Agentic AI Engineer
About the Opportunity
We're partnering with a globally recognized enterprise organization that is
making a significant investment in next-generation AI capabilities and building a world-class AI Engineering function.
This team is focused on developing intelligent systems that combine
cutting-edge AI research with large-scale enterprise deployment, tackling some of the most challenging problems in reasoning, orchestration, retrieval, memory management, and autonomous workflow execution.
As an Agentic AI Engineer, you'll play a key role in designing and building production-grade AI systems capable of reasoning, planning, retrieving information, using tools, and executing complex workflows at scale. You'll work alongside AI researchers, platform engineers, architects, and product leaders to help define how intelligent systems operate within real-world enterprise environments.
This is not a prompt-engineering-only role. We are looking for engineers who think deeply about system behavior, context management, grounding, reliability, and how intelligent agents perform under real-world operational constraints.
Work You'll Do
As an Agentic AI Engineer, you will design, build, and operationalize LLM-powered systems capable of reasoning, planning, retrieving information, using tools, and executing multi-step workflows reliably at scale.
You will work on the "thinking layer" of modern AI systems, including:
• Agent architecture and orchestration
• Tool integration and workflow execution
• Retrieval and grounding pipelines
• Memory and context management
• Evaluation and observability
• Reliability, safety, and guardrails
You will help shape how complex domain knowledge is transformed into production-grade AI behavior, with a strong emphasis on precision, traceability, maintainability, and operational robustness.
Key Responsibilities
• Design and implement agentic AI systems capable of multi-step reasoning, planning, tool use, and workflow execution.
• Build stateful workflows using frameworks such as LangGraph and LangChain, including branching, retries, self-correction, human-in-the-loop checkpoints, and reusable orchestration patterns.
• Develop and integrate Retrieval-Augmented Generation (RAG) pipelines, including ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies.
• Engineer memory and context management capabilities, including conversational state, persistent memory, retrieval-aware context assembly, and token-efficient context engineering.
• Build integrations with internal and external tools, APIs, enterprise systems, databases, and model providers so agents can operate safely within real business workflows.
• Contribute to context delivery and model interaction patterns that improve how AI systems discover, retrieve, and use relevant information.
• Evaluate system quality across both retrieval and generation layers using automated metrics, human review, and task-based evaluation frameworks.
• Implement observability for prompts, tool calls, retrieval quality, agent traces, failures, drift, latency, and production behaviour.
• Apply guardrails, safety controls, and failure handling mechanisms to improve reliability and reduce hallucinations or unsafe actions.
• Stay current on advances in LLMs, agentic systems, evaluation methodologies, and context engineering, translating research and emerging techniques into practical engineering decisions.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Data Science, Computational Linguistics, or a related field.
• Hands-on experience building production-grade applications with LLMs, including prompt engineering, tool use, structured outputs, error handling, and model behaviour tuning.
• Strong experience with LangChain and especially LangGraph for orchestrating complex LLM workflows and agent behaviour.
• Experience designing and optimizing end-to-end RAG systems, including indexing, retrieval, reranking, grounding, and evaluation.
• Strong understanding of memory and context management, including context windows, retrieval-driven context assembly, persistent memory, and high-signal context selection.
• Deep understanding of LLM behaviour in practice, including strengths, limitations, hallucination risks, reasoning constraints, latency/cost trade-offs, and evaluation methods.
• Strong Python engineering skills and familiarity with modern software engineering practices, including testing, CI/CD, version control, and API integration.
• Experience implementing observability, tracing, and debugging for LLM-based systems in production.
• Ability to translate ambiguous, high-complexity business processes into robust system logic and reusable AI patterns.
Preferred Qualifications
• Experience with multi-agent systems and agent collaboration patterns.
• Familiarity with vector databases and retrieval infrastructure such as Pinecone, Weaviate, or Milvus.
• Exposure to model adaptation and fine-tuning techniques such as LoRA or QLoRA.
• Understanding of traditional NLP concepts including tokenization, semantic similarity, entity extraction, summarization, and transformer fundamentals.
• Demonstrated habit of staying current with AI research, benchmarks, and emerging engineering patterns.
• Experience operating in highly regulated, high-stakes, or operationally complex enterprise environments.
The Team
You will join a multidisciplinary team of AI engineers, platform architects, researchers, and technical leaders building the next generation of enterprise AI systems.
