Deep Understanding of Agentic Systems Candidates must be able to confidently discuss: Memory management in agentic applications How agents: Maintain context……
The work involves developing back-end applications and front-end for internal tools. As a Software Engineer in the team, you will be partnering with product……
Execute well-defined user stories or technical tasks from design through deployment, validating with senior engineers to ensure adherence to the required……
Experience with object oriented and functional design patterns. Take full ownership of work outcomes including design, development, and testing; support and……
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Preferred (Nice-to-Have) Skills:…
You will design and build full-stack features end-to-end, write high-quality automated tests, support production systems, and collaborate daily with Product……
Participate in planning and technical discussions with engineering and product teams to help build the right solutions. Familiarity with gRPC or REST.…
Collaborate with cross-functional teams (front-end developers, DevOps, QA engineers) to support front-end integrations (payloads, data structures, validation),……
We are seeking a Systems Engineer with strong knowledge and experience in customer requirements gathering, system engineering design, HTML5 web development,……
Demonstrated affinity for and experience with agentic software engineering — either on the job or on your own time. Generous paid time off policies.…
Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks;……
In this role, you will design, develop, and maintain robust software applications that drive our business forward. Pay: $109,578.56 - $135,836.55 per year.…
Hands-on experience with RESTful API design & implementation; familiarity with API security practices like RBAC. Pay: $119,408.95 - $143,804.31 per year.…
Hands-on experience with RESTful API design, web development frameworks (React Express), and front-end technologies. Software deployment: 1 year (Preferred).…
Solid understanding of RESTful API design principles and implementation techniques. Design and implement RESTful APIs to facilitate efficient data exchange……
As a Senior Software Engineer, you will be part of the Engineering organization that is responsible for designing and developing all our user-facing products as……
The ideal candidate will design, develop, and maintain high-quality software solutions while collaborating closely with cross-functional teams.…
Collaborate with cross-functional teams to design RESTful APIs and integrate third-party services via APIs. Hands-on expertise with web development frameworks……
Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights……
Work within a collaborative Agile Scrum environment, the successful candidate will participate in all phases of the software development lifecycle, including……
Define and own enterprise automation architecture using Ansible and infrastructure-as-code principles. The Principal DevOps Engineer will act as the technical……
Need solid oral and written communication skills, especially in database design and programming concepts and methods. Digital and email online platforms.…
Coordinating with Nevco mechanical engineering, manufacturing, operations, service, and quality teams on all lifecycle aspects of these products.…
This individual will collaborate closely across mechanical, electrical, and software engineering disciplines to bring concepts from idea through prototype to……
Design, develop, and maintain high-performance Laravel applications in production environments. Assist in or own deployment workflows (CI/CD pipelines).…
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Job Description: This is NOT a traditional full stack or backend role anymore. ✅ Built end-to-end AI / agentic applications ✅ Understand what goes into an LLM, what comes out, and how to use it ✅ Can productionize AI systems (not just prototype) 2. Ability to Turn LLM Output into Action Key expectation: “Don’t just call an LLM — do something meaningful with the output” Candidates should demonstrate: Structured output handling Workflow orchestration Turning AI responses into usable application features 3. Productionization > Prototyping This is where candidates are currently falling short. Ross is heavily focused on: How AI apps are moved into production environments Understanding of: CI/CD in enterprise environments Deployment workflows Reliability & operational considerations ✅ They don’t have to build CI/CD pipelines themselves ✅ But must understand how production systems work at a high level 4. Deep Understanding of Agentic Systems Candidates must be able to confidently discuss: Memory management in agentic applications How agents: Maintain context Store/retrieve information Execute multi-step workflows