GenAI Engineer, Vynteligence

Salary not provided

Offers ESOP

Python

Junior and Mid level

Remote from UK

Digital platform for transforming complex analog work

Open for applications

Digital platform for transforming complex analog work

21-100 employees

B2BArtificial IntelligenceDigital MediaSaaSMobile

Open for applications

Salary not provided

Offers ESOP

Python

Junior and Mid level

Remote from UK

21-100 employees

B2BArtificial IntelligenceDigital MediaSaaSMobile

Company mission

To create a more human business environment, powered by more human communications and using technology to simplify and improve our working lives.

Job

Company

Role

Who you are

Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related technical field
At least solid 2+ years of hands-on experience building and deploying LLM-based systems (e.g., fine-tuning, RAG, prompt engineering)
Strong proficiency in Python and hands-on experience with LLM orchestration frameworks (e.g., LangChain, CrewAI, AgnosAI or similar)
Experience with vector databases (e.g., Pinecone, Weaviate), retrieval optimisation (OpenSearch, FAISS, Chroma)
Experience using LLM evaluation tools and methodologies (e.g., DeepEval, Langfuse or equivalent) to assess model quality, reliability, and performance
Strong understanding of responsible AI principles and practical experience in bias detection and model transparency
Ability to communicate technical AI concepts clearly to diverse audiences

What the job involves

Build and maintain production-ready LLM applications using modern orchestration frameworks, with a strong focus on prompt engineering, context design, and guardrail development
Develop and optimise inference pipelines to ensure accuracy, reliability, and consistency of outputs that meet enterprise-level standards
Implement and run systematic evaluation workflows using both automated tools (e.g., DeepEval, Langfuse) and human-in-the-loop review to validate model performance and safety
Support RAG or retrieval-based features where required, including working with vector databases and document-processing pipelines
Collaborate with product and engineering teams to define use cases, set KPIs, and deliver AI features aligned with business goals
Mentor technical/non-technical stakeholders on Gen AI capabilities, limitations, and responsible adoption

Our take

As businesses adapt to more mobile-first strategies, Vyntelligence noticed that the tools these companies use need to be adapted to that environment. The company creates business workflow tools that integrate high-value human intelligence through visual exchange solutions.

This elevating of the human touch within mobile-first involves the capturing of complex information and data through short videos. Leveraging the latest advances in AI, Vyntelligence’s computer vision technology can extract vital information from video data, labelling and extracting information to speed up customer response times, and critical decision-making for product teams.

Growth funding awarded by Octopus Ventures in 2024 will enable Vyntelligence to grow across the UK, Europe and the US. Partnerships with US candidate intelligence company Eightfold AI and Spanish fibre optics provider Lyntia indicate that Vyntelligence’s expansion is already underway.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Nov 2025

$30m

SERIES B

Total funding: $30m

Company benefits

A tax-efficient employee stock ownership plan scheme (ESOP)
Generous paid time off
Private health coverage
Access to wellbeing platform

Company HQ

London, UK

Leadership

Kapil Singhal

(Co-Founder & CEO)

Previously the Global Head of Sales at Aricent and was an Engineer at Ericsson.

Arti Khanna

(Co-Founder)

Worked in Strategic Offer Management at Aricent, Product Management at Flextronics Software Systems, and Hughes Software Systems and was a Solutions Architect at Hughes Software Systems.

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