Emplifi, founded in 2021, is a global customer engagement platform that supports over 20,000 brands in optimizing customer experiences by providing AI-powered solutions in social m
Agentic Builder
Location
Czechia
Posted
9 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Agentic Builder
Emplifi
Role Description We're not running an AI pilot. We're not building a chatbot. We're systematically rebuilding repeatable workflows across Sales, Marketing, Finance, Customer Success, HR, Legal, and Operations on an AI-native foundation. We call this initiative AI Pioneer , and it is the defining internal transformation program at Emplifi. The Agentic Builder is at the heart of that transformation. Embedded directly within business teams, you'll rapidly turn business problems into working AI solutions by building agents, workflows, automations, and integrations that deliver measurable impact. You'll operate within a federated model: a small central AI team provides shared infrastructure, governance, and engineering standards, while you own solution discovery, delivery, and adoption within your business function. You'll partner closely with AI Engineers to scale successful solutions into production when needed. This is not a consulting role. You don't recommend and move on—you build, you ship, and you own, whether it works. What You'll Do Here - Discover & Design - Embed within business teams to map existing workflows, identify automation opportunities, and prioritise by impact and feasibility. - Translate business goals into concrete agentic workflow specifications — defining inputs, outputs, decision logic, and human-in-the-loop touchpoints. - Build & Deploy - Design and ship end-to-end AI solutions using the fastest appropriate approach — combining code-first development (Python, JavaScript), agent frameworks, APIs, and low-code/no-code platforms (n8n, Make, Zapier, or equivalent). - Build agents, automations, and workflow systems that solve specific business problems and can be rapidly tested, improved, and scaled. - Engineer prompts as production assets — versioned, evaluated, regression-tested. Not vibes. Reusable prompt chains over one-shot cleverness. - Build integrations between AI solutions and existing business systems using APIs and modern integration patterns. - Leverage AI coding assistants to accelerate development while maintaining ownership of code quality, reliability, and maintainability. - Embed & Enable - Act as the in-team AI expert for your assigned function — training colleagues, documenting workflows, and building institutional knowledge. - Collaborate closely with AI Engineers and the AI Pioneer Governance team to review, harden, and transition solutions requiring production infrastructure, security review, or advanced engineering support. - Iterate & Scale - Maintain and improve shipped workflows based on usage feedback; establish monitoring, fallback logic, and human escalation paths. - Surface reusable patterns and components across functions, and contribute to the organisation's agentic playbook. Qualifications - Evidence of building automations, agents, integrations, AI-powered workflows, or other solutions that delivered real business value. Requirements - Technical & AI Engineering Foundations - Production-grade prompt engineering: systematic, versioned, regression-tested, and eval-gated before release — not just demo-proven. - Writes and maintains Python and/or JavaScript at a production level, with strong leverage of AI coding assistants; fluent across code-first and low-code environments, and knows when each is the right call. - Deep understanding of agentic systems and workflow orchestration: autonomous agents, deterministic workflows, API calls, and human-in-the-loop decision points — knows when to use which. - Strong integration skills: API docs, OAuth, webhooks, JSON parsing, retry logic, rate limits, and connecting AI to existing business systems and data sources. - Solid grasp of LLM fundamentals — context windows, temperature, tool use, structured outputs, RAG, model cost, and latency tradeoffs — and applies them to make sound decisions on model selection, output quality, and workflow design. - Moves fast from proof of concept to production through rapid iteration, user feedback, and a clear-eyed understanding of how data structure and output formatting affect downstream reliability. - Business & Systems Thinking - Thinks in end-to-end workflows rather than isolated tasks. - Comfortable designing for failure: edge cases, fallback paths, and human escalation. - Can scope what should and shouldn't be automated. - Quickly translates ambiguous business problems into buildable technical solutions. - Understands how business functions operate and designs for real-world processes. - Communicates technical concepts clearly to non-technical stakeholders. - Governance & Security - Recognizes security, privacy, and compliance risks in AI workflows and knows when to involve central governance. - Understands core AI security concepts, including prompt injection, permissions, and secure handling of secrets. - Delivery & Ownership - Ships working solutions with a bias toward action. - Owns outcomes, measuring whether solutions deliver business value. - Builds trust through curiosity, execution, and results. - Comfortable operating as a change agent in teams that may be skeptical — wins people over through results, not persuasion. - Knows when to involve AI Engineering and how to hand off effectively. Benefits - International and fast-paced environment. - Unlimited Paid Time Off. - Sick Days & Community Service Days. - Multisport card. - Maternity and Parental Benefit. - Chance to work with the world's biggest brands at the CX tech leader. - Agile and open-minded culture, with high levels of trust and flexibility. - Opportunity for professional growth and development. - Possibility to learn new and cutting-edge technologies, in an environment that encourages new ideas. - Flexible working environment. - Internal tech talks, Udemy courses, and workshops. - Meetups & conferences. - Possibility to work from offices in Prague (Karlin), Brno (Impact Hub), Pilsen (Roudná), or remotely within the Czech Republic. - There's more as well! Speak with us to find out all the details!
