We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities - Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). - Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. - End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. - LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. - AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. - Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. - Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements - BSc in Computer Science, Mathematics, or related field. - 5+ years of professional experience working on AI/ML projects. - Good command of English and Arabic (written and spoken). - Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). - Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. - Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. - Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. - Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications - Knowledge of C++ or C# for performance-critical modules. - Experience deploying models via Docker, Kubernetes, or cloud AI services. - Exposure to vector databases and RAG workflows. - Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). - Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). - Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) - Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. - Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. - Familiarity with modern data lake architectures and scalable data storage concepts.

Title: GMT Scaffold Tech (Rotational Schedule) - Prudhoe Bay, AK Location: Prudhoe Bay United States Job Description: Requisition ID PRU0131 Reporting Location Alaska Job Field (Function / Discipline) Scaffolder Primary Location Prudhoe Bay, Alaska, United States This is a remote/ rotational position, in Prudhoe Bay, AK. The typical schedule is 84 hours per week (40 hours straight time and a minimum of 44 hours at time and a half). All meals and lodging are provided by Worley while the employee is on location. Transportation between Anchorage and Prudhoe Bay is provided. Worley offers a competitive benefits package, with company paid short-term disability, life insurance, paid sick leave, and 4.5% employer match on 401k. Job Purpose: The GMT - Scaffold Tech performs craft level scaffold support in accordance with all safety, environmental and operational practices and policies and procedures. The GMT-Scaffold Tech performs duties under the supervision of Scaffold Lead associated with the erection and dismantling of various types of scaffold for use by other crafts. Essential Job Functions: - Construct, erect, maintain and dismantle scaffold per OSHA, ADOSH, and client specifications. - Use multiple scaffold systems including construction grade lumber and patented pre-manufactured scaffold components. - Provide coaching, mentoring in the craft of scaffolding to other crew members. - Willing to learn and develop skills in other craft areas to improve the crew’s performance. - Comply with specifications requirements in scaffolding and mechanical applications. - Performs many types of work, including but not limited to, scaffolding, light pipefitting, tank cleaning, light valve repair, Sheetmetal, insulation, and miscellaneous facility maintenance. - Examine work and materials for compliance with specifications. - Attend various technical, developmental and safety training. - Routinely performs safety and scaffolding component integrity inspections. - Demonstrate adherence to established safety policies and procedures and accept accountability for safe work practices. - Demonstrate support for the company’s environmental management system. Knowledge Skills and Abilities: - Knowledge of standard rigging procedures and OSHA requirement. - Knowledge of scaffolding techniques and procedures required, skill in erecting multi scaffold systems, with tube & clamp and Safeway scaffold systems. - Knowledge of various fasteners, hardware, materials, and other commonly used scaffolding components. - Knowledge of crane and hand signals. - Knowledge of OSHA and ADOSH scaffold specifications. - Ability to problem solve and come up with solutions to everyday maintenance issues. - Ability to lead and train others on scaffolding. - Ability to give and understand common hand signals and to safely connect to and lift equipment and materials. - Ability to read and interpret drawings and specifications as they pertain to scaffolding. - Ability to work comfortably at heights and adhere to fall protection policies and procedures. - Ability to work as part of a team; communicate effectively with fellow workers and alternate. - Operate vehicles (pickups, flatbed F-550 trucks) and other equipment (manlifts, material handling and etc). - Ability to perform strenuous physical labor in harsh winter conditions and hot environments. - Ability to work independently with minimal supervision. Physical Demand/Work Environment: Work is performed in a remote Arctic environment with limited medical resources. Candidate understands the site is approximately 840 miles (at least 4 hours by air ambulance) from surgical, specialist, and tertiary medical care, and where medical evacuation from this location may be significantly delayed due to weather conditions. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the essential functions of this job, the employee is required to: - Must have ability to stand, walk on level, uneven and slippery surfaces, sit, squat, kneel, crawl, reach through low and high ranges, work overhead, and exhibit normal balance and coordination. These basic physical requirements are essential for safe performance of the job in harsh environments with exposure to very cold temperatures and while wearing arctic gear. - Standing for prolonged periods of time. - Driving for prolonged periods of time in the dark and inclement weather - Ability to climb scaffold, ramps, stairs, equipment, portable ladders, and/or wellhouse/tank/facility fixed ladders of 20 feet or greater. - Ability to wear and utilize fall protection within manufacturer specifications. - Lift 50 lbs. from floor to waist with two hands. - Lift 50 lbs. from floor to shoulder with two hands. - Carry 50 lbs. for 15 feet with two hands. - Push/pull 60 lbs. sled for 20 feet. - Push/pull 90 lbs. cart for 20 feet. This job description is intended to describe the nature and level of work being performed by people assigned to this position. It is not to be construed as an exhaustive list of all responsibilities and duties required of the job incumbents. Worley provides reasonable accommodation to qualified individuals with disabilities, including both applicants and employees, to allow the individual to perform the essential functions of the job, unless doing so would create an undue hardship. In-Vehicle Monitoring System: As part of our commitment to safety and accountability, company vehicles are equipped with in-cab cameras and vehicle monitoring systems. These systems may record video and audio, as well as collect GPS location, vehicle speed, harsh braking, rapid acceleration and other driving behaviors. All data is subject to review by management to ensure compliance with company policies and safe driving practices. - One (1) year minimum experience as a competent scaffold builder. - Valid driver’s license and the ability to be insured by Worley auto insurer. - High school diploma or equivalent GED. - North Slope Training Cooperative (NSTC). Worley can provide NSTC certification training, if needed. Preferred Qualifications: - Two (2) years scaffold experience petrochemical, oilfield, or arctic experience. - Experience with other crafts, such as Sheetmetal, insulation, pipefitting, and valves. - Experience or previous employment with Worley. - Alaska resident capable of short notice mobilization. - Class B CDL. