This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is 100% remote anywhere in the US. Precisely’s Summer Internship Program is a paid, part-time opportunity for undergraduate students actively enrolled in university. This is a 10-week program that begins Monday June 8, 2026 and ends Friday August 14, 2026. The AI Engineering Intern will work closely with the Chief Information Officer team. The Intern, AI Engineering will support the development of AI‑powered solutions embedded in real internal business workflows. This internship focuses on applying large language models (LLMs) and automation to improve productivity, decision‑making, and employee experience. Key deliverables include: - Working prototypes - Documented prompts or agents - Measurable improvements from pilot use cases What you will do: - Build and test AI‑powered prototypes using LLMs and APIs - Design, refine, and evaluate prompts for enterprise use cases - Support development of lightweight agents, bots, or automations - Integrate AI solutions into internal tools and workflows - Document solutions and technical decisions - Measure and report productivity or quality improvements - Collaborate with engineers, architects, and business teams Qualifications - College/University enrollment in a Computer Science, Engineering or related program - Experience with Python or JavaScript - Familiarity with APIs, AI tools, or LLM concepts - Strong problem‑solving and communication skills - Ability to learn quickly in an enterprise environment Benefits - Valuable experience related to the degree you are pursuing - Hands-on experience at an established tech company - Networking opportunities with company leaders around the globe

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're expanding our Prompt Engineering team and are looking for a Conversational Designer to join us! Qualifications - Background in business process analysis and automation — ideally in fintech, telecom, or retail; - Experience working with data in AI/ML projects with at least 2–3 years; - Extensive hands-on experience prompting LLMs (ideally several different models) for business use cases; - Experience designing conversational flows for AI agents or chatbots using specialized platforms — ideally RASA; - Strong analytical skills: ability to break down complex systems, identify key elements, and communicate them clearly and concisely; - Python scripting skills are a plus. Requirements - Analyze how business processes work on the client side: study internal instructions for employees, as well as real conversation recordings and transcripts; - Based on this analysis, design scripts and prompts for AI agents to automate these processes; - Create training and test data sets; - Develop and apply methodologies to assess the quality of the AI agents’ performance and use them to refine the agents. Benefits - Experienced team, Aiphoria is formed by a team of enthusiastic professionals who created award-winning devices, voice assistants and other AI-driven products for BigTech corporations; - Cutting-edge technologies, we build a technology using our areas of expertise including Computer Vision, Speech Technologies, Natural Language Understanding, Generative AI incl. LLM and Diffusion models; - Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies; - Remote work opportunities from Europe / US; - Company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary own products; - Competitive compensation surpassing market standards; - A company with entrepreneurial spirit. We offer a unique mix of a secure workspace thanks to the big clients raised along with a true start-up culture!

• A LangGraph powered conversational nutrition assistant • Multi step reasoning workflows that combine user profile data, behavioural data and contextual signals • Tool enabled agents that query internal APIs and databases for personalised recommendations • Stateful conversations with memory, structured outputs and guardrails • Retrieval augmented generation pipelines for domain specific nutrition knowledge • Evaluation and monitoring frameworks for AI performance and safety • Architect and implement LangGraph based agent systems in production • Design graph based workflows with conditional logic, tool calling and memory management • Integrate LLM providers such as OpenAI, Anthropic or others into structured agent pipelines • Build middleware in Node.js and Express to support AI orchestration • Implement retrieval pipelines using embeddings and vector databases • Design user specific recommendation logic powered by behavioural and nutritional data • Build observability, logging and evaluation frameworks for LLM outputs • Improve reliability, latency and cost efficiency of AI systems • Collaborate cross functionally to translate product requirements into AI architecture • Contribute to future AI initiatives including advanced recommendation engines and intelligent coaching features

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers a unique opportunity to lead the design, development, and operationalization of enterprise-grade AI systems that directly impact executive decision-making. The Lead AI Engineer will architect and implement production-ready AI workflows, including multi-agent orchestration, retrieval-augmented generation, and cross-system automation. You will work closely with senior leadership to translate complex strategic questions into scalable, reliable AI solutions while ensuring responsible and compliant deployment. This position demands a highly skilled engineer who thrives in a remote-first, fast-paced environment, balancing technical depth with pragmatic execution. The ideal candidate is deeply analytical, collaborative, and capable of shaping AI adoption across an organization while maintaining high standards for accuracy, security, and observability. You will contribute to the company’s AI maturity by defining best practices, documenting architectural patterns, and driving measurable impact at the enterprise level. - Lead the design, implementation, and operationalization of production-grade AI systems and multi-step agentic workflows. - Serve as the primary AI engineering partner to executive leadership, translating strategic ideas into scalable AI solutions. - Develop and deploy AI workflows that integrate retrieval-augmented generation, tool use, memory strategies, and cross-system automation. - Ensure responsible AI deployment through monitoring, evaluation frameworks, and governance aligned with security and compliance requirements. - Partner with cross-functional teams to operationalize AI solutions, incorporating feedback, refining workflows, and driving adoption. - Evaluate and rationalize AI tools and platforms to maintain long-term sustainability, security alignment, and enterprise-wide consistency. - Document architectural patterns, share best practices, and contribute to organizational AI maturity. Qualifications - 7–10+ years of professional software engineering experience designing, building, and operating complex production systems in cloud environments or equivalent practical experience. - Proven experience building and deploying AI-powered systems in production, including agent-based or multi-step workflows (RAG, orchestration, tool-calling, memory strategies, evaluation, and failure handling). - Strong proficiency in modern programming languages such as Python and TypeScript, with a focus on clean, maintainable, production-quality code. - Deep engineering discipline across clean architecture, distributed systems, APIs, CI/CD, testing strategies, and production observability. - Experience partnering directly with senior or executive stakeholders to translate ambiguous concepts into technically sound, high-impact solutions. - Familiarity with AI governance, data classification, access control models, prompt injection risks, and enterprise compliance standards. - Exceptional problem-solving, analytical, and communication skills, with the ability to thrive in high-visibility, remote-first environments. Benefits - Competitive base salary, geographically adjusted: $204,500–$290,000 USD. - Participation in company-wide bonus program tied to performance metrics. - Equity ownership through restricted stock units (RSUs). - Comprehensive health coverage including medical, dental, and vision for employees and dependents. - Generous paid parental leave, flexible vacation, sabbaticals, and paid holidays. - Mental health and wellness resources, including therapy and coaching support. - 401(k) plan with employer match in the U.S. and global retirement savings support. - Monthly stipends for work and wellness expenses. - Remote-first, inclusive, and flexible work environment fostering collaboration and innovation. Company Description