{"id":3445985,"url":"https://alion.io/job/blue-machines-ai-lead-engineer","title":"Lead Engineer","company":{"id":2943,"name":"Blue Machines AI","domain":"bluemachines.ai","url":"https://alion.io/company/blue-machines-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LiveKit","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Sentry","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Twilio","optional":false},{"name":"WebRTC","optional":false},{"name":"Wireshark","optional":false}],"status":"live","first_seen_at":"2026-10-29T08:15:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T06:16:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Blue Machines\nBlue Machines builds Voice AI and Agentic Automation systems that change how enterprises around the world interact with AI. Our platform runs live voice conversations at global scale, combining real-time telephony, in-house AI models and multi-agent orchestration. We're a world-class team building real-time systems that push the limits of latency and reliability.\nRole Overview\nWe're looking for a Lead Engineer to own the real-time voice and telephony platform that powers live AI conversations at Blue Machines. You'll set the technical direction for everything from the carrier and SIP trunk to the AI agent: signalling, media, streaming ASR/TTS and the latency budget across all of them.\nThis is a hands-on leadership role. You'll spend most of your time (around 50-70%) designing and building, while leading and mentoring a team of 3-6 engineers.\nResponsibilities\nOwn the end-to-end architecture of the voice and telephony stack, covering SIP signalling, media servers, WebRTC and call routing from the carrier to the AI agent.\nDesign and run real-time media pipelines (FreeSWITCH, Asterisk, Kamailio or LiveKit) that stream audio to ASR, LLM and TTS within tight end-to-end latency budgets.\nLead carrier and telephony-provider integrations: SIP trunks, DIDs, number provisioning and multi-provider failover.\nDrive call quality and reliability across codecs, jitter, packet loss, echo and barge-in. Define and own SLOs for latency, uptime and call success rate.\nScale the platform for high call concurrency through capacity planning, autoscaling of media workloads on Kubernetes and cost per call minute.\nSet the engineering bar for the team: lead system design, review code and designs, make build-vs-buy calls and manage tech debt.\nLead and mentor a team of 3-6 engineers. Plan and break down work, grow engineers through feedback and take part in hiring.\nOwn production health for live call traffic, including observability (Datadog, Sentry), on-call, incident response and postmortems.\nPartner with product and AI teams on the platform's multi-agent orchestration and automation layer.\nWork closely with the ML team to integrate in-house models, drive benchmarking and evaluation, and help build the next generation of in-house AI models.\nRequirements\nMust-Have Skills\n7-10 years of backend development experience in Python or Java, including time spent building high-scale, low-latency real-time systems.\nProven experience as a tech lead: guiding a team through design and delivery, mentoring engineers and staying hands-on in the codebase while leading a team of 3-6 engineers.\nDeep, hands-on expertise in SIP, RTP/SRTP, SDP and WebRTC.\nHas built or operated media and signalling stacks such as FreeSWITCH, Asterisk, Kamailio/OpenSIPS or LiveKit in production.\nExperience with carrier integrations and SIP trunking, plus CPaaS providers such as Twilio, Exotel or Plivo.\nStrong grasp of audio codecs and NAT traversal, and debugging call quality using tools such as Wireshark or sngrep.\nExperience shipping Voice AI in production: streaming ASR/TTS, real-time inference and end-to-end latency tuning.\nExperience integrating LLMs, vector DBs or AI agent frameworks into production systems.\nStrong command of system design, concurrency and distributed systems, with a track record of owning architecture decisions.\nExperience with cloud infrastructure, databases, and message queues, plus containerized deployments with Kubernetes and Docker.\nEligible to work in India.\nGood to Have\nPrior work leading AI-driven or telephony-driven platforms at scale.\nExperience building contact-centre, IVR or outbound dialer systems.\nExperience collaborating with ML/research teams on model benchmarking, evaluation or observability.\nContributions to 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