• Implement AI-powered product features and workflows based on specifications from senior engineers. • Write, iterate on, and manage production prompt templates, following established patterns for dynamic prompting and context injection. • Integrate structured output schemas (JSON mode, function calling, Zod/JSON schemas) to ensure AI responses are predictable and application-ready. • Build and maintain output enforcement mechanisms such as validators and repair loops under senior guidance. • Participate in prompt experimentation workflows — drafting variants, running A/B tests across models via OpenRouter, and documenting results. • Contribute to evaluation pipelines and help score prompt/model quality using Langfuse. • Write clean, maintainable TypeScript code within the Next.js / Node.js stack. • Participate in code reviews and incorporate feedback. • Document technical decisions and system behaviour to support knowledge sharing. • Collaborate with product, growth, data, and billing teams to deliver features on time.

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. . The annual pay range for this position is $94,099.00- $147,600.00/year Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence. How You Will Contribute: Duties:                         Responsible for developing integrations between various Ciena's enterprise applications by leveraging Mulesoft and Oracle SOA platforms. Stay up to date with newest technologies, have ownership, be self-motivated and be proactive. Responsible for development of integrations using Mulesoft and Oracle SOA Suite. Collaboratively work with integration team members to develop reusable services around error handling, logging, and monitoring. Manage relationships through effective communication with key collaborators, service, delivery, and business teams. Work closely with vendors to understand product roadmaps and costs. Keep abreast with industry activity and standards from the enterprise integration perspective. Stay agile and respond to constantly evolving priorities. Maintain peer relationships across IT areas (business applications, infrastructure, operations, network, security, etc.) to support effective implementations. Take ownership and ensure production move up process is done in a repeatable, coordinated, and flawless manner. Responsible for staying on top of rapid technical changes within the field. May telecommute from anywhere in the United States. The Must Haves: Requirements: Must have a Master’s’s degree in Computer Science, Information Technology or a related field and 0 months of experience in Employer will accept a Master’s degree or foreign equivalent in Computer Science, Information Technology or a related field and completion of a university level course, research project, internship, or thesis or one year of experience in the job offered, including experience in: • Java, Python, R or other functional programming languages; • Preparing technical documentation including training, process flows, system structure, or network deployment architecture; • Mulesoft, OIC, or Boomi; and • Current and emerging Integration technologies.. Contact:  Human Resources, Ciena Corporation. . Must reference job A710.320.11. #LI-DNI Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

• Architect, develop, and maintain AI-powered applications in Python, including conversational assistants, agentic tools, and retrieval-augmented generation (RAG) systems. • Design and optimize retrieval pipelines: embedding generation, vector search, hybrid search, and reranking against large domain-specific corpora. • Build document ingestion and parsing pipelines that extract structured content (text, tables, figures, citations) from scientific and technical documents for downstream use by AI systems. • Integrate structured knowledge — ontologies, controlled vocabularies, and knowledge graphs — with unstructured text to produce evidence-grounded, provenance-aware AI outputs. • Develop and operate shared platform services that accelerate delivery of new AI applications: model gateways, agent-tool integrations, authentication, API key management, and observability. • Lead technical design decisions and establish best practices for code quality, testing, evaluation, and deployment of AI systems. • Provision, deploy, monitor, and troubleshoot services on Kubernetes and cloud infrastructure, including container builds, manifests, and CI/CD pipelines. • Design and maintain relational and vector databases, including schema design, indexing, migrations, and incremental data updates. • Define and track quality metrics for AI systems (retrieval quality, answer faithfulness, latency, cost) and drive measurable improvements over time. • Engage directly with non-technical clients to gather requirements, clarify goals, manage expectations, and validate that delivered solutions align with their objectives. • Translate high-level client and mission needs into actionable technical specifications and development plans. • Mentor junior engineers and contribute to a culture of technical excellence. • Participate in and help facilitate standups, sprint planning, and cross-team review meetings across multiple project streams.

Location: Remote Sri Lanka Type: Full-Time At HeyMilo, were redefining how companies recruit using Agentic AI to automate interviews, evaluate candidates, and scale intelligent hiring experiences. Were looking for a Senior AI Engineer who is passionate about building next-generation AI systems that create real, measurable impact. If you love experimenting with LLMs, architecting AI pipelines, and pushing the boundaries of whats possible, youll feel right at home here. What Youll Do - Produce clean, scalable, and maintainable Python code that powers our AI-driven platform with the support of modern AI development tools. - Design, implement, and maintain enterprise-grade APIs using FastAPI. - Rapidly prototype and iterate to turn ideas into product-ready features. - Experiment with the latest LLMs and apply strong prompt-engineering techniques to reduce hallucinations and improve reliability. - Implement RAG, contextual search, and advanced AI workflow pipelines. - Fine-tune, deploy, and optimize deep learning models for NLP and computer vision tasks. - Research emerging technologies, frameworks, and techniques and integrate them into production systems. - Build observability tools and AI-content auditing systems to ensure transparency, reliability, and safe interactions with AI. Who You Are - Proven industry experience in AI/ML engineering or similar roles, with at least 2 years of hands-on work in the AI/ML domain - Strong proficiency in Python and hands-on experience with FastAPI. - Deep understanding of LLMs, prompt engineering, and modern AI infrastructure. - Demonstrated experience with Agentic AI frameworks, data pipelines, and asynchronous systems. - Highly curious, adaptable, and quick to learn emerging AI technologies. - Solid CS fundamentals and a problem-solving mindset that thrives in fast-paced startup environments. - proficiency and understanding in Kubernetes.