{"id":2214490,"url":"https://alion.io/job/confidential-principal-engineer-2","title":"Principal Engineer","company":{"id":3813135,"name":"Confidential","domain":"prabeer.com","url":"https://alion.io/company/confidential-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":10000000,"max":25000000,"currency":"INR","period":"year","gross":true,"usd_annual":259550},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Voice Agents","optional":false}],"status":"live","first_seen_at":"2026-10-10T05:36:49Z","employer_posted_date":null,"last_verified_at":"2026-10-10T05:36:49Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Role Overview:\n\nWe are seeking a visionary Principal Engineer to lead the architecture and development of our next-generation Voice-Agent Platform. \n\nIn this role, you will spearhead the design of high-performance, real-time conversational AI systems that bridge the gap between complex LLM reasoning and sub-millisecond voice interaction. \n\nYou will collaborate closely with cross-functional teams of researchers, backend engineers, and product stakeholders to translate cutting-edge machine learning breakthroughs into scalable production infrastructure. \n\nBy optimizing the entire voice-to-voice pipeline, you will directly influence the quality of customer interactions, setting new industry benchmarks for latency, fluency, and natural intelligence in automated communication.\n\nKey Responsibilities :\n\n- Architect and scale distributed systems that handle high-concurrency voice streams to ensure seamless, real-time user experiences across global markets.\n\n- Drive the integration of Large Language Models and RAG frameworks into our voice pipeline to improve the contextual accuracy and responsiveness of our agents.\n\n- Optimize deep learning inference pipelines using CUDA and PyTorch to minimize end-to-end latency, ensuring our voice agents feel instantaneous to the end user.\n\n- Mentor senior engineering talent and foster a culture of technical excellence, ensuring our codebase remains robust, maintainable, and ahead of the technological curve.\n\n- Collaborate with product leadership to define the technical roadmap, balancing rapid feature iteration with the long-term stability of our core voice infrastructure.\n\nRequired Skillset :\n\n- Demonstrated expertise in building and scaling distributed systems, with a proven ability to solve complex concurrency and synchronization challenges in production environments.\n\n- Deep technical proficiency in Machine Learning and Voice Technology, specifically in deploying LLMs and RAG-based architectures for real-time applications.\n\n- Advanced capability in performance tuning and latency optimization, utilizing CUDA and PyTorch to extract maximum efficiency from GPU-accelerated workloads.\n\n- Strong communication and interpersonal skills, with the ability to articulate complex technical trade-offs to non-technical stakeholders and influence senior leadership.\n\n- A track record of technical leadership, having guided high-performing teams through the full software development lifecycle in fast-paced, product-focused environments.\n\n- Ability to thrive in a hybrid work model based out of our Bangalore or Noida offices, maintaining high levels of collaboration and productivity across distributed teams.\n\n- Educational background in Computer Science, Electrical Engineering, or a related quantitative field, typically supported by 8 - 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