At a Glance
- Tasks: Build a cutting-edge orchestration layer for natural language querying across multiple data sources.
- Company: Join a forward-thinking tech company focused on AI and natural language processing.
- Benefits: Competitive salary, flexible work options, and opportunities for skill development.
- Other info: Dynamic team environment with great potential for career advancement.
- Why this job: Make an impact by developing innovative solutions that enhance user experience with AI.
- Qualifications: Strong Python skills and experience with LangGraph and LLM-powered applications.
The predicted salary is between 63000 - 77000 £ per year.
Natural Language Query Orchestration Developer is required to build the orchestration layer that enables users to query multiple data sources using natural language.
You will be responsible for
- Building a Lang Graph-based orchestration layer for natural language querying.
- Developing a deterministic intent classification approach.
- Building logic to route and combine information from multiple data sources.
- Integrating the orchestration layer with the dbt Metric Flow-based semantic layer.
- Developing testing and evaluation approaches to validate query accuracy and reliability.
- Delivering production-ready, reusable components and technical documentation.
- Required skills
- Strong Python development experience.
- Extensive experience with Lang Graph.
- Experience building LLM-powered applications.
- Strong understanding of natural language querying and intent classification.
- Experience with Snowflake.
- Any experience with dbt Metric Flow would be beneficial.
- Strong understanding of building and testing production-grade AI solutions.
Natural Language Query Orchestration Developer/LangGraph employer: Careerwise
Careerwise is an excellent employer that fosters a collaborative work culture, offering flexible working arrangements with just two days a week in the vibrant city of London. Employees benefit from continuous professional development opportunities and are encouraged to innovate in their roles, making it a rewarding environment for those passionate about data quality and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Natural Language Query Orchestration Developer/LangGraph
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Careerwise.
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We think you need these skills to ace Natural Language Query Orchestration Developer/LangGraph
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Careerwise, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Careerwise. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Careerwise
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Careerwise!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