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Full Stack Engineer Department: Engineering Employment Type: Full Time Location: Remote (select US states) Compensation: $91,800 - $119,768 / year Description We are looking for a thoughtful, collaborative Full Stack Engineer to join our growing, distributed team at Coforma. Our Full Stack Engineers enjoy tackling complex problems while working with other members of our cross-disciplinary teams to deliver elegant products across a modern technology stack. They are skilled across the stack, building accessible applications that put people first with code that is clean, maintainable, well-documented, and well-tested. In this role, you'll work closely with researchers and designers early and often, collaborating to add perspective that increases understanding and empathy. As such, your passion for articulating technology solutions that aim to improve lives is a feature, not a bug. Join us to build software that makes an impact and implement human-centered solutions that we can be proud to say we worked on together. If you’re passionate about improving lives through digital products and services, Coforma is a great company for you. $91,800 to $119,768 Annual Salary + Benefits + Growth Potential Placement within this range will be based on the competency level of the candidate. An offer will be made at one of the following tiers: - Tier 1 - $91,800.00: Meets stated qualification and experience requirements. May need guidance and training beyond onboarding to perform the more complex functions of the role. - Tier 2 - $102,000.00: Experienced and fully competent. Will be able to independently perform key responsibilities of the role once onboarding is completed. - Tier 3 - $119,768.40: Highly experienced and can perform all responsibilities of the role at a higher level than expected once onboarding is completed. To honor our company-wide equitable pay system, the posted salary range and corresponding tier salaries are non-negotiable. This is a US-based remote position open to applicants in the states listed below. Some travel may be required. To ensure we remain compliant with all state, county, and local employment and tax regulations, applicants must currently reside in one of the following states to be considered for employment with Coforma. This list will be updated periodically as our People team works to open up hiring in additional states. - Arizona - California - District of Columbia - Florida - Georgia - Idaho - Illinois - Maine - Maryland - Massachusetts - Montana - Nevada - New Jersey - New York - North Carolina - Oregon - South Carolina - Tennessee - Texas - Virginia - Washington - Wisconsin What You’ll Do (Key Responsibilities) - Write and review code, ensuring high standards of quality, maintainability, and test coverage - Solve problems across the tech stack alongside other engineers on the team, building new systems and improving existing ones - Consistently apply best practices, including a focus on accessibility - Collaborate with team members and government/client stakeholders to craft creative solutions and build technology products that improve the lives of those in the communities they serve - Engage with coworkers across disciplines according to agile and scrum methodologies, including participating in planning, breaking down requirements into tasks, refinement, and estimation, etc. What You Know (Knowledge and Experience Requirements) - The building blocks of the web, including how to write accessible semantic HTML and how to write clean CSS that conforms to design systems - Open-source programming languages like JavaScript/TypeScript, Ruby, PHP, Python, Java, etc. - Frameworks, libraries, or runtimes like React, Rails, Node, Next, Drupal, Angular, Spring, etc. - Testing frameworks like Jest, Testing Library, Mocha, Playwright, Cypress, etc. - How to leverage the command line via shell scripting - APIs and databases of various types like SQL, Dynamo, Mongo, Postgres, etc. - Infrastructure tools like Terraform, Serverless, Amazon CDK, etc. - How to deliver polished, scalable, maintainable, performant code - How to communicate complex technical concepts to non-technical audiences - Agile and scrum development methodologies Preferred Qualifications and Experience - 4+ years of experience building applications with open-source programming languages - 4+ years of experience working with modern frameworks, libraries, or runtimes - 4+ years of experience working with APIs and databases of various types - 4+ years of experience working with infrastructure tools and Infrastructure as Code - Experience developing software in a remote environment - Experience in digital services, government, or federal consulting Other - Internet: Will prioritize and maintain access to strong, reliable internet for the remote nature of our work, except when on vacation or holiday. - Security: Will keep the highest security practices to ensure privacy and security of Coforma and client information, given the nature of our work, even when on vacation. - Travel Flexibility: On request and with advanced notice, will attend in-person events such as meetings, workshops, and trainings as assigned for projects that require it. - Brand Representation: Will represent Coforma professionally and sincerely, modeling our Company Values in all interactions.

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: - Business Insider named us an “enterprise startup to bet your career on” - Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world - Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America - Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking an Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration. This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly. - Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences. - Build scalable, production-grade backend services and REST APIs using Python. - Develop clean, performant, and reusable React.js components for modern web interfaces. - Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying. - Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications. - Lead architecture discussions and set engineering best practices across the stack. - Optimize application performance, scalability, and reliability across backend and frontend systems. - Mentor junior developers and contribute to a culture of engineering excellence. Requirements Qualifications / Experience / Technical Skills - Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise. - 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies. - Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines. - Proven experience developing production-ready frontend applications using React.js (or similar frameworks). - Deep knowledge of REST API design and integration patterns. - Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases. - Familiarity with integrating AI/ML models into applications (directly or via APIs). - Strong understanding of software architecture, scalability, security, and system design. - Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus. Soft Skills / Personal Characteristics - Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs. - Strong sense of ownership, accountability, and leadership. - Passion for AI and delivering impactful, data-driven software solutions. - Comfortable working in a fast-paced, collaborative, and iterative environment. - Willingness to mentor others and help raise the overall bar for engineering quality. (REQ ID: 2456)