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
Lawrence Harvey are supporting a well-recognised organisation that are looking for a Project Manager to support the client-side delivery of the Employee Central Payroll module.
You will be acting as the internal SME within the HR and Payroll team for the implementation, supporting the project delivery, plan, and working alongside the SI Partner to ensure a successful deployment.
This is an Outside IR35 role paying £500 per day and is predominantly remote with some travel across the UK which will be expensed. This contract will run for 9 months and you must be available to start in July.
Experience:
- Over 5 years of project management experience delivering HRIS, HCM, or payroll transformation projects.
- Proven track record managing SAP SuccessFactors Employee Central Payroll implementations.
- Strong understanding of payroll processes, HR operations, and compliance requirements for the UK.
- Experience managing and supporting SI Partners with off-shore technical resources
- Proven ability to manage cross-functional and geographically dispersed teams.
- Experience with Agile, Waterfall, or hybrid project delivery methodologies.
If you are available to start in July and possess the relevant experience, please apply with your latest CV.
Forward Deployed Engineer
Location: Los Angeles (Preferred), New York, Seattle, Austin
Compensation: Up to $225,000 Base + Equity + Comprehensive Benefits
We're working with one of the most exciting engineering startups in the US as they continue to build out their Forward Deployed Engineering team.
This isn't a traditional software engineering role.
It's designed for engineers who enjoy solving complex technical problems alongside customers, influencing product direction, and shipping production code that has an immediate impact.
If you're looking for ownership, variety and the opportunity to bridge engineering, product and customer success, this is one of the strongest opportunities currently available.
The Role
As a Forward Deployed Engineer, you'll own customer outcomes from initial deployment through long-term success.
You'll spend time working directly with engineering teams, understanding their technical challenges, identifying opportunities, and building production-ready solutions that solve real problems.
Many of the solutions you build will evolve into core product functionality used across the entire customer base.
You'll operate at the intersection of software engineering, product management and customer engagement, giving you significantly more ownership than a traditional engineering role.
Travel is an important part of the position, typically around 25 to 30% of your time, with occasional periods closer to 50%. Most travel consists of short customer visits lasting a few days.
What You'll Be Working With
The team hires exceptional engineers first and is largely language agnostic.
Their technology stack includes modern backend and frontend technologies, with opportunities to work across the full stack depending on customer requirements.
Engineers who enjoy working across multiple parts of a system tend to thrive in this environment.
What They're Looking For
You'll likely have:
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A few years of professional software engineering experience
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Experience shipping and owning production software
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Strong coding fundamentals
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Experience building products in fast-moving environments
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Confidence working directly with customers and cross-functional teams
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A passion for solving ambiguous engineering problems
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A desire to influence both product and technical direction
The strongest candidates are able to clearly explain:
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What they personally built
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Why they built it
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The impact it delivered
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The technical decisions they made
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How user or customer feedback influenced their work
What Makes This Different?
Most software engineering roles ask you to build features.
This role asks you to solve customer problems.
You'll work directly with users, influence the product roadmap, and own projects from the first customer conversation through to production deployment.
It's an opportunity to combine software engineering, product thinking and customer interaction without moving away from hands-on engineering.
Interview Process
The process consists of:
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Recruiter conversation
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Technical coding interview
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Half-day onsite including:
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Product demonstration
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Coding interview
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System design interview
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Debugging and pair programming session
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Behavioural and customer-focused interview
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Hiring Manager discussion
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Final Founder conversation
Compensation & Benefits
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Up to $225,000 base salary
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Equity
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Comprehensive benefits package
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Sign-on bonus available where appropriate
If you're an engineer who enjoys building production software, working directly with customers and wants to own problems from start to finish, I'd be happy to tell you more.
Role: SAP WM Architect
Length: Initial 12-month engagement
Location: Fully Remote
IR35 Status: Inside IR35
Pay Rate: Competitive Daily Rate
One of my clients are looking for an SAP WM Architect to join their team on a remote basis. This opportunity will be for an initial 12-month engagement. They're seeking a SAP WM Architect who will be accountable for the design, configuration and support services of the Procurement & Supply Chain modules.
Key Responsibilities
- 5+ years experience with SAP WM OR EWM
- 5+ years’ experience of Procurement & Supply Chain modules (including Materials Mgt, Production Planning, Supply Chain Planning, Warehouse Mgt, Inventory and MRP) design, configuration, and programme/project delivery.
