Staff Software Engineer Apply now

Staff Software Engineer

London Full-Time 80000 - 120000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Design and implement innovative AI solutions to transform document handling.
  • Company: Join a fast-growing startup revolutionizing how businesses utilize AI for document insights.
  • Benefits: Enjoy a competitive salary, equity, and a hybrid work environment.
  • Why this job: Be part of a collaborative team pushing the limits of generative AI in a thriving industry.
  • Qualifications: Strong software engineering skills in AI, proficiency in Python, and experience with production AI systems.
  • Other info: This role is based in London; sponsorship is not available.

The predicted salary is between 80000 - 120000 £ per year.

A scaling GenAI start-up is seeking a passionate Staff AI Engineer to help revolutionize the way businesses handle documents. About the Company: The company is a rapidly growing startup dedicated to automating complex tasks and extracting valuable insights from documents. Their AI assistant is empowering professionals across various industries to focus on high-impact work. The company is backed by top-tier investors and has a strong leadership team with a proven track record of success. London Based – Hybrid Salary: £100-£150,000 **Please note that unfortunately the client is not able to provide sponsorship at this point About the Role: As a Staff AI Engineer, the successful candidate will be responsible for designing, developing, and implementing innovative AI solutions. They will work closely with the team of experts to build scalable systems that delight customers and push the boundaries of what’s possible with generative AI. Key Qualifications: Strong software engineering skills with a focus on AI and machine learning Proficiency in Python and LLM libraries (e.g. Langchain, LLMFlows,..) Experience building and deploying AI systems in production environments Excellent problem-solving and analytical abilities Passion for staying up-to-date with the latest AI advancements What the Company Offers: Competitive salary and equity Opportunity to work on cutting-edge AI projects Collaborative and supportive work environment Chance to contribute to a rapidly growing startup If this sounds relevant and interesting, I’d love to hear from you! 🙂

Staff Software Engineer employer: Trust In SODA

Join a dynamic and rapidly growing GenAI startup in London, where your contributions as a Staff AI Engineer will directly impact the future of document automation. Enjoy a competitive salary, equity options, and the opportunity to work on groundbreaking AI projects within a collaborative and supportive team culture that fosters innovation and professional growth. This is your chance to be part of a visionary company backed by top-tier investors, dedicated to empowering professionals across various industries.
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Contact Detail:

Trust In SODA Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Software Engineer

✨Tip Number 1

Make sure to showcase your experience with AI and machine learning in your conversations. Highlight specific projects where you've designed or implemented innovative AI solutions, as this will resonate well with the team.

✨Tip Number 2

Familiarize yourself with the latest advancements in generative AI. Being able to discuss recent trends or breakthroughs can demonstrate your passion and commitment to the field during interviews.

✨Tip Number 3

Network with professionals in the AI community, especially those who have experience in startups. They can provide valuable insights and potentially refer you to opportunities within the company.

✨Tip Number 4

Prepare to discuss your problem-solving approach in detail. The role requires excellent analytical abilities, so be ready to share examples of how you've tackled complex challenges in previous projects.

We think you need these skills to ace Staff Software Engineer

Software Engineering
AI and Machine Learning Expertise
Proficiency in Python
Experience with LLM Libraries (e.g. Langchain, LLMFlows)
Building and Deploying AI Systems
Production Environment Experience
Problem-Solving Skills
Analytical Abilities
Knowledge of Generative AI
Staying Current with AI Advancements
Collaboration Skills
Scalability Design
Innovation in AI Solutions

Some tips for your application 🫡

Understand the Company: Research the startup's mission and values. Familiarize yourself with their AI solutions and how they are revolutionizing document handling. This knowledge will help you tailor your application.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in software engineering, particularly in AI and machine learning. Mention specific projects where you've used Python and LLM libraries to demonstrate your expertise.

Showcase Problem-Solving Skills: Provide examples of how you've tackled complex problems in previous roles. Highlight your analytical abilities and any innovative solutions you've developed, especially in production environments.

Express Your Passion for AI: Convey your enthusiasm for AI advancements in your application. Discuss any relevant courses, certifications, or personal projects that showcase your commitment to staying updated in the field.

How to prepare for a job interview at Trust In SODA

✨Showcase Your AI Expertise

Be prepared to discuss your experience with AI and machine learning in detail. Highlight specific projects where you've implemented innovative solutions, especially using Python and LLM libraries like Langchain or LLMFlows.

✨Demonstrate Problem-Solving Skills

Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and how you approach complex challenges.

✨Stay Updated on AI Trends

Show your passion for the field by discussing recent advancements in AI. Mention any relevant articles, research, or technologies that excite you, demonstrating your commitment to staying at the forefront of the industry.

✨Emphasize Collaboration

Since the role involves working closely with a team, be ready to share examples of how you've successfully collaborated with others in past projects. Highlight your ability to communicate effectively and contribute to a supportive work environment.

Staff Software Engineer
Trust In SODA Apply now
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  • Staff Software Engineer

    London
    Full-Time
    80000 - 120000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-07

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    Trust In SODA

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