Systems Integrator

$140-155k base salary

Hybrid | Locations: Joplin, MO / Dallas, TX / Frederick, MD / Tuscaloosa, AL / Phillipsburg, KS | Up to 15% travel

I'm currently supporting a leading manufacturing organization on a search for a Systems Integrator to join their growing manufacturing technology team.

This is a newly created role focused on developing and integrating software systems across multiple manufacturing facilities. You'll play a key role in standardizing manufacturing technology, connecting plant-floor systems with enterprise applications, and driving automation initiatives that improve operational efficiency across the business.

This is a highly hands-on technical position suited to someone who enjoys solving complex problems, developing software solutions, and working directly with engineering, operations, and IT teams to modernize manufacturing systems.

Key Responsibilities:

• Design, develop, and maintain integrations between manufacturing systems, enterprise applications, and databases
• Develop software solutions using Microsoft .NET/C#, SQL, and REST APIs to automate and improve manufacturing processes
• Standardize systems, platforms, and integrations across multiple manufacturing facilities
• Troubleshoot integration and automation issues while identifying opportunities to improve reliability and performance
• Gather business requirements and translate operational needs into scalable technical solutions
• Partner closely with engineering, operations, and IT teams to deliver manufacturing technology improvements

Key Skills & Experience:

• 5+ years of hands-on software development and systems integration experience within manufacturing environments
• Strong experience with Microsoft .NET/C#, Microsoft SQL, and REST API development
• Experience with AVEVA System Platform/Wonderware is required
• Proven experience integrating manufacturing systems rather than PLC programming or controls engineering
• Strong problem-solving skills with the ability to work independently while collaborating across technical and operational teams

If you're looking to join a company investing heavily in manufacturing technology while owning enterprise-wide integration and automation projects, this is an excellent opportunity with long-term career growth.

Interested in this role? Apply now or send a copy of your resume to c.vancaeseele@lawrenceharvey.com.

About:

I'm partnering with a well-funded venture-backed startup that's building next-generation trading infrastructure and is looking to hire a Protocol Engineer to join its core engineering team.

This is an opportunity to work directly with the founders and help build ultra-low-latency systems powering quantitative crypto trading. The company has recently expanded into quantitative trading after successfully building infrastructure in the digital asset space and is now investing heavily in its core trading platform.

What You'll Do

• Design and build high-performance trading infrastructure in Rust.
• Integrate with centralized and decentralized exchange APIs.
• Build reliable, low-latency systems for real-time trading.
• Optimize performance across critical execution paths.
• Work closely with the founding team on architecture and technical direction.
• Help shape the engineering culture as the company scales.

What They're Looking For

• Expert-level Rust experience.
• Experience building low-latency, high-performance, or trading systems.
• Experience integrating with financial exchange APIs.
• Strong systems programming background.
• Ability to thrive in a small, fast-moving engineering team.

Staff / Principal Platform Engineer (Rust) — Fully Remote, US Citizens or Green Card Holders Only

A fast-growing, well-funded AI platform company is hiring a senior Rust engineer to help build out the data infrastructure powering their agentic AI platform. This one's for someone who wants to come into a system that's already in production, decide what's worth keeping and what needs a rebuild, and actually own that call.

You'll be working on the data management, ingestion, and integrations side of the house, think database schemas, data pipelines, microservices, and connectors, all built in Rust. There's also real crossover with the team building out agentic memory and orchestration, so if you've got an itch to work on cutting edge agent infrastructure, this is a rare seat to do it from.

The engineering culture here is genuinely engineering led. No top down roadmap dictation, teams propose what needs building and go build it. If that sounds like the kind of autonomy you've been chasing, keep reading.

What you'll need:

• Serious Rust experience, not just familiarity, ideally a few years deep at the systems level
• Comfort across high performance systems, distributed systems, and general feature/web work in Rust
• Strong database and data management background, this matters more than observability or QA tooling experience
• Experience building microservices and integrations that tie multiple data sources together
• The confidence to look at an existing system and say "this part stays, this part gets rebuilt" and back that judgment
• Startup experience where you owned technical direction is a plus

Eligibility: Must be a US citizen or green card holder and domiciled in the US, no visa sponsorship available (due to the nature of their clients). Fully remote across the US.

Compensation: $2-300k base DOE. Base salary plus pre-IPO equity.

• Staff Applied Machine Learning Engineer
• Remote (must be based in USA)
• Work Authorization: US Citizenship or Green Card required due to government contract requirements
• $230-280,000 base + Equity + Benefits 

About the Opportunity

Our client is a rapidly growing, venture-backed AI company building secure, enterprise-grade AI solutions for highly regulated industries. Their platform helps organizations unlock the value of complex data by embedding AI into mission-critical workflows, improving decision-making, operational efficiency, and knowledge discovery.

As the company continues to scale, they are investing heavily in next-generation AI capabilities, including search, knowledge exploration, semantic reasoning, and agentic AI. This is an opportunity to join a high-caliber engineering team tackling technically challenging problems at production scale while helping shape the future direction of the platform.

The Role

As a Staff Applied Machine Learning Engineer, you will design, build, and deploy advanced machine learning solutions that power intelligent search, knowledge exploration, and AI-driven workflows.

You'll work closely with product, platform, and engineering teams to develop production-grade ML systems, combining strong software engineering fundamentals with expertise in modern AI techniques. This is a highly technical individual contributor role with significant ownership and influence over architectural decisions.
 

