{"id":4061154,"url":"https://alion.io/job/avaya-senior-full-stack-engineer-ai-first-digital-voice","title":"Senior Full-Stack Engineer, AI-First Digital & Voice","company":{"id":1768372,"name":"Avaya","domain":"avaya.com","url":"https://alion.io/company/avaya-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Function Calling","optional":true},{"name":"Go","optional":true},{"name":"NATS","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-11-11T08:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-11T08:35:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Build AI-enabled digital and voice experiences for Avaya Infinity. We are looking for a hands-on engineer who can turn product goals into system designs and carry them through implementation, testing, deployment, and production operation. You will lead technical decisions and work across user interfaces, APIs, backend services, messaging, and data. You should be comfortable explaining architectural tradeoffs, writing critical code, and diagnosing production issues.\n\nAgentic AI development is central to how we work. We value engineers who use AI to accelerate delivery and deepen their understanding, while taking responsibility for the systems they build.\n\nKey Responsibilities:\nLead from architecture to implementation: Translate product needs into clear designs, define interfaces and data flows, and personally implement critical functionality.\nDeliver across the stack: Build responsive user experiences and reliable services with appropriate performance, security, resilience, and observability.\nWork effectively with AI agents: Break problems into clear tasks, provide context and constraints, and guide agents through implementation and verification.\nLearn and grow with AI: Explore unfamiliar technologies and codebases, developing the understanding needed to explain, maintain, and troubleshoot the resulting work.\nOwn engineering quality: Review generated code, challenge assumptions, test failure scenarios, and validate behavior through tests, measurements, and production evidence.\nBuild AI-enabled capabilities: Connect models with application context, tools, and workflows, addressing evaluation, permissions, failures, latency, and cost.\nEvolve existing systems: Modernize services incrementally, preserving customer behavior and validating changes through controlled rollouts.\nProvide hands-on technical leadership: Guide design decisions, review code, mentor peers, and collaborate with product and engineering teams.\n\nOwnership and Delivery:\nTake responsibility for outcomes from problem definition through production adoption and ongoing operation.\nShow initiative: identify gaps, propose practical solutions, and move work forward without waiting for detailed instructions.\nDrive work to completion. Break ambiguous goals into achievable steps, surface blockers early, and follow through on commitments.\nBalance delivery speed with quality, make tradeoffs explicit, and validate that the result solves the intended problem.\nStay accountable after release: investigate failures, learn from feedback, and improve the systems you build.\nWork collaboratively, share knowledge, and help others deliver.\n\nRequired Experience and Capabilities:\nTypically 5-8 years of relevant software engineering experience, with demonstrated ownership of production capabilities. Scope and depth matter more than an exact year count.\nStrong backend engineering skills in at least one relevant language and practical experience delivering full-stack applications with a modern frontend framework.\nAbility to reason about distributed systems, concurrency, APIs, asynchronous messaging, data storage, and failure handling.\nExperience with automated testing, deployment, observability, and production troubleshooting.\nPractical use of AI coding agents for substantial engineering work, with the ability to explain decisions, identify mistakes, and verify results.\nDemonstrated ability to learn unfamiliar technologies and apply them effectively.\nClear communication and the ability to move between system design and implementation details.\nDegree in Computer Science or a related field, or equivalent practical experience.\n\nPreferred Experience:\nProduction development in Rust or Go.\nEvent-driven systems and messaging platforms such as Kafka, NATS, RabbitMQ, or comparable technologies.\nModernizing or migrating existing services.\nContact center, telecommunications, or other real-time applications.\nProduction AI integrations involving tool use, retrieval, orchestration, or evaluations.\nSkills\nBackend, Frontend, Full-Stack, Fullstack, Go, Kafka, NATS, RabbitMQ, Rust","description_format":"text","description_chars":4071,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Biotechnology","Professional Services","Unified Communications","Call Center Services"],"lifecycle":[{"event":"open","at":"2026-11-11T08:35:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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