Large Language Model (LLM) Engineer
Large Language Model (LLM) Engineer
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Job Description
About the role:
As a Prompt Engineer and LLM Specialist at Ignition youll play a critical role in leveraging Large Language Models (LLMs) to drive solutions that matter to customers. Youll collaborate closely with Product Managers Engineers and Data Scientists to optimize and refine prompt designs evaluate models and ensure our AI-driven initiatives deliver meaningful outcomes efficiently.
Reporting to the Head of Data and Analytics your work will balance technical expertise with practical business acumen empowering stakeholders to understand when and how to best utilize LLMs and related technologies. Youll foster an environment of continuous learning experimentation and pragmatism in adopting AI solutions.
What your day to day will look like:
- Collaborate with cross-functional teams including Product Managers and Engineers to identify opportunities where LLMs provide significant value compared to traditional methods.
- Iterate test and refine prompts for Large Language Models focusing on maximizing accuracy relevance and efficiency.
- Assess various LLM providers and models balancing factors such as accuracy cost-effectiveness latency and ease of integration.
- Implement advanced AI techniques such as function calling and agent orchestration (e.g. coordinating multiple agents to complete tasks like data enrichment or summarisation).
- Apply retrieval and response enhancements such as hybrid retrieval query rewriting reranking and guardrails to improve accuracy and control.
- Utilize low-code tools (e.g. N8N Zapier) to integrate and automate LLM workflows efficiently across the business.
- Prototype and deliver internal LLM-powered tools (e.g. knowledge assistants automated code snippets ticket routing agents) to boost efficiency across support ops and engineering workflows.
- Contribute to the stability and cost-efficiency of LLM pipelines by implementing caching monitoring and performance optimization strategies.
- Provide guidance and best practices on AI ethics transparency and model governance proactively addressing risks related to bias compliance and security.
- Communicate insights progress and technical decisions clearly to both technical and non-technical stakeholders ensuring alignment and understanding across the business.
Qualifications :
What you need to succeed:
- Demonstrated experience in designing iterating and refining prompts for LLMs with a clear understanding of different prompting strategies.
- Strong analytical and critical thinking skills capable of translating complex AI techniques into practical business applications.
- Experience evaluating LLM providers and balancing trade-offs around accuracy latency and cost.
Nice-to-have:
- Familiarity with cloud infrastructure (AWS Azure GCP) and containerization (Docker Kubernetes).
- Experience with data science workflows and experimentation frameworks.
- Understanding or experience with business intelligence tools (Looker Tableau Power BI).
- What Youve Done Before (or could show us):
- Built or contributed to an AI-powered product feature internal tool or automation using LLMs.
- Worked with data product or design stakeholders to define and deliver usable AI functionality.
- Explored the trade-offs between embeddings LLMs and traditional ML techniques.
- Created prototypes using OpenAI Anthropic or OSS modelsand turned one into a stable internal or customer-facing capability.
- Have intermediate scripting skills (Python preferred) to debug LLM outputs and write automation scripts as needed.
- Familiarity with low-code automation tools (N8N Zapier) to streamline and operationalize LLM workflows.
- Hands-on experience with vector databases and retrieval-augmented generation (RAG) methods.
- Familiarity with advanced AI techniques including agent orchestration function calling query rewriting reranking and implementing guardrails for model governance.
- Demonstrated ability to ship and maintain production-grade AI features with attention to reliability latency and scalability.
- Excellent communication skills capable of clearly presenting complex technical concepts to non-technical stakeholders.
- SQL proficiency preferred valuable for inspecting data understanding analytics pipelines and contributing to prompt tuning tasks.
- Experience integrating and deploying LLMs at scale via platforms like AWS Bedrock or Snowflake is desirable.
Additional Information :
Why join us:
Join our global SaaS scale-up company where we foster a collaborative open and transparent culture and work without ego. Our team comprises curious and intelligent colleagues who embrace challenges. Heres what we offer:
- Employee stock options from day one
- 20 days of accrued annual leave/vacation plus 10 wellbeing days to prioritize yourself and your loved ones
- Additional paid day off to celebrate your birthday along with volunteering leave
- Health dental and vision benefits starting immediately
- Annual education allowance reimbursement to support your professional development
- Employee recognition program
- Quarterly wellness allowance to invest in your personal wellness
- Paid subscriptions to Headspace and LifeWorks EAP & Wellbeing Platform
- Flexible working arrangements supported by WFH reimbursement and technology allowance to ensure your safety while working from home
- Personal tax return assistance (since were in the accounting business!)
- Paid parental leave
Please consider applying even if you dont tick all the boxes. Research has shown that candidates from underrepresented minority groups often only apply for roles where they meet all the detailed criteria. Experience comes in many forms and skills are transferable. We are committed to adding diverse perspectives to our teams and encourage everyone to apply if interested.
Ignition is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race colour religion sex sexual orientation gender identity national origin disability protected veteran status or any other characteristic protected by law.
Ignition is proud to provide employment and recruitment accommodations during the recruitment process. Once our team reviews your resume and contacts you if there is a fit we will work with you to meet your accessibility needs. For any questions suggestions or required documents regarding accessibility in a different format please contact
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
