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<h3>Job Description</h3>
Dürr CTS (Clean Technology Systems) develops advanced environmental technologies to make industrial production cleaner, safer, and more efficient. Across all our product lines, Dürr CTS offers responsive, local, and skilled service teams, delivering customer-focused support in maintenance, troubleshooting, spare parts, and plant modifications.
 
Since November 1st, 2025, Dürr CTS has operated independently, with 1,300 employees across 12 countries. We provide reliable and innovative environmental technology solutions, helping customers worldwide meet their regulatory and sustainability goals.
 
Our Portfolio Includes: 
<ul>
<li>Air Pollution Control: thermal oxidation, sorptive processes, particulate matter separation</li>
<li>Noise Abatement: Silencer products, filtration, gas turbine inlet and exhaust systems by Dürr Universal</li>
<li>Decentral Power Generation: Organic Rankine Cycle systems with Cyplan® ORC</li>
</ul>
 
We serve a wide range of industries, including chemical, pharmaceutical, food, automotive, energy, surface coating, and many more, providing tailored solutions that help customers meet environmental regulations, reduce emissions, ensure operational reliability, and improve sustainability.
 
We're Looking for People Who:
<ul>
<li>Can be the face of our company to our customers</li>
<li>Love to travel and experience new work environments</li>
<li>Enjoy navigating challenges that require you to think on your feet</li>
<li>Have a high mechanical aptitude</li>
<li>Crave personal development and improvement</li>
</ul>
 
What We Do:
<ul>
<li>Durr Universal provides noise and environmental solutions to our customers. For more than 65 years, we have supported our customers through our design, manufacturing, and installation of acoustic and emissions systems. We work to continually improve our knowledge of our equipment, our customers' processes, and how the two interact.</li>
</ul>
 
Why We're in Business:
<ul>
<li>Durr Universal provides value-added solutions to our customers. We pride ourselves on the thoroughness of our pre-sale consultation and solution development, the quality and longevity of our equipment, and our best-in-class service from initial customer inquiry through the life of the equipment.</li>
<li>We seek long-term partnerships with customers that value our approach.</li>
</ul>
 
This position will oversee all activities of both Durr Universal internal and Field Service contractors and report on the performance of the department functions with appropriate personnel in the company. This position will require working with the Field Service Technicians, Project Managers, Sales, Engineering, 3rd party Contractors, and site customers to ensure overall contract requirements are successfully met for field service work, warranty repair, quality inspection, and technical supervision. This position requires travel from 70% to 90% to various potential customer sites to assist in quoting, supervision, auditing, inspection, etc. of dedicated Field Service Teams, along with assisting and overseeing field service project work scopes and related scopes. The Field Service Supervisor/TFA must plan, organize, direct, and manage the work of individual field service technicians and contractors in various field operations.
 
Essential Functions:
<ul>
<li>Put safety first in everything you do and help ensure our colleagues, customers, and business partners remain safe at all times.</li>
<li>Be the liaison between the customer, contractor, and Dürr staff</li>
<li>Assist in the installation of Dürr and other equipment</li>
<li>Manage all 3rd party subcontractors, ensure work is done safely, properly, and on time and in budget.</li>
<li>Work with site personnel and internal personnel on project issues and resolve them effectively.</li>
<li>Develop cost estimates and customer proposals for field installation projects.</li>
<li>Creation and deployment of mobilization schedules for the field service department.</li>
<li>Assist in equipment commissioning and documentation as required</li>
<li>Participate in contract reviews and kick-off meetings involving the field service scope of work.</li>
<li>Assist with parts procurement as needed</li>
<li>When required provide customer training on installed equipment</li>
<li>Provide equipment modular build support as required</li>
</ul>
 
