Job Closed
This listing is no longer active.
To enable broadband service providers of all sizes to simplify, innovate and grow.
Staff Software Engineer, AI/ML
Location
California
Posted
64 days ago
Salary
$136K - $265.7K / year
Seniority
Lead
Job Description
Staff Software Engineer, AI/ML
Calix
• Design & Build AI Agents: Develop and deploy agents capable of perception, reasoning, and autonomous action. • Integration: Integrate agents with existing external systems using REST APIs, microservices, and cloud platforms. • Optimization: Implement best practices for performance, scalability, and security in multi-agent environments. • Collaboration: Work with product managers and data scientists to align agent capabilities with business needs. • Innovation: Explore emerging technologies in Generative AI, LLM orchestration, and multi-agent frameworks.
Job Requirements
- 10+ years in software development with exposure to AI/ML projects.
- Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
- Hands-on experience in developing AI agents using frameworks like Google ADK, LangChain, CrewAI, AutoGen, or similar.
- Strong programming skills in Go, Rust, or Python (experience with PL/SQL or Java is a plus).
- Familiarity with LLM integration, prompt engineering, and orchestration of multi-agent workflows.
- Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).
- Understanding of Generative AI, NLP, and reinforcement learning concepts.
- Preferred: Experience building custom AI agents for enterprise workflows (e.g., service request triage, summarization, proactive support).
- Working with agent lifecycle management and AI profiles for model selection and orchestration.
- Exposure to multi-agent collaboration and autonomous decision-making systems.
Benefits
- Competitive Benefits and Vacation package
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
• Take technical ownership of an engineering squad and shape its technical direction • Lead the design and delivery of high-performance, scalable software systems • Collaborate with product managers, data scientists, and operations teams • Mentor engineers through structured feedback, code reviews, and technical guidance • Ensure engineering outputs meet security, compliance, and information protection standards • Monitor and troubleshoot production systems to maintain reliability and performance • Promote best practices and contribute to continuous improvement in engineering processes
Senior Software Engineer – Test
Cloud Software GroupEnabling customers to evolve, compete & succeed in data, automation, insight, and collaboration.
• Understand software quality best practices, test strategy and planning, test case development, test case deployment and execution, test data, defect tracking, and test automation • Identify product defects, debug issues and report them in to defect tracking system • Experience working with Agile methodologies • Work with product management and development teams to understand requirements and features, and to translate them into functional unit and pipeline QA tests • Work independently with minimum supervision • Debug test failures and help identify the root cause of failures • Develop and maintain automation Test Suites, Test Plans and Test Specifications • Create and run manual tests for scenarios that are too complex to automate • Review, update and ensure user acceptance for product documentation • Work with remote teams, communicate status, schedule effectively and clearly • Escalate issues in time and able to follow up for their status
At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Full-Stack Developer to join our UniQue team. What will you be doing in this role? - Design, develop, and maintain full-stack web applications, including front-end architecture, user interactions, and back-end services. - Implement core business logic and build scalable, secure, and responsive applications. - Develop and manage APIs, databases, and server-side components to support application functionality. - Design and maintain data models and data processing pipelines, including analysis and optimization. - Contribute to system architecture and participate in the design of scalable and high-performance solutions. - Write clean, efficient, and well-structured code, ensuring code integrity, maintainability, and organization. - Perform testing, debugging, and troubleshooting, with a focus on automation and continuous improvement. - Collaborate with business analysts, stakeholders, and technical teams to meet both business and technical requirements. - Produce technical documentation and deliver presentations to both technical and non-technical audiences. - Support integration with external systems and coordinate with infrastructure or hosting teams as needed. - Lead or contribute to projects, providing technical guidance when required.
Senior Staff Engineer, CRM Salesforce – Service Cloud
NagarroNagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.
• Writing and reviewing great quality code • Develop and customize Salesforce solutions with a strong focus on Service Cloud • Design, build, and maintain applications using Apex, Lightning Web Components (LWC), and SOQL • Implement and manage Einstein Bots and conversational interfaces for customer engagement • Design and optimize conversational flows and bot frameworks • Integrate Salesforce with external systems using REST/SOAP APIs • Work on Einstein Analytics and Einstein Discovery to deliver insights and intelligent features • Support and enhance contact center solutions and unified messaging capabilities (if applicable) • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions • Participate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectives • Ensure code quality, perform testing, and maintain documentation • Maintain solution documentation, technical designs, and deployment guides.




