Applied AI Engineer - Agentic Systems - Senior Associate

Next Frontier Capital; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

TwinThread is seeking an AI Engineer for their Agentic AI Solutions team in Greater London. You will design, build, and deploy autonomous AI agents, enhancing operations through innovative solutions. The role requires collaboration with cross-functional partners to translate operational needs into effective multi-agent systems.

A competitive salary and benefits package are offered, along with opportunities for professional growth in a collaborative and inclusive environment.

Qualifications

• Experience building and deploying agentic AI applications in production environments.
• Proficiency in Python with experience writing comprehensive tests.
• Hands-on experience with agent frameworks and knowledge of generative models.

Responsibilities

• Design, build, and deploy autonomous AI agents to streamline workflows.
• Collaborate with partners to translate needs into robust multi-agent systems.
• Analyze data to inform agent capabilities and drive data-driven decisions.

Skills

Multi-agent systems

Collaboration

Problem-solving skills

Effective communication

Education

Advanced degree in Computer Science, Data Science, or related field

Tools

PyTorch

TensorFlow

scikit-learn

LangChain

CrewAI

AWS

Job description

Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement.

As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported.

Job Responsibilities

• Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.
• Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.
• Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.
• Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.
• Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.
• Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.
• Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.
• Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.
• Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.

Required Qualifications, Capabilities, and Skills

• Advanced degree in Computer Science, Data Science, Machine Learning, or related field.
• Experience building and deploying agentic AI applications in production environments.
• Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.
• Hands‑on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.
• Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.
• Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.
• Familiarity with cloud platforms and containerization technologies.
• Strong problem‑solving skills and ability to work independently and collaboratively.
• Effective communication skills for technical and non‑technical audiences.

Preferred Qualifications, Capabilities, and Skills

• Experience in financial services, especially investment banking operations.
• Experience fine‑tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.
• Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.
• Experience with distributed computing, data sharding, and performance optimization.
• Hands‑on experience with AWS services related to AI deployment and workflow orchestration.

Why Join Us?

We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference.

Equal Opportunity Employer

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.