Senior AI Engineer at Elsewhen

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Python, Large Language Models, Agentic Architectures, Vector Databases, API Design, Cloud Platforms, Relational Databases, SQL, GenAI, Machine Learning, Collaboration, Documentation, Data Pipelines, FastAPI, Graph Databases

Industry

Business Consulting and Services

Description

Senior AI Engineer Elsewhen, a London-based consultancy, designs and builds technology solutions for clients like Spotify, Google, Inmarsat, and Zego. Over the past decade, we have built a workplace prioritising impact, drive, and friendliness. We value outcomes over hours and agility over rigid processes. Work Environment: Hybrid setup: Ideally, we’re looking for someone London-based who can work onsite at our WeWork one day a week (Wednesdays). We also provide a WeWork membership for occasional additional office access if needed. Join our team:https://www.elsewhen.com. We are looking for a talented Senior AI Engineer to join our fast growing team, helping to bring LLM capabilities into new and existing products. You will dive into AI engineering, building LLM powered systems and exploring multi-agent architectures within a variety of organisations. What You’ll Do: Experiment with POCs to find solutions for real-world problems using Large Language Models. Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation Build and deploy Agentic LLM-based solutions with LangGraph. Familiar with different multi agent system patterns Build and deploy LLM-based solutions using RAG Familiar with different types of databases: Relational, Graph etc Design and optimise APIs using Python and FastAPI to serve AI solutions. Familiar with GCP ecosystem and Cloudrun Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models. What We’re Looking For: Professional AI engineering experience. Background in Software Engineering with Python. Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph. Working with vector databases for embedding and indexing. Strong experience with cloud platforms Strong experience with API design and frameworks like FastAPI or Flask Solid experience with relational databases and SQL Interest in expanding your knowledge into GenAI and machine learning Excellent communication skills and the ability to work well in a collaborative team environment Nice to have: Strong experience with GCP Experience with Graph databases Experience in bringing data-intensive projects into production Experience with CI/CD pipelines Benefits: Private Health Insurance: Comprehensive coverage for both physical and mental health. Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London. Generous Leave Policy: 27 days of holiday plus bank holidays Family-friendly policies, including enhanced maternity, paternity and shared Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days. Feel Better Fund: £500 to help set up your remote office. Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events. Gym Membership Contribution: Support for maintaining your physical health. Pension Contribution: Enhanced employer pension contribution of 6%. Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements Our Commitment to Diversity: Diverse thoughts, backgrounds, and perspectives create stronger teams and better technology. We welcome everyone, regardless of culture, appearance, or perspective, fostering individuality. We empower our team to challenge norms, grow ideas, and produce their best work.

Responsibilities

The Senior AI Engineer will experiment with proofs of concept to solve real-world problems using Large Language Models and collaborate on AI-driven projects with a team. They will build and deploy LLM-based solutions and optimize APIs to serve AI solutions.