Responsibilities

• Lead the design, development, and deployment of machine learning models for large-scale production systems.
• Design and build intelligent search and knowledge exploration capabilities using modern ML techniques.
• Develop systems involving knowledge graphs, semantic representations, and advanced entity understanding.
• Collaborate with engineering and product teams to deliver end-to-end machine learning solutions.
• Evaluate model performance, runtime efficiency, and scalability in production environments.
• Communicate technical decisions, trade-offs, and recommendations to both technical and non-technical stakeholders.
• Build high-quality enterprise software while maintaining a fast pace of delivery.
• Take ownership of projects from design through implementation, deployment, and ongoing support.
• Troubleshoot and support distributed production systems.
• Stay current with advances in AI and machine learning and apply emerging techniques where appropriate.

Required Qualifications

• US Citizenship or Green Card required.
• Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field. A PhD is strongly preferred.
• 10+ years of experience building and deploying production machine learning systems.
• Strong background in Natural Language Processing (NLP), information retrieval, or semantic search.
• Experience designing and supporting knowledge graph or semantic representation systems.
• Proven experience building and deploying Agentic AI systems, including orchestration, tool use, reasoning workflows, and context management.
• Strong software engineering skills with experience building scalable distributed systems.
• Experience working with production ML systems throughout their lifecycle.
• Excellent communication and cross-functional collaboration skills.
• Experience leveraging modern AI tools to improve engineering productivity.
• Demonstrated curiosity, adaptability, and a continuous learning mindset.

Preferred Qualifications

• PhD in Computer Science, Machine Learning, Artificial Intelligence, NLP, or a related discipline.
• Experience working in startup or high-growth environments, particularly building 0→1 products.
• Familiarity with Kubernetes and cloud-native infrastructure.
• Experience integrating machine learning models into large-scale enterprise platforms.

Why Join?

• Join a fast-growing, well-funded AI company solving complex real-world problems.
• Work on cutting-edge technologies including Agentic AI, NLP, search, knowledge graphs, and semantic reasoning.
• Collaborate with an experienced engineering team that values technical excellence, ownership, and innovation.
• Competitive compensation and meaningful pre-IPO equity.
• Fully remote position within the United States.

IT Business Partner – Digital Workplace (Contract)

We are seeking an experienced IT Business Partner – Digital Workplace to join a large-scale business transformation programme. This role will act as the strategic interface between business stakeholders and the IT function, ensuring strong alignment, transparency and collaboration across digital workplace services.

The successful candidate will build trusted relationships with senior stakeholders, help shape business demand, and ensure services are represented as an integrated capability rather than individual technology solutions. The position is focused on governance,
stakeholder engagement, service management and business relationship management, rather than hands-on technical delivery or product ownership.

Contract Details

• Contract: Full-time
• Location: Hybrid (on-site attendance required in line with client policy)
• Language: English
• Rate: Competitive (DOE)
• Start Date: ASAP
• Contract Length: 12 Months 
  

Key Responsibilities

• Act as the primary relationship manager for key business stakeholders, building long-term partnerships between business and IT.
• Understand business priorities, challenges and objectives, translating these into structured demand for technology teams.
• Support business stakeholders through demand intake, prioritisation and portfolio governance processes.
• Manage stakeholder expectations by providing clear communication around delivery timelines, priorities and trade-offs.
• Maintain an end-to-end view of the stakeholder experience across multiple digital workplace services, identifying opportunities for improvement.
• Work closely with Product Managers, Product Owners and wider technology teams to resolve cross-functional challenges.
• Support business change initiatives, organisational transformation and technology adoption programmes.
• Take ownership of stakeholder-facing escalations, ensuring issues are managed through to resolution with the appropriate delivery teams.
• Maintain visibility of service agreements, governance processes and business commitments.
• Support the development, review and continuous improvement of Service Level Agreements (SLAs).
• Identify opportunities to improve service governance, processes and operational performance.
• Provide transparency around IT service costs, consumption, budgeting and financial governance.
• Facilitate effective communication between business and IT on both service and financial matters.

Required Experience

• Previous experience in an IT Business Partner, Business Relationship Manager or similar stakeholder-facing IT role.
• Strong background in IT service management and stakeholder engagement.
• Proven ability to build trusted relationships with senior business leaders.
• Experience managing business demand, priorities and stakeholder expectations.
• Understanding of product-led or portfolio-based delivery environments.
• Excellent communication skills, with the ability to explain technical concepts in a business-friendly manner.
• Experience managing difficult stakeholder conversations and balancing competing priorities.
• Knowledge of service governance, SLA management and operational service frameworks.
• Strong analytical and problem-solving skills with the ability to identify recurring service issues.
• Experience managing escalations through to successful resolution.
• Good understanding of IT financial governance, service costing and budget management.

Desirable Experience

• Experience working within large enterprise or global organisations.
• Exposure to Digital Workplace or End User Computing services.
• Knowledge of IT governance, portfolio management and service management best practices.
• Experience supporting business transformation or organisational change initiatives.
• Experience working across complex, multinational business environments.

Candidate Profile

You are a commercially aware IT relationship manager who enjoys working with both business and technology stakeholders. You excel at building trust, influencing senior leaders and creating alignment across complex organisations. Comfortable operating in fast-paced transformation environments, you combine excellent communication skills with a strong understanding of IT governance and service management.