AI Engineer

Fintricity
2 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
£ 80K

Job location

Remote

Tech stack

C
Java
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Bash
Computer Programming
Graph Database
Information Retrieval
Python
Shell
Machine Learning
Natural Language Processing
Open Source Technology
Cloud Services
TensorFlow
Rust
Data Processing
Google Cloud Platform
PyTorch
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Indexer
Containerization
Scikit Learn
Kubernetes
Information Technology
Data Programming
Data Pipelines
Docker

Job description

We are seeking a highly skilled AI Engineers to join our innovative team. The successful candidate will be responsible for developing, implementing, and maintaining cutting-edge artificial intelligence and agentic solutions and platforms.

This role offers an exciting opportunity to work on large-scale projects building agentic systems for one of our product companies, as well as working with clients.

We are seeking innovative AI Data Scientists with a strong focus on Generative AI and Large Language Model (LLM) research. In this role, you will design, develop, and deploy advanced enhanced models, contributing to both applied research and production-ready AI solutions. You will collaborate with cross-functional teams to translate business needs into impactful AI-driven products, and remain at the forefront of advancements in generative modeling, and LLMs and other similar technologies., * Design, develop, and optimize generative AI, Agentic and LLM-based solutions for applications such as Agentic Swarms, conversational AI, document summarization, and information retrieval.

  • Conduct research and stay current with the latest advancements in machine learning, NLP and LLM architectures.
  • Implement, fine-tune, and experiment with state-of-the-art techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, and knowledge graphs.
  • LLM Evaluation Research and build and deliver a process, applications and methodologies to evaluate LLMs to scale.
  • Build and maintain scalable data pipelines and cloud-based solutions to support model training and deployment.
  • Collaborate with engineers, product managers, and stakeholders to identify business opportunities and deliver customer-focused AI solutions.
  • Ensure robust documentation, quality assurance, and adherence to best practices in Responsible and Explainable AI.
  • Communicate complex technical concepts to both technical and non-technical audiences., * End to end implementation of Agentic systems, in a small team .
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems using languages such as Python, Java, C, and Rust.
  • Utilise cloud services like AWS. Microsoft Azure, Google Cloud Platform (GCP) for scalable deployment of AI applications.
  • Conduct research on emerging AI trends and incorporate innovative techniques into projects.
  • Develop scripts and automation workflows using Bash (Unix shell) for efficient data processing.
  • Analyse data patterns to inform strategic decision-making and optimise system performance.

Job Types: Full-time, Freelance, Permanent, Fixed term contract, Internship Contract length: 6 months

Pay: £29,363.41-£80,000.00 per year

Benefits:

  • Casual dress
  • Employee stock ownership plan
  • Employee stock purchase plan
  • Free or subsidised travel
  • Profit sharing
  • Work from home

Requirements

  • Master's degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, or a related field; PhD preferred.
  • Up to 2 years of experience in data science or machine learning, with a proven track record in agentic systems, generative AI or LLM-based solutions.
  • Strong programming skills in Python; familiarity with frameworks such as PyTorch, TensorFlow, JAX, and Scikit-learn.
  • Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD tools.
  • Understanding of LLMs and Agentic patterns and techniques, including experience with RAG, LLM fine-tuning, and prompt engineering.
  • Ability to design and implement large-scale agentic and data pipelines and work with a variety of structured and unstructured data sources.
  • Any knowledge, experience and understanding of Anthropic, OpenAI, NVidia, Grok, and other open source reasoning models

Excellent communication, collaboration, and stakeholder management skills.Preferred Skills Experience with vector databases, advanced indexing, and knowledge graph integration. Familiarity with Responsible AI, model governance, and explainability best practices. Experience working in Agile, cross-functional teams and mentoring junior colleagues., * Bachelor's (required), * Python: 2 years (required)

  • AI: 2 years (required)
  • Rust (programming language): 1 year (required)
  • LLM: 1 year (preferred)
  • Machine learning: 1 year (required)
  • Data programming: 1 year (preferred)

Benefits & conditions

What We Offer

  • Opportunity to work at the cutting edge of Autonomous Agentic Systems, Generative AI and LLM research, with access to state-of-the-art infrastructure and a collaborative, multidisciplinary team.
  • Working in a dynamic and driven team that captures the opportunity around Agentic systems.
  • A dynamic environment where your work directly impacts product innovation and business outcomes.
  • Continuous learning, career growth, and the chance to shape the future of AI applications across industries.

Apply for this position