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Senior Artificial Intelligence - Machine Learning Engineer
UnitedHealth GroupUnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Title: Senior Artificial Intelligence - Machine Learning Engineer Location: Eden Prairie United States Requisition number: 2359702 Job category: Technology Primary location: Eden Prairie, MN Overtime status: Exempt Travel: No Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Welcome to the Optum Health AI team. Our mission is to use advanced AI technologies to transform healthcare operations, improve patient experience, and scale high-value capabilities. This role focuses on Voice AI, a strategic Optum Health AI initiative designed to create seamless member and agent experiences, reduce manual work, and improve operational scalability. As a Senior AI/ML Engineer, you will build foundational Voice AI capabilities, including language translation, accent harmonization, and real-time transcription. These capabilities will extend across Optum Health AI pillars, including Provider Scheduling, Prior Authorization, and Summarization, while helping define enterprise standards for external AI vendor evaluation. Partnering with ECS Business, you will support estimates, solution architecture, roadmap alignment, and engineering delivery of reusable, scalable, secure, and compliant prototypes. Primary Responsibilities: - Design, build, and deploy responsible Voice AI solutions across speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal interactions - Translate advances in real-time transcription and speech processing into scalable, reusable, production-ready capabilities - Partner with ECS Business on solution architecture, cost estimates, and roadmap alignment across modern and legacy platforms - Embed ethical AI, fairness, transparency, accountability, and HIPAA-compliant security throughout the model lifecycle - Develop dynamic interactive forms and adaptive updates that improve patient-agent interactions - Define enterprise AI standards for evaluating and vetting external AI vendors - Apply enterprise-approved AI tools to automate tasks, accelerate development, and improve engineering productivity - Evaluate emerging AI/ML trends, research, and technologies to inform solution design and innovation You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree or equivalent experience; 4+ years of software engineering experience may substitute for a degree - 5+ years of software engineering or development experience building and deploying production-grade systems - 3+ years of hands-on experience building, deploying, and evaluating ML, AI, LLM, or agentic AI solutions in production environments - 3+ years of professional programming experience with Python, SQL, and ML frameworks such as Scikit-Learn, TensorFlow, or PyTorch - 2+ years of experience building cloud-based applications, backend services, APIs, or CI/CD pipelines using AWS, GCP, or Azure Preferred Qualifications: - Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related technical field - Hands-on experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or related AI/ML platforms - Experience developing full-stack capabilities using frameworks such as React or React Native and REST or WebSocket APIs - Healthcare technology experience, including EHR integration and secure, HIPAA-compliant AI application development - Broad ML domain knowledge across NLP, speech, personalization, recommendation systems, anomaly detection, or computer vision - Proven solid ownership, curiosity, adaptability, and learning agility, with the ability to navigate ambiguity and deliver impactful technical solutions Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #optumtechpj
Lead AI - ML Engineer
UnitedHealth GroupUnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Title: Lead AI/ML Engineer- Hybrid Eden Prairie, MN Location: Eden Prairie United States Job Description: Requisition number: 2359706 Job category: Technology Primary location: Eden Prairie, MN Overtime status: Exempt Travel: No Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Welcome to the Optum Health AI team! Our mission is to leverage cutting-edge AI technologies to transform healthcare operations, improve patient experience, and enhance scalability. This role focuses primarily on Voice AI-a high-visibility, key strategic initiative under Optum Health AI designed to create a seamless experience for members and agents, reduce manual work, and improve scalability. As a Lead AI/ML Engineer, you will establish foundational capabilities such as language translation, accent harmonization, and real-time transcription. These advanced capabilities will cross-pollinate across all Optum Health AI pillars (including Provider Scheduling, Prior Authorization, Summarization, and more) while setting enterprise-wide standards for external vendor evaluations. Partnering closely with ECS Business, you will lead the estimates, solution architecture, roadmap alignment, and engineering to deliver production-ready prototypes that are reusable, scalable, secure, and compliant. This position follows a hybrid schedule with four in-office days per week. Primary Responsibilities: - Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning - Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions - Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities - Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks - Embed ethical AI and HIPAA-compliant security standards across the model development lifecycle - Implement advanced engineering features such as dynamic interactive forms, adaptive updates, and conditional logic to improve patient-agent workflows - Define enterprise standards for evaluating and vetting external AI vendors - Use enterprise-approved AI tools to automate workflows, accelerate delivery, and drive continuous improvement You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field; 4+ years of software engineering experience may substitute for a degree - 10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems - 4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms - 3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture - Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions Preferred Qualifications: - Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field - Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks - Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns - Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development - Deep machine learning domain knowledge across NLP, speech, personalization, recommendation systems, computer vision, or anomaly detection - Demonstrated adaptability, ownership, learning agility, and curiosity in solving ambiguous, high-impact technical problems Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #optumtechpj