Experience and Skills:
<ul>
<li>Must make safety a priority every day</li>
<li>AWS Certified Welding Inspector (CWI) is a plus</li>
<li>Painting and coatings certification/ experience is a plus</li>
<li>OSHA 10 or 30 Hour Safety Trained</li>
<li>Familiar with MS Word, Excel, and PowerPoint</li>
<li>Desire to travel</li>
<li>Ability to read and interpret engineering drawings and technical documents (i.e. layout, sectional drawings)</li>
<li>Excellent written and verbal communication skills</li>
<li>Desire to work hands-on in an industrial environment</li>
<li>Proven mechanical aptitude – including the use of various machining tools, welding equipment and methods, and various testing equipment</li>
<li>Demonstrated experience with installation and inspection of large steel structures (ducting and tall stacks, steel platforms) and their welding processes, inspection of welds, and industrial coatings</li>
<li>Working experience with safe lifting &amp; rigging methods</li>
<li>Fully capable with Microsoft Office software package</li>
<li>Flexible to adapt to same-day and next-day changes</li>
<li>Ideal candidate will have experience developing RFQ/RFPs for work that would be subcontracted to 3rd party vendors.</li>
<li>Experience with steel fabrication and custom equipment manufacturing.</li>
<li>Position can be located anywhere near a major airport</li>
</ul>
 
Dürr CTS, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We maintain a drug-free workplace and perform pre-employment drug and alcohol testing.
 
Note to all Staffing Agencies: Dürr CTS, Inc. has a team of dedicated Human Resources professionals who are responsible for all hiring needs. Our practice is to partner and work with our approved vendors on an as-needed basis. We do not accept resumes from agencies that are not on our preferred vendor list and have not signed our Recruiting and Permanent Placement Contract. Any resumes submitted from unapproved vendors will be considered unsolicited, and Dürr will not be obligated to pay a referral fee.

Field Service Technician- Durr Universal- Remote

<h3>Job Description</h3>
Role :: Lead Databricks Engineer
Location :: Houston, TX (Hybrid Onsite)
Duration :: Long Term Contract
USC Only 
Strong Databricks positions as below. One of these is old one but again refloating as we didn’t get quality profiles for that. None of them was qualified until now.
1. Lead Data Engineer – (Preferred Houston, weekly travel on a regular basis otherwise)
a. Relevant experience to be more than 8-9 years, Strong and proficient in Databricks, DLT (Delta Live Tables) framework and Pyspark, need excellent communication

USC Only :: Lead Databricks Engineer || Houston, TX (Hybrid Onsite)

<h3>Job Description</h3>
Senior / Staff Software Engineer
 
Location: San Francisco or New York City (Hybrid)
 
About the Role
Our client a leader within the enterprise MCP space is building the AI enablement layer for enterprises adopting Model Context Protocol (MCP) a platform that securely connects AI agents to internal tools with strong controls around permissions, observability, and auditability.
 
They’re looking for a Senior/Staff Engineer who can architect and ship core platform systems while working directly with enterprise customers. This is a high-ownership, early-stage role where you’ll build foundational infrastructure and help define how enterprises adopt MCP in production.
 
What You’ll Do
<ul>
<li>Design and build scalable backend and integration systems</li>
<li>Ship APIs and connect AI agents to enterprise tools and data</li>
<li>Solve real-world integration and data transformation challenges</li>
<li>Work directly with customers to gather requirements and iterate quickly</li>
<li>Own projects end-to-end, from design to production</li>
<li>Help set engineering standards and mentor teammates</li>
</ul>
 
What We’re Looking For
<ul>
<li>7+ years of hands-on engineering experience with system design</li>
<li>Strong background building API-driven, integration-heavy platforms</li>
<li>Experience in customer-facing or enterprise environments</li>
<li>Familiarity with AI/ML-powered systems or agent tooling</li>
<li>High agency, ownership mindset, and strong communication skills</li>
</ul>
 
Nice to Have
<ul>
<li>Experience with MCP or agent/tooling standards</li>
<li>Background in agent security, permissioning, and observability</li>
<li>Enterprise-scale platform experience</li>
</ul>
 
Why This Role
<ul>
<li>High-impact ownership in a small, fast-moving team</li>
<li>Direct influence on a cutting-edge AI standard</li>
<li>Real enterprise customers and production use cases</li>
<li>Fast, founder-led interview process</li>
</ul>

Senior/Staff Engineer - AI and MCP

<h3>Job Description</h3>
Senior Data Centre Field Engineer – Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C
Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites.
This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards.
 
