{"id":134550,"url":"https://alion.io/job/verint-senior-software-engineer-ai","title":"Senior Software Engineer, AI","company":{"id":34925,"name":"Verint","domain":"verint.com","url":"https://alion.io/company/verint","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"BERT","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-13T00:00:00Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-17T03:14:22Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at www.verint.com.\nAre you driven by innovation and looking to thrive in a fast-paced, growing environment? Join us at Calabrio-Verint and be part of our dynamic team! Help us in reshaping the landscape of customer experience - where every interaction becomes an opportunity, and every insight drives meaningful change.\nCalabrio-Verint are the trailblazers in customer experience intelligence! Revolutionizing the way organizations connect with their customers, we empower businesses to elevate every interaction to new heights. Our cutting-edge cloud platform, coupled with AI-driven analytics tools, unlocks the true essence of customer sentiment, turning data into actionable insights with lightning speed.\nCalabrio-Verint is looking for a highly skilled and experienced Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer experience supported by trusted, and resilient business solutions. As an AI Software Engineer, you will design, build, deploy, and optimize AI-powered products and platforms, with a strong focus on LLM applications, agentic AI systems, applied machine learning, backend engineering, data pipelines, evaluation, and production operations. You will turn AI capabilities into reliable business solutions that are scalable, measurable, secure, and maintainable.\nOverview of Job Function:\nThis role is ideal for someone who can move beyond experimentation and deliver production-grade AI systems, including autonomous and semi-autonomous AI agents that can reason, plan, use tools, retrieve knowledge, and take actions safely within defined business workflows. Calabrio has embarked journey and is truly committed to establishing a value fabric that transforms its customer, employee, and stakeholder experiences through seamless integrated, agile, data-driven, and secure Digital Services. Such an endeavor requires leaders passionate about customer experience and committed to consistently delivering value while focusing on digital services with inherent trust and resilience.\nWe’re looking for:\nProblem solver - devise and implement advanced NLP algorithms and LLM models to address intricate challenges in Conversation Intelligence analytics \nStrong team player - works with internal and external stakeholders to solve problems and actively incorporate input from various sources \nExcellent communication skills and collaborative working style \nAbility to think “out of the box”, strong critical thinking and analytical skills \nPrincipal Duties and Essential Responsibilities:\nDesign AI systemsBuild end-to-end AI solutions using machine learning, deep learning, NLP, and generative AI technologies. \n\nDevelop LLM-powered applicationsCreate applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows. \n\nBuild agentic AI solutionsDesign and implement AI agents that can plan, reason through multi-step tasks, interact with external tools and APIs, retrieve relevant context, and execute actions within controlled business processes. \n\nDevelop multi-agent and orchestration workflowsCreate orchestrated AI systems where multiple agents or components collaborate to solve complex tasks, with clear control flow, observability, and fallback handling. \n\nProductionize models and AI agentsDeploy, monitor, and maintain AI/ML models and agentic systems in production environments with strong reliability, performance, and safety standards. \n\nBuild data and inference pipelinesDevelop pipelines for ingestion, preprocessing, vector search, model inference, agent memory/context management. \n\nImprove quality and evaluationDefine offline and online evaluation frameworks for model quality, latency, safety, task completion, agent reliability, and business outcomes. \n\nOptimize performance and costImprove model selection, prompt efficiency, agent orchestration, latency, throughput, caching, token usage, and serving efficiency. \n\nEnsure governance and safetyApply best practices for security, privacy, responsible AI, model risk controls, guardrails, agent permissions, compliance, and human-in-the-loop review where needed. \n\nMinimum Requirements:\nBachelor’s degree in Computer Science, Engineering, or a related field required. Master’s degree preferred. \n5+ years of end-to-end experience training, evaluating, testing, deploying, and monitoring machine learning models in production. \nHands-on experience building applications with LLMs, prompt engineering, retrieval-augmented generation, structured outputs, and model evaluation. \nExperience with frameworks or platforms for LLM and agent orchestration, such as LangChain, LangGraph, Strands AI, or equivalent architectures. \nExperience designing or building AI agents that use planning, memory, tool calling, workflow orchestration, agent-to-agent and external system integration to complete multi-step tasks. \nStrong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services. \nStrong understanding of machine learning fundamentals and practical experience with NLP tasks such as text classification, NER, clustering, topic modeling, semantic search, and conversational AI. \nExperience with fine-tuning LLMs and transformer-based models such as BERT, RoBERTa, ALBERT, and a solid understanding of tokenizers, embeddings, pre-trained models, and adaptation techniques. \nExperience with SQL and NoSQL databases, vector databases or embedding stores, and data pipelines for AI applications. \nExperience with model serving, observability, evaluation, error analysis, prompt/version management, and monitoring of AI systems in production. \nFamiliarity with Linux systems and standard software engineering practices including testing, CI/CD, APIs, and version control. \nPreferred Skills:\nExperience with AWS, Azure, or GCP \nExperience with Docker and Kubernetes \nExperience with ETL and Data Engineering projects \nExperience with PostgreSQL, Snowflake, or MongoDB \nExperience with Kubeflow, or Airflow \nMIN: 143K\nMAX: 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