{"id":1227122,"url":"https://alion.io/job/exotel-forward-deployed-engineer-ii","title":"Forward Deployed Engineer II","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":18000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JavaScript","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":"Speech Recognition","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-09-25T11:51:32Z","employer_posted_date":null,"last_verified_at":"2026-09-25T11:51:32Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"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 own a voicebot end to end - from scope handover to go-live - including its estimate, its schedule and the customer conversation that goes with it.\n\nThis is a hands-on engineering role embedded in customer delivery, not a coordination role.\n\nWhat You'll Do :\n\nCustomer Engagement and Solution Delivery :\n\n- Own the build of a complete voicebot, including the estimate and the delivery schedule.\n\n- Run requirement and design sessions with customers and translate what you hear into a workable solution.\n\n- Present pilot results, handle technical objections and drive user acceptance testing through to go-live.\n\nConversation and LLM Engineering :\n\n- Design the prompt architecture for a bot: persona, guardrails, escalation paths, language switching and failure behaviour.\n\n- Work with retrieval over customer knowledge bases and tune for accuracy and latency.\n\n- Improve bot quality through prompt optimisation and evaluation against defined test sets.\n\nIntegrations and Engineering :\n\n- Build non-standard integrations independently across whatever the customer runs - ticketing, CRM, marketing automation, deflection and contact centre systems - using REST APIs, webhooks and token-based authentication.\n\n- Debug across telephony, speech recognition and synthesis, and the customer's own stack.\n\n- Build reusable components rather than repeating the same work across customers.\n\nProduct Input :\n\n- Propose product improvements with a case attached - how many customers are affected and what it unblocks.\n\nWhat We're Looking For :\n\nExperience :\n\n- 2.5 to 5 years in a delivery, solutions or forward-deployed engineering role.\n\n- Demonstrated ownership of a customer-facing technical project from start to finish.\n\nTechnical Expertise :\n\n- Hands-on coding in Python and/or JavaScript or TypeScript.\n\n- Practical experience building on LLMs : prompt engineering, retrieval-augmented generation, evaluation or guardrails.\n\n- Hands-on with REST APIs, webhooks and API authentication, and comfortable integrating with any customer communication stack - ticketing, CRM, marketing automation, deflection and similar systems.\n\n- Working understanding of voice technologies - IVR, SIP or VoIP, speech recognition and speech synthesis.\n\nCustomer and Communication Skills :\n\n- Confident presenting to customers and defending a technical design.\n\n- Able to hold scope in a customer conversation and escalate commercial questions rather than absorb them.\n\n- Clear written communication and disciplined follow-through.\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 agent frameworks.\n\n- Contact centre or customer engagement platforms.\n\n- Cloud platform experience across AWS, GCP or Azure.\n\n- Speech recognition or synthesis tuning.\nSkills\nBot Integration, Solution Design, LLM, Conversational AI, Python, Prompt Engineering, RAG, VoIP, Speech Recognition","description_format":"text","description_chars":3374,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Contact Center Software"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.886,"p_room":1,"age_days":5,"expected_fill_days":35,"reasons":["seen:5","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/exotel-forward-deployed-engineer-ii","json_url":"https://alion.io/job/exotel-forward-deployed-engineer-ii.json","meta":{"generated_at":"2026-10-02T01:42:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2172,"day_limit":5000,"remaining_today":2828,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}