
Cloaked उपभोक्ता गोपनीयता और सुरक्षा कंपनी है, जो लोगों को पहचान की चोरी, डेटा ब्रोकरों, स्पैम और ऑनलाइन निगरानी के जोखिम को कम करने में मदद करने वाले उपकरण बनाती है। इसका SaaS प्लेटफ़ॉर्म 1,000 से अधिक लोगों की खोज करने वाली और ब्रोकर साइटों पर व्यक्तिगत डेटा हटाने की सुविधा को छिपे हुए फ़ोन नंबरों और ईमेल इनबॉक्स के साथ जोड़ता है। इसमें Call Guard के ज़रिए स्पैम कॉल से सुरक्षा, डार्क वेब और SSN निगरानी, VPN, पासवर्ड प्रबंधन और Cloaked Pay beta के माध्यम से छिपे हुए वर्चुअल कार्ड शामिल हैं। कंपनी 24/7 सहायता के साथ पहचान की चोरी का बीमा, निःशुल्क सुरक्षा स्कैन, परिवार और एंटरप्राइज़ विकल्प, लगातार अलर्ट, ऑप्ट-आउट मार्गदर्शन तथा गोपनीयता-केंद्रित शोध और संसाधन भी प्रदान करती है।
Senior Voice AI Software Engineer at Cloaked (Hybrid, New York City)
Build Cloaked’s real-time voice AI call-screening systems. Design voice agents, improve conversational latency, and protect users from scams and voice-cloning attacks.
$2,00,000 – $2,30,000 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीफुल-स्टैक इंजीनियरसॉफ्टवेयर इंजीनियरविवरण
- Create and launch production voice agents that communicate with unknown callers, determine intent, and autonomously stop scams
- Lead core areas of Call Guard’s real-time voice AI platform while helping shape its architecture and technical direction
- Improve conversational responsiveness across speech recognition, agent reasoning, and speech synthesis
- Develop protections against malicious AI callers, including voice-cloning threats
- Assess and bring frontier large language models, speech models, and agent frameworks into production
- Develop and operate the telephony, VoIP routing, and cloud infrastructure supporting the voice agent
- Work with product, design, and mobile partners to deliver seamless voice interactions
- Improve engineering quality through reviews, design forums, and knowledge sharing
- Use AI development tools every day to accelerate delivery
आवश्यकताएँ
- At least five years of experience building production software, preferably for real-time or distributed systems
- Practical experience delivering voice or conversational AI products in production
- Proficiency with modern voice AI technologies, including STT such as Whisper or Deepgram, TTS such as ElevenLabs or Cartesia, and real-time orchestration tools such as LiveKit or Pipecat
- Production experience using LLMs and agent frameworks such as LangChain, LangGraph, LlamaIndex, or comparable tools
- Experience reducing latency in real-time systems
- Strong Python and/or Go skills, including scalable, secure backend systems and APIs
- Solid cloud infrastructure experience with AWS or GCP and containerized deployments
- Experience delivering consumer products at scale
- Regular use of AI coding tools such as Cursor, Claude, or Codex, with sound judgment about their application
- Telephony, VoIP, SIP, or carrier-level call-routing experience is beneficial
- WebRTC or real-time media infrastructure experience is beneficial
- Background in speech recognition, signal processing, or audio engineering is beneficial
- Familiarity with adversarial ML, AI safety, or anti-fraud systems is beneficial
- Experience working with personally identifiable information and other sensitive data is beneficial
- Previous work on consumer privacy or security products is beneficial
- Strong interest in security, privacy, and internet ethics
- Curiosity about emerging voice AI and applied machine learning
- Strong analytical and problem-solving abilities
- Experience in a startup or growth-stage company
- Ability to work in or relocate to New York City, with in-person collaboration expected
लाभ
- Equity
- Bonus
- Medical, dental, and vision insurance, with most employee premiums covered by Cloaked
- Basic life insurance paid by the company
- 401(k) plan with company matching
- Flexible work options, including the ability to work remotely when needed
- Home office stipend
- New company laptop and other technology based on role requirements
- Competitive paid time off, floating holidays, and sick days
- Paid parental leave for birth, adoption, or foster placement
- Monthly wellness and meal stipend
- Lunch and coffee during the workday
- Unlimited professional development funding
- Opportunities to attend conferences and industry events
- Team outings and social activities
- Modern kitchens stocked with drinks and snacks