified_at":"2026-10-23T08:16:21Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"About Exotel :\n\nExotel is India's leading AI-first cloud communications platform, powering over 25 billion customer conversations annually for 6,000+ enterprises across India, Southeast Asia, and the Middle East.\n\nFrom voice and contact centres to AI-powered customer engagement, Exotel enables businesses to build reliable, scalable, and intelligent customer experiences.\n\nAbout the Role :\n\nYou will be the senior technical voice in Voicebot Delivery: setting the standards others build to, taking on the hardest and most novel builds, and shaping what gets productised rather than rebuilt for each customer.\n\nWhat You'll Do:\n\nSolution Architecture and Delivery:\n\n- Own the most complex and novel voicebot builds, and set the technical approach others follow.\n\n- Act as design authority on solution and integration architecture across the customer's communication stack, and make the feasibility call at scoping.\n\n- Be the technical voice in front of enterprise customers and in escalations.\n\nLLM and Platform Engineering:\n\n- Set the prompt patterns, evaluation standards and guardrails the team builds to.\n\n- Own the architecture of LLM-backed conversation systems: orchestration, retrieval, tool use, latency and failure behaviour.\n\n- Build the connectors, test suites, accelerators and tooling the whole team reuses.\n\nTechnical Leadership:\n\n- Shape the product and engineering roadmaps - turn recurring patterns into platform work rather than repeated bespoke builds.\n\n- Partner with Product and Engineering on customer-specific enhancements and on resolving escalations.\n\n- Grow FDE I and FDE II engineers into independent owners.\n\nWhat We're Looking For:\n\nExperience:\n\n- 5+ years, with significant time in a hands-on engineering or forward-deployed role.\n\n- A track record of building reusable tooling and accelerators, not only of delivering projects.\n\n- Experience leading enterprise implementations end to end.\n\nTechnical Expertise:\n\n- Strong software engineering background with hands-on coding in Python and/or TypeScript.\n\n- Experience with LLM application architecture: orchestration, retrieval-augmented generation, agents and tool calling, evaluation and guardrails.\n\n- Able to architect integrations against any customer communication stack - ticketing, CRM, marketing automation, deflection and contact centre systems.\n\n- Deep debugging ability across distributed systems, APIs and real-time voice or telephony.\n\n- Working knowledge of cloud platforms, Linux, SQL and networking fundamentals.\n\nCustomer and Leadership Skills :\n\n- Credible with engineering teams and with enterprise customers alike.\n\n- Strong stakeholder management and escalation handling.\n\n- Able to mentor engineers and raise the technical bar of a team without owning it on paper.\n\nEducation :\n\n- Bachelor's or Master's in Computer Engineering, Computer Science or an equivalent computer-related degree.\n\nGood to Have :\n\n- Experience with LLM application or multi-agent frameworks.\n\n- Contact centre platforms, SIP, VoIP or WebRTC.\n\n- Experience influencing a product roadmap from the field.\n\n- Exposure to conversational AI platforms in the market.\nSkills\nForward Deployment Engineering, Conversational AI, Chatbot, Python, TypeScript, LLM, RAG, IT Service 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