Perceptive on cord

Perceptive

Senior Agentic AI Engineer

External position
Remote in UK
Hiring internally for Perceptive?
Pharmaceuticals · Research
Delivering Discovery, eClinical, and Imaging Solutions to the Global Biopharmaceutical Industry
Posted
2 months ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior
Core skills considered: Product Strategy, APIs, CI/CD
Other skills considered: Privacy, Data Protection, Regression Testing

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Remote
Work from: Within United Kingdom
Visa sponsorship: Not available

Job Description

As Senior Agentic AI Engineer, you will own the design, implementation, and operationalization of complex agentic AI systems that drive automation, scalability, and data quality across medical imaging clinical trials. This role leads the delivery of multi‐step, production‐grade agentic workflows supporting imaging intake, quality control, protocol compliance, data validation, and structured decision support. The Senior Agentic AI Engineer also plays a key role in advancing the company’s AI‐driven Product Development Life Cycle (PDLC)—from discovery and design automation to delivery, deployment, and production operations. In addition to hands‐on technical contributions, this role provides technical leadership, mentoring engineers, shaping best practices for agent reliability and evaluation, and ensuring AI systems meet quality, safety, and regulatory expectations.


Key Responsibilities

  • Lead discovery and design discussions with Product, Imaging Operations, Clinical Ops, QA, Security, and Regulatory teams.
  • Translate complex clinical and PDLC workflows into robust, agent‐compatible system designs with clearly defined boundaries, validation rules, and human oversight.
  • Drive alignment between business objectives, product strategy, and technical implementation.
  • Act as a technical point of contact for stakeholders on agentic AI capabilities and limitations.
  • Lead technical design reviews for agentic AI features and platform components.
  • Mentor and coach mid‐level engineers on agent design, evaluation strategies, failure analysis, and production readiness.
  • Define team‐level best practices for prompt engineering, retrieval grounding, evaluation metrics, and observability.
  • Contribute to internal documentation, reference implementations, and shared libraries.
  • Design and build end‐to‐end agentic workflows involving planning, tool use, retrieval, and structured outputs.
  • Implement advanced RAG patterns grounded in controlled knowledge sources (protocols, SOPs, specifications, audit artifacts).
  • Develop evaluation frameworks to measure task success, grounding quality, hallucination risk, and regression across agent versions.
  • Build scalable backend services, APIs, and orchestration layers supporting agent execution in production.
  • Own production deployments of agentic systems, including CI/CD pipelines, environment promotion, and rollback strategies.
  • Define observability standards: tracing agent reasoning, tool calls, retrieval events, errors, and cost telemetry.
  • Ensure systems meet security, privacy, and compliance requirements (access controls, audit logs, data protection).
  • Partner with platform and DevOps teams to improve reliability and scalability of AI services.
  • Evaluate emerging agentic AI techniques and assess their applicability to regulated clinical workflows.
  • Lead proof‐of‐concepts and transition validated approaches into hardened, production‐ready solutions.
  • Establish guidelines for selecting models, architectures, and evaluation methods.
  • Contribute to longer‐term AI roadmap planning and technical strategy.
  • Carry out any other reasonable duties as requested

Functional Competencies (Technical Knowledge/Skills)

  • Advanced software engineering skills with a strong track record of delivering production-grade systems in complex environments.
  • Hands-on expertise designing and implementing agentic AI systems, including:
  • multi-step task decomposition and orchestration
  • tool and API integration
  • structured outputs and validation mechanisms
  • Strong mastery of LLM-based system design, including prompt/version management, grounding strategies, and error handling.
  • Proven ability to design and implement evaluation frameworks for agentic systems (task success, grounding, hallucination detection, regression testing).
  • Strong exposure to MLOps / DevOps practices, including CI/CD, monitoring, observability, cost management, and safe deployment strategies.
  • Familiarity with clinical trials or life sciences environments, including structured processes and data quality expectations, preferred.
  • Awareness of data privacy and security principles applied to sensitive or regulated data (e.g., healthcare, personal data), preferred.
  • Previous contribution to internal platforms or shared engineering frameworks is a plus.
  • Strong ability to lead technical initiatives and drive alignment across engineering, product, operations, and quality stakeholders.
  • Clear and effective communicator, capable of explaining complex agentic AI systems, risks, and trade-offs to both technical and non-technical audiences.
  • Mentorship mindset: actively supports and coaches other engineers through design reviews, pairing, and feedback.
  • High level of ownership and accountability; comfortable taking responsibility for design decisions and production outcomes.
  • Pragmatic problem-solver with sound engineering judgment, particularly in ambiguous or high-risk scenarios.
  • Bias toward delivery while maintaining a strong focus on quality, reliability, and safety.

Experience, Education, and Certifications

  • Solid professional software engineering experience.
  • Experience working in cross-functional environments with product and operational teams.
  • Deep practical experience with retrieval-augmented generation (RAG) patterns, including chunking strategies, embedding management, retrieval quality evaluation, and traceability.
  • Experience building scalable backend services, APIs, and pipelines supporting AI-driven workflows.
  • Experience working with or strong understanding of medical imaging workflows (e.g., DICOM metadata, modality concepts, imaging QC processes), preferred.
  • Experience developing software in regulated or quality-sensitive environments, with attention to validation, auditability, and traceability, preferred.
  • Demonstrated ownership of complex systems from design through production.
  • Proven ability to lead technical initiatives and mentor engineers.
  • Strong experience operationalizing AI systems at scale.
  • Master’s degree in Computer Science, Engineering, Data Science, or related field or equivalent practical experience.
  • Master’s degree or relevant AI/ML specialization is a plus.
  • English: Fluent
Senior Agentic AI Engineer at Perceptive
Position posted 2 months ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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