Role Overview
As a Senior Data Centre Field Engineer, you will:
<ul>
<li>Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard.</li>
<li>Pull, terminate, and test Cat6/6a and fibre structured cabling systems.</li>
<li>Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required.</li>
<li>Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling.</li>
<li>Install and test Wireless Access Points, ensuring high-quality terminations and documentation.</li>
<li>Partner with internal teams or local field engineers on complex, multi-site deployments.</li>
<li>Mentor and support less experienced colleagues, sharing best practices and technical knowledge.</li>
<li>Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases.</li>
<li>Provide as-built and redline documentation updates to ensure engineering records remain current and accurate.</li>
<li>Conduct post-project reviews, sharing lessons learned to continually improve delivery quality.</li>
<li>Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early.</li>
<li>Stay current with emerging network technologies — routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling.</li>
<li>Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships.</li>
</ul>
 
Required Skills &amp; Experience
<ul>
<li>5+ years’ experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator).</li>
<li>Proven expertise in structured cabling, including fibre and copper installation, testing, and certification.</li>
<li>Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools.</li>
<li>Ability to read and interpret MOPs, cable run lists, patch plans, and schematics.</li>
<li>Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments.</li>
<li>Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning.</li>
<li>Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation.</li>
<li>Excellent customer-facing, communication, and documentation skills.</li>
<li>Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects.</li>
</ul>
 
Certifications &amp; Education
<ul>
<li>Cabling certifications (e.g., CNCI, BTEC, City &amp; Guilds, BICSI) desirable.</li>
<li>CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred.</li>
</ul>
 
Contract Details
<ul>
<li>Location: Bay Area, CA (frequent international travel required)</li>
<li>Contract Type: 12-Month Contract (1099 or C2C)</li>
<li>Client Type: Technology Consultancy</li>
<li>Start Date: ASAP</li>
<li>Compensation: Competitive day rate, based on experience</li>
</ul>
 
If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

Senior Data Centre Field Engineer

<h3>Job Description</h3>
Drive high-performance software delivery across our global engineering organization!
 
RESPONSIBILITIES:
<ul>
<li>Lead hands-on technical execution through daily code reviews, PR validation, and architectural guidance across frontend and backend systems.</li>
<li>Ensure code quality, performance, test coverage, and maintainability while refactoring legacy code into scalable, modular designs.</li>
<li>Diagnose and resolve CI/CD build failures, test regressions, and deployment issues to maintain release reliability.</li>
<li>Operate across a modern full-stack environment (Angular, TypeScript, .NET/C#, Node.js, SQL Server, Cosmos DB, Databricks, Azure).</li>
<li>Own sprint execution, backlog health, delivery velocity, and defect management across globally distributed teams (US, LATAM, other regions).</li>
<li>Standardize agile rituals and delivery practices to ensure consistent execution, release readiness, and cross-time-zone alignment.</li>
<li>Define, track, and act on delivery KPIs including PR throughput, test automation, defect resolution time, velocity, and capacity utilization.</li>
<li>Partner cross-functionally with QA, Product, Data Science, and DevOps to ensure technical feasibility, test alignment, and deployment stability.</li>
<li>Champion AI-augmented engineering practices, leveraging AI tools for test generation, performance benchmarking, productivity analysis, and automated reporting.</li>
<li>Provide technical leadership and people management through mentoring, performance improvement, hiring, onboarding, and fostering a culture of ownership and continuous improvement.</li>
</ul>
 
This is a direct-hire opportunity in Atlanta. Work onsite the first 5-6 months, then transition to a hybrid schedule of 3 days in the office with 2 days remote (flex days). 
 
REQUIRED SKILLS:
<ul>
<li>8+ years of experience in software engineering or technical program management, with 3+ years in delivery leadership role in global SaaS and high growth tech companies.</li>
<li>Strong coding background with ability to review, debug, and optimize production code.</li>
<li>Deep familiarity with modern web and cloud-native architectures.</li>
<li>Experience with AI tools like GitHub Copilot, MS Copilot, or internal agentic systems.</li>
<li>Proven success in managing cross-functional delivery across Engineering groups and coordination with QA and DevOps.</li>
<li>Proficiency in GitHub, Azure DevOps, Harvest, and performance monitoring tools.</li>
<li>Excellent communication skills with the ability to influence across technical and non-technical stakeholders.</li>
</ul>
 
PREFERRED SKILLS:
<ul>
<li>Experience in high-growth, transformation-stage, or PE-backed SaaS companies.</li>
<li>Professional proficiency in Spanish (Bonus)</li>
<li>Exposure to AI agent orchestration, RAG pipelines, or intelligent automation frameworks.</li>
<li>Familiarity with performance testing, SLA enforcement, and observability practices.</li>
<li>Experience leading distributed teams across multiple time zones and cultures.</li>
</ul>
 
Must be authorized to work in the US. Sponsorships are not available.