The team is focused on solving highly complex real-world challenges where reliability, explainability, scalability, and intelligent decision-making are critical. You'll work on systems that move beyond simple chatbot experiences into sophisticated reasoning, planning, retrieval, and workflow automation capabilities.
Success in this role requires a strong engineering mindset, curiosity, and a passion for building the underlying machinery that powers intelligent systems—not just the interfaces users see.
Why Apply?
• Work on some of the most exciting areas in modern AI, including Agentic AI, RAG, memory systems, orchestration, and reasoning
• Help build production-grade AI systems operating at enterprise scale
• Collaborate with highly technical engineers, researchers, and architects
• Access modern AI tooling, infrastructure, and platforms
• Join a rapidly growing AI organization with significant executive sponsorship and long-term investment
• Competitive compensation and strong career growth opportunities
Member of Technical Staff, Machine Learning
Location: San Francisco, CA
Employment Type: Full-Time
Work Arrangement: Onsite
About the Company
Our client is an early-stage AI startup building next-generation machine learning systems that transform large-scale multimodal data into structured intelligence for real-world applications.
Working at the intersection of foundation models, computer vision and robotics, the team is developing cutting-edge Vision-Language Models (VLMs) and multimodal AI systems capable of understanding complex video and sensor data at scale. Their technology supports customers solving challenging problems across autonomy, robotics and industrial AI.
The founding team brings deep expertise in large-scale machine learning, distributed systems, AI infrastructure and applied research, with experience building production AI systems and publishing at leading machine learning conferences.
About the Role
We're looking for an exceptional Machine Learning Engineer / Member of Technical Staff to help develop state-of-the-art multimodal AI systems.
This role sits at the intersection of frontier AI research and production engineering, focusing on training, fine-tuning and deploying large-scale Vision-Language Models capable of understanding motion and real-world environments from video data.
You'll work directly with a highly technical founding team, helping shape both the research roadmap and the core machine learning platform from an early stage.
Responsibilities
- Train, fine-tune and evaluate large-scale Vision-Language Models and multimodal foundation models.
- Design and optimize GPU-accelerated training, inference and evaluation pipelines.
- Develop multimodal architectures capable of reasoning over video, language and sensor data.
- Build evaluation frameworks for benchmarking model performance across complex reasoning tasks.
- Develop scalable data curation pipelines that improve model quality through automated dataset generation.
- Collaborate closely with leadership to take research ideas from experimentation into production.
- Contribute to cutting-edge research while building production-ready AI systems.
Required Experience
- Strong Python and PyTorch development experience.
- Experience training or fine-tuning foundation models, Vision-Language Models or other multimodal AI systems.
- Strong understanding of modern deep learning workflows and large-scale experimentation.
- Experience working with video, image or sensor-based machine learning datasets.
- Knowledge of embeddings, retrieval systems and GPU optimization techniques.
- Ability to work independently in a fast-paced startup environment.
Preferred Experience
- Publications or research experience in machine learning, computer vision or multimodal AI.
- Experience with distributed training, vector databases or ML orchestration platforms.
- Contributions to open-source machine learning frameworks.
- Previous experience within robotics, autonomous systems or computer vision.
Why Join?
- Build frontier AI technology with real-world impact.
- Work directly alongside an experienced technical founding team.
- Significant ownership over both research and engineering decisions.
- Opportunity to influence the direction of an ambitious, early-stage AI company.
- Competitive compensation package including meaningful equity.
Senior Privacy Manager - 12 MONTH FIXED TERM CONTRACT, up to £85,000
A leading global law firm is looking to recruit an exceptional Senior Privacy Manager on a 12 month fixed term contract to support across the business. There is potential for this position to become permanent but cannot be guaranteed.
Candidates with notice period longer than 1 month will not be considered at this point.
The Role:
- Leading on DPIAs and other privacy risk assessments.
- Managing privacy policies
- Managing risk registers and ISO27001
- Lead on incident and breach management
- Support on AI Governance.
- Working closely with senior stakeholders across the business.
Requirements:
- Extensive knowledge of data protection and global privacy legislation across EMEA.
- Knowledge os ISO27001 and AI Governance.
- Strong stakeholder management skills.
- Prior experience within law firms or other large corporate environments is preferred.
- 2 days a week in LondonBirmingham/Manchester office. London is preferred.
Sponsorship is not available for this position.
