Senior Software Engineer, AI

Are 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.

Calabrio-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.

Calabrio-Verint is looking fora highly skilled and experienced

Senior Software Engineer,AIto 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, andoptimizeAI-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.

This 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-Verint hasembarkedjourney and istruly committedtoestablishinga 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.

• Design AI systems

  • Build end-to-end AI solutions using machine learning, deep learning, NLP, and generative AI technologies.

• Develop LLM-powered applications

  • Create applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows.

• Build agentic AI solutions

  • Design 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.

• Develop multi-agent and orchestration workflows

  • Create orchestrated AI systems where multiple agents or components collaborate to solve complex tasks, with clear control flow, observability, and fallback handling.

• Productionize models and AI agents

  • Deploy,monitor, andmaintainAI/ML models and agentic systems in production environments with strong reliability, performance, and safety standards.

• Build data and inference pipelines

  • Develop pipelines for ingestion, preprocessing, vector search, model inference, agent memory/context management.

• Improve quality and evaluation

  • Define offline and online evaluation frameworks for model quality, latency, safety, task completion, agent reliability, and business outcomes.

• Optimize performance and cost

  • Improve model selection, prompt efficiency, agent orchestration, latency, throughput, caching, token usage, and serving efficiency.

• Ensure governance and safety

  • Apply best practices for security, privacy, responsible AI, model risk controls, guardrails, agent permissions, compliance, and human-in-the-loop review where needed.

• Problem solver - devise and implement advanced NLP algorithms andLLMmodels to address…