- Proven experience of large SAP Programmes and successful delivery
- Experience in Team Management and Leadership
- Procurement and Supply Chain related solutions required to deliver the service.
- Integration experience with SAP P&SC and related SAP modules/third party solutions
Are you interested in this position? If so, then please respond with your CV and I will be in touch ASAP.
D365 BC berater*in mit Kenntnisse von D.velop Add-on für ein Kunden in NRW
Hier die Eckdaten:
- Rolle: Dynamics D.velop Consultant
- Start: ASAP
- Auslastung: Ad-hoc
- Arbeitsweise: 100% Remote
- Gefragte Kenntnisse:
- Technische Kenntnisse von Dynamics F&O / F&SCM
- Kenntnisse von D.velope Add-on
- Technische erfahrung mit Microsoft Sharepoint
Sollte man Verfügbarkeit und Interesse haben, freue ich mich auf ein aktuelles Profil, Ihre Kontaktdaten, und eine beste Zeit mich zu melden.
Sollten man nicht verfügbar sein, aber jemanden kennt der an dieser Position Interesse hätte, kann man gerne diesen Job weiterleiten, oder mir die Kontaktdaten weiterleiten.
Ich freue mich auf Rückmeldung und das Gespräch!
Bis dahin wünsche ich noch einen angenehmen Tag!
Viele Grüße.
Strategic Enterprise Account Executive
Remote (United States) | Up to $170K Base | $300K–$340K OTE + Equity
Join a high-growth company solving a problem every commercial building faces.
A venture-backed technology company is building a category-leading platform that helps commercial real estate owners, construction firms, and industrial organizations reduce risk, lower operating costs, and improve sustainability outcomes.
The business has achieved significant growth internationally and is now investing heavily in scaling its US enterprise sales organization. The platform combines real-time monitoring, predictive analytics, and a unique ecosystem of strategic partnerships to help customers prevent costly losses, improve operational efficiency, and create measurable financial impact.
This is an opportunity to join a company operating at the intersection of AI, enterprise software, risk management, and sustainability while helping build the next phase of its US growth story.
What You'll Do
- Develop and close enterprise opportunities across commercial real estate, construction, industrial, and infrastructure accounts
- Manage complex sales cycles with deal sizes ranging from $20K to $1M+
- Build relationships with executive stakeholders across Risk, Operations, Facilities, Sustainability, and Insurance functions
- Drive net-new business while expanding strategic enterprise accounts
- Partner closely with SDRs, Solutions Engineers, Customer Success, and Leadership
- Help shape the next phase of the company's US go-to-market strategy
Why This Opportunity Stands Out
- Up to $170K base salary with $300K–$340K OTE and meaningful equity participation
- Well-funded growth-stage business with significant investment behind US expansion
- Massive greenfield market opportunity with very low penetration today
- Enterprise customers include Fortune 500 companies, major developers, and leading construction organizations
- Multiple buying centers within every account spanning Risk, Operations, Facilities, Sustainability, and Insurance
- Unique strategic partnerships create a genuine competitive advantage and compelling ROI conversation
- Clear business case centered around reducing losses, lowering operating costs, and improving efficiency
- High-ownership culture with significant visibility and autonomy
What We're Looking For
- Enterprise SaaS sales experience
- Proven track record closing complex, multi-stakeholder deals
- Experience managing long sales cycles and strategic accounts
- Strong executive presence and consultative selling skills
- Ability to prospect, build pipeline, and drive opportunities from initial engagement through close
- Experience selling into commercial real estate, facilities, construction, risk, insurance, sustainability, infrastructure, or adjacent enterprise markets is highly desirable
Why Join?
Many software companies spend their time convincing customers they have a problem.
This organization is solving a problem customers already know exists.
The platform helps organizations prevent costly incidents, improve operational efficiency, reduce resource consumption, and lower overall risk exposure. The result is a highly compelling value proposition with measurable ROI and multiple paths into enterprise accounts.
For enterprise sellers who enjoy building markets, navigating complex organizations, and closing high-impact deals, this represents an opportunity to join a category-defining company during a significant phase of growth.
Unsure of your next step? Reach out.
At Lawrence Harvey, we recognise that navigating the job market can be daunting. Whether you're an experienced professional seeking a fresh challenge or starting your career, our team of dedicated tech recruitment specialists are here to assist you. With our vast network of industry contacts and thorough understanding of the tech landscape, we can offer guidance and support to help you discover the ideal opportunity.