Engineering Manager

<h3>Job Description</h3>
Forward Deployed Engineer (AI Infrastructure)
$80,000 – $120,000 + Equity + Benefits + PTO
San Francisco, CA – Onsite (6 days/week)
 
Are you an engineer who loves solving complex, real-world problems directly with customers? Do you want to work hands-on deploying cutting-edge AI infrastructure used by developers and enterprises around the world, whilst continuing to develop both your technical and client-facing skillsets.
 
This is a rare opportunity to join a profitable, fast-growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any large language model — from OpenAI and Anthropic to Mistral and Hugging Face — through a single, standardized API. The SDK eliminates vendor lock-in, supports caching, logging, streaming, and integrates seamlessly with frameworks like LangChain and LlamaIndex.
 
Founded in 2023 and already profitable with $2.5M ARR (targeting $10M by mid-2026), the company is looking for its first Forward Deployed Engineer. someone who thrives at the intersection of customer success, engineering, and systems design. You’ll work closely with customers to deploy, optimize, and troubleshoot the platform in production environments while shaping the product roadmap based on real-world insights.
 
You’ll report directly to the CTO and operate as a key technical partner to clients, ensuring smooth integrations, rapid debugging, and performance tuning across infrastructure, backend, and frontend layers. Expect deep technical ownership, customer-facing impact, and the chance to build the foundation of a company defining AI interoperability.
 
If you want to join a tight-knit, high-caliber team where your code and customer instincts both matter, whilst continuing to develop your skillsets
 
The Role
<ul>
<li>Deploy, configure, and optimize customer environments for reliability, performance, and scalability.</li>
<li>Troubleshoot and resolve complex full-stack issues across infrastructure, backend (FastAPI/Python), and frontend (React/Next.js).</li>
<li>Collaborate directly with customer engineering teams on implementations, migrations, and custom integrations.</li>
<li>Act as the technical voice of the customer — building tools, contributing fixes, and feeding insights back to product and engineering.</li>
</ul>
 
The Person
<ul>
<li>Experience with production-grade full-stack systems.</li>
<li>Strong in Python and FastAPI; React/Next.js and TypeScript familiarity a plus.</li>
<li>Hands-on problem solver who enjoys debugging, building, and iterating directly with users.</li>
<li>Strong communicator who thrives in dynamic, customer-facing environments.</li>
<li>Excited to work in an early-stage, high-autonomy and feedback focused culture.</li>
<li>Happy to work on-site in San Francisco</li>
</ul>

Forward Deployed Engineer

<h3>Job Description</h3>
Senior AI Engineer - Video Search (Applied Research &amp; Product)
Remote - United States
 
About the Company
We’re partnering with a U.S-based applied AI company building next-generation real-time video understanding systems deployed at scale across enterprise, government, and public environments. The platform combines cutting-edge multimodal AI, vector search, and high-performance inference pipelines to make visual data searchable, interpretable, and actionable in real time.
 
This is a chance to join a well-funded, mission-driven organization with over tens of thousands of active camera streams and a rapidly growing R&amp;D team pushing the boundaries of multimodal retrieval and AI systems design.
 
The Role
We’re looking for a Senior AI Engineer to lead the applied research and productionization of our video search and retrieval stack - connecting natural-language queries to high-dimensional video representations with real-time performance.
 
You’ll work at the intersection of deep learning research, scalable systems, and GPU-optimized inference, owning models and pipelines end-to-end from training through deployment.
 
