Responsibilities
- Develop AI‑powered solutions: Design, build, and deploy agents using agentic workflows and LLM APIs to automate and enhance Packt business processes.
- Collaborate with Vertical teams: Partner with Verticals to map processes, surface bottlenecks and deliver tailored AI solutions.
- Develop cross-business perspective: Spend rotation weeks shadowing multiple verticals and roles to ensure agents solve company-wide, not siloed, problems.
- Integrate with existing systems: Connect agents to core platforms such as the CRM, CMS, e‑commerce site, and BI dashboards through robust API integrations and scripting.
- Ensure security, compliance, and responsible AI: Work with the Tech Team to uphold data privacy standards, monitor models for bias and document mitigation strategies.
- Technical problem solving: Debug agent behaviour, profile performance and deliver scalable, fault tolerant solutions alongside the Tech Team.
- Continuous improvement: Track metrics, gather feedback, and iteratively refine prompts, memory, and tool chains to maximize impact.
- Documentation and training: Create clear documentation and training material for fellow Packt employees on effective agent use
Requirements
- Education: Bachelor’s or Master’s degree in computer science, data science, engineering, or a related field.
- Technical skills: Proficiency in Python plus familiarity with AI frameworks, RESTful APIs, and automation scripting.
- Practical exposure: Relevant internship, capstone, or hackathon projects that demonstrate building AI, data or automation solutions will count as experience.
- Domain curiosity: Ability to quickly learn how different business functions operate and to propose fit for purpose AI automations.
- Problem solving and drive: Strong analytical skills, a bias for experimentation and a commitment to staying current with AI advances.
- Communication and collaboration: Understand the pain points of each role talking to people. Translate technical concepts to non-technical peers; gather requirements and run training sessions.
- Adaptability and time management: Juggle multiple mini-projects, iterate fast, and thrive amid evolving AI toolchains.
- Ethical and responsible AI mindset: Proactively consider data privacy, bias mitigation, and compliance when designing agents or liaise with the Tech Team to create the right AI solutions.
- Growth mindset: Stay current with LLM/agent advances, experiment with new frameworks, and share learnings across the organization.
- Able to work autonomously and take the initiative: Involves proactively managing tasks, solving problems independently, and driving projects forward without needing constant supervision.
- Critical thinking: Involves the ability to analyse information objectively, evaluate various solutions, and make well-informed decisions to solve problems effectively.
- Teamwork and collaboration: Ability to work effectively with others, sharing ideas, supporting colleagues, and contributing to group efforts to achieve common goals.
- Creativity and innovation: Ability to generate original ideas and develop new solutions that enhance processes, products, or services
Nice to Have
- Experience with LLM APIs (e.g., OpenAI API), chatbot prototyping, Power Automate, LangChain, or similar tools is advantageous.
Team
Structure: Cross-functional collaboration with content, product, marketing and technology stakeholders.. Reports to: Publishing Innovation Lead
Career progression opportunities
- Technical leadership path: Advance into Developer (Platforms team) or Data Analyst roles.
- Cross-functional path: Transition into product management and acquisition (relationship lead), marketing and sales enablement (growth lead) or editorial automation (content engineer), applying your AI expertise to drive innovation.
- Packt is committed to continuous professional development, helping you turn curiosity into career defining impact
Why Work at Packt
- We are a global and remote-first business with most of our team based in India and the UK.
- We recognize how important our people are and acknowledge and support the things that are important to them.
- Our culture is open and informal and based around learning.
- We love sharing ideas and we want everyone to feel that they have an input into how the business works.
- We are a fun place to work but with a focus on performance and personal development providing opportunities for personal growth and career progression.
- We try to achieve this by: Ensuring a positive working environment for all team members, supportive of flexible and remote work.
- Supporting individual development through growth opportunities and internal mobility.
- Encouraging social collaboration within teams and communities and knowledge-sharing.
- Fostering a culture that supports a healthy work-life balance
- We focus on the full employee experience.
- We seek to achieve this by: Providing a broad range of benefits and initiatives.
- Advocating a healthy lifestyle where wellbeing is seen as an essential responsibility.
- Celebrating success stories and encouraging peer-to-peer recognition.
- Fostering a culture of self-development.
- Providing a work environment where the best idea wins, and challenges are encouraged
Success Metrics
Success will be measured by time saved, accuracy gains and user satisfaction scores achieved by your automations.
