Broadcast Engineer providing first and second tier technical support for live shows and offline productions. Troubleshooting broadcast equipment and ensuring quality operation.
About the role
- Agentic Engineer at ZEFR utilizing AI for operational efficiency. Collaborate across teams to design and implement AI solutions and data integrations for growth.
Responsibilities
- Design and build full-stack AI solutions (front-end, back-end, and integrations) to support GTM and internal teams.
- Develop agentic AI systems that automate complex workflows (e.g., pipeline forecasting, knowledge retrieval, reporting, customer engagement).
- Engineer data pipelines and integrations with enterprise SaaS platforms (Salesforce, Snowflake, Looker, Jira, Slack, etc.).
- Leverage GCP or AWS cloud infrastructure to deploy scalable, secure, and cost-efficient solutions.
- Partner with GTM stakeholders to identify and prioritize high-value problems, then rapidly prototype and iterate on solutions.
- Apply data engineering best practices to ensure high-quality, accessible, and actionable data across business functions.
- Collaborate cross-functionally with product, data science, and operations to evangelize internal AI adoption and best practices.
- Thrive in a scrappy, startup-style environment: experiment, learn fast, and deliver impact without waiting for perfect conditions.
Requirements
- 4+ years’ full-stack engineering experience (with Python, Java, Go, or similar)
- Hands-on cloud experience (AWS or GCP) with services for compute, data, and AI/ML
- Proven skills in data engineering (ETL pipelines, APIs, SQL/NoSQL, data warehouses like BigQuery/Redshift)
- Experience with AI agents, LLMs and orchestration frameworks (LangChain, AutoGen, LlamaIndex, etc.)
- Demonstrated ability to ship production-ready internal tools or SaaS integrations
- Strong problem-solver who can translate messy business requirements into clean technical solutions
- Excellent collaboration and communication skills with technical and non-technical stakeholders
- Bias for action and ability to thrive in ambiguity—comfortable experimenting and iterating in a fast-paced environment
- Nice to haves:
- Background in go-to-market engineering, revenue operations, or sales engineering
- Knowledge of business process automation, RPA, or workflow orchestration tools
- Experience in adtech, martech, or data-driven SaaS environments
- Contributions to open-source projects in AI/ML, data, or dev tools
Benefits
- Monthly allowance toward Health Care, Dental, Optical, Income Protection and Relevant Life
- Pension Scheme with 3% contribution from the Company
- Holidays: Total of 28 days per year (including UK Bank Holidays)
- Flexibly hybrid work schedule
- Summer Fridays (we leave early)
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