Senior Data Analyst – Healthcare
A Global Digital Health Leader based in London is currently searching for a Senior Data Analyst to take ownership of data modelling and reporting, driving data-led decision making across the business as part of a large-scale transformation programme.
The successful applicant will be responsible for working with Senior Leadership to develop and maintain robust data models, build insightful Power BI dashboards, and ensure data accuracy and accessibility across technology and business operations.
Location: London or Burton Upon Trent, once a week in the office.
Salary: £60,000 to £70,000 + Benefits
To be considered:
- Proven expertise in SQL for querying, transforming, and analysing large datasets.
- Strong experience building and maintaining dashboards and reports in Power BI.
- Solid understanding of data modelling principles and best practices.
- Databricks experience is desirable but not essential.
- Strong stakeholder communication skills, collaborating across Finance, Ops, and Tech.
This is a high-impact role at the intersection of data and business strategy. If you're ready to drive meaningful insight and impact in a healthcare-focused environment, please apply via the link below.
A well-funded, human-centered robotics company building AI-powered humanoid robots designed to work alongside people, starting in manufacturing and logistics, with healthcare and home applications on the roadmap.
The Role
They're looking for a seasoned Staff TPM to lead complex, cross-functional programs spanning multiple product lines and engineering orgs. You'll set strategic direction for how programs are planned and executed, align executive stakeholders with engineering leadership, and shape the technical and operational frameworks that let the company deliver humanoid robots at scale. This includes mentoring other PMs and acting as a trusted partner to engineering leaders on the highest-risk, highest-visibility initiatives in the business.
What You'll Own
- End-to-end program execution: setting direction, identifying resource needs, and owning accountability for company goals and roadmap
- Cross-org orchestration across engineering, operations, supply chain, finance, and executive leadership
- Long-range program strategy, scheduling, milestones, and execution frameworks that scale across multiple programs
- Proactive communication of status, risk, and trade-offs up to executive stakeholders
- Mentorship of other TPMs and continuous improvement of program management practices and tooling
What They're Looking For
- Extensive experience leading full hardware + software product lifecycles from concept through scaled production, across multiple concurrent programs
- Deep technical fluency to engage as a peer with engineering on architecture, interface definition, and hard technical trade-offs, not just schedule management
- Proven NPI experience: multiple products taken from prototype to manufacturing, including DFM/DFA and ramp management
- Strong cross-disciplinary coordination across mechanical, electrical, firmware, software, and AI/ML teams
- Track record of driving measurable outcomes at scale and managing critical path across a portfolio
- Experience scaling hardware/software platforms into commercial production
- Ability to align competing priorities across product, engineering, and execs in a fast-paced, resource-constrained environment
Requirements
- Bachelor's in EE, CS, ME, or Applied Physics
- 10+ years in program or engineering management, including cross-functional hardware/software leadership at a senior or staff level
- Robotics experience strongly preferred; Master's in Engineering a plus
Key details
Rate - £500-£550 (outside IR35)
Duration – 6months
Work pattern – remote, occasional travel to Netherlands (expenses covered)
Overview
We are seeking an experienced Senior PMO to support the delivery of a complex HR Transformation programme. This role will provide programme governance, planning, executive reporting and resource management, ensuring the programme remains organised, on track and responsive to changing priorities.
Previous experience supporting an end-to-end HR Transformation programme is essential. Experience with Workday is desirable but not required.
Key Responsibilities
- Provide PMO leadership across programme governance, planning and delivery.
- Maintain programme schedules, roadmaps, milestones and dependencies.
- Manage RAID logs, actions and programme controls.
- Develop and maintain resource plans, balancing capacity and reallocating resources as priorities change.
- Support senior stakeholders with programme reporting, planning and decision-making.
- Ensure appropriate handling of highly confidential HR and organisational information.
Essential Experience
- Proven experience as a Senior PMO
- Previous HR Transformation programme experience (essential).
- Strong programme planning, governance and executive reporting skills.
- Experience managing resource plans, capacity and prioritisation.
- Excellent stakeholder management and organisational skills.
- Ability to work with discretion and confidentiality.
Desirable
- Experience supporting a Workday implementation.
- Knowledge of HR systems and operating model transformation.
- Experience with PMO tools such as Microsoft Project, Smartsheet, Jira or Azure DevOps.
If you are interested, please apply with your updated CV highlighting your experience in the above. If you are unavailable, recommendations are also appreciated!
t.wilson@lawrenceharvey.com
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