What You’ll Do
<ul>
<li>Design and build natural-language-to-video retrieval systems using state-of-the-art architectures (e.g., V-JEPA, CLIP, SigLIP, Video-LLMs, ViViT, TimeSformer).</li>
<li>Develop temporal localization and video summarization capabilities with fine-grained moment-level embeddings.</li>
<li>Stand up vector search infrastructure (FAISS, Milvus, pgvector, Pinecone) with optimized sharding, caching, and hybrid retrieval strategies.</li>
<li>Optimize GPU inference and serving pipelines using ONNX Runtime, TensorRT, or ROCm for low-latency performance.</li>
<li>Drive multi-GPU training and distributed serving (FSDP, ZeRO, DDP, NCCL/RCCL) with strong understanding of parallelization and quantization techniques.</li>
<li>Collaborate with MLOps, backend, and product teams to deliver production-ready AI features at scale.</li>
<li>Define and track key retrieval and relevance metrics (R@K, mAP, nDCG) and run live A/B evaluations.</li>
<li>Mentor junior engineers, document design decisions, and drive innovation through rigorous experimentation.</li>
</ul>
 
What We’re Looking For
<ul>
<li>6-10+ years of experience in machine learning or applied AI, with 4+ years focused on video understanding, multimodal retrieval, or transformer-based models.</li>
<li>Proficiency in PyTorch and deep learning frameworks; experience with video backbones, contrastive training, and representation learning.</li>
<li>Strong understanding of vector databases, ANN search (HNSW, IVF), and embedding pipelines.</li>
<li>Demonstrated ability to ship high-performance AI systems with GPU optimization, ONNX/TensorRT, or ROCm pipelines.</li>
<li>Experience with distributed training, CI/CD for ML, and scalable data pipelines (MLflow, W&amp;B, K8s, Docker).</li>
<li>Excellent communication skills and a collaborative, low-ego approach to problem solving.</li>
</ul>
 
Nice-to-Haves
<ul>
<li>Experience with temporal detection, video tracking, or re-ID.</li>
<li>Exposure to Video-RAG or structured retrieval (metadata + knowledge graph).</li>
<li>Background in real-time or edge inference systems.</li>
<li>Interest in privacy-preserving or regulated AI systems.</li>
</ul>
 
Compensation &amp; Logistics
<ul>
<li>Compensation: Competitive base salary + bonus + equity</li>
<li>Location: Fully remote (U.S. based)</li>
</ul>
 
Why Join
<ul>
<li>Build real-world AI that operates at scale and latency levels few companies ever reach.</li>
<li>Collaborate with world-class engineers and researchers in a fast-paced, mission-oriented environment.</li>
<li>Work on deep technical challenges - multimodal search, retrieval, inference optimization - with real-world outcomes.</li>
</ul>

Senior AI Engineer

<h3>Job Description</h3>
Senior Machine Learning Engineer - Multimodal AI, Trust &amp; Safety
 
Location: San Francisco, CA Bay Area or NY
 
*We are unable to sponsor at this time.⏰
 
&amp;#x1F4E2;New opening for a Senior ML Engineer to join a small but growing team within digital, gaming and streaming media. Opportunity to develop LLM across the organization and retrieval-augmented generation (RAG) frameworks for the greater good.
 
Summary:
<ul>
<li>You will be part of a world-class ML/AI team, developing machine learning models for content moderation and classification. Working cross-functionally to turn business challenges into AI-driven solutions.</li>
<li>Develop large-scale production ML models to solve online safety problems. Trust &amp; Safety, content Intelligence, content moderation, fraud detection.</li>
<li>Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams.</li>
<li>Create and apply NLP, LLM AI models for customer safety in text, voice, audio and image classification.</li>
<li>Analyze business use cases and identify areas where AI models may have predictive limitations or biases.</li>
<li>Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch.</li>
</ul>
 
Experience:
<ul>
<li>Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP.</li>
<li>Hands-on experience with generative AI models multi-modal AI</li>
<li>Expertise in applying machine learning models in a professional environment with large, complex datasets.</li>
<li>Expertise with Python, libraries pandas, scikit-learn, Jax, PyTorch and PySpark.</li>
<li>Familiarity with multimodal AI models combining text, image, and video data.</li>
<li>Passion for research publication, conferences (NeurlIPS, ICLR, ACL, ICML), AI research.</li>
</ul>
 
Education:
Master’s in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required)
 
Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $280,000, employee equity grant, and full employee benefits.

Senior Machine Learning Engineer (Trust & Safety)

<h3>Job Description</h3>
We are hiring for IT field service technician
Norfolk NE
9 months contract
Pay - $26/hr
Electro-mechanical and printer hardware support experience

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