Junior AI Engineer

Accountabilities Develop AI-powered solutions: Design, build, maintain, and scale AI-driven tools, automations, and workflows that improve commercial operations and enhance team productivity. Automate business processes: Identify repetitive manual tasks and implement software solutions that reduce administrative workload, save time, and improve operational efficiency. Collaborate with business stakeholders: Partner with Commercial leadership, Sales, Product, and Operations teams to understand business needs, identify opportunities, and translate challenges into practical technical solutions. Optimize sales workflows: Improve processes across the sales lifecycle, including lead capture, qualification, conversion, opportunity management, quoting, follow-ups, pipeline visibility, and deal closing. Manage business applications: Configure, maintain, and optimize Salesforce and other commercial systems, adapting quickly to new platforms and evolving business requirements. Build reporting and applications: Develop dashboards, reports, and lightweight applications that support data-driven decision-making and provide actionable business insights. Support integrations: Connect business systems using APIs, low-code development tools, and workflow automation platforms to improve data flow and reduce manual intervention. Evaluate emerging technologies: Explore AI tools, large language models, AI agents, and automation platforms to identify opportunities for innovation and measurable business improvements. Maintain technical documentation: Document workflows, integrations, and solutions to ensure maintainability, scalability, and effective ongoing support. Continuously improve: Stay informed about advancements in AI and software development, share practical recommendations, and contribute to a culture of experimentation and operational excellence. Requirements Technical experience: Demonstrated experience building automations, AI-powered tools, scripts, applications, or other technical solutions that address real business problems. Programming skills: Comfort writing code in Python, JavaScript, or another modern programming language, with the ability to apply technical knowledge to practical challenges. AI and automation knowledge: Familiarity with large language models, AI agents, workflow automation, or modern AI tools such as ChatGPT, Claude, Gemini, or Microsoft Copilot. Systems and integrations: Understanding of business applications, APIs, system integrations, and automation platforms. Experience with CRM, ERP, or enterprise business systems is an advantage. Sales process knowledge: Understanding of lead management, lead-to-opportunity conversion, pipeline stages, and the activities that drive opportunities toward successful closure. Analytical problem-solving: Strong critical-thinking skills, attention to detail, and the ability to identify inefficiencies and develop effective, technology-driven solutions. Adaptability and learning: Ability to learn unfamiliar technologies quickly, work independently, and apply new knowledge to changing business needs. Communication and collaboration: Strong interpersonal skills and the ability to work effectively with both technical and non-technical stakeholders. Education: A bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field is preferred; equivalent practical experience is also valued. Relevant experience: Approximately 1–3 years of experience in software development, automation, AI solutions, or business applications is preferred. Additional technical assets: Experience with SQL, Python, JavaScript, Salesforce, or comparable technologies is beneficial. Familiarity with Salesforce CPQ, including pricing rules, product catalogs, quote templates, and approval workflows, is a plus. Work authorization: Must be authorized to work in the United States without employer sponsorship. Benefits Competitive compensation: Annual salary ranging from $60,000 to $70,000 USD , depending on job level, geographic location, incentive plan, and employment classification. Remote work opportunity: Work remotely within eligible US locations, subject to the company's hiring and location requirements. Career development: Gain hands‑on experience building AI-powered applications and automation solutions while developing expertise in emerging technologies. Technical growth: Explore modern AI tools, programming languages, integrations, and enterprise business systems in a practical business environment. Cross‑functional collaboration: Work alongside Commercial leadership and teams across Sales, Product, and Operations, gaining broad exposure to business strategy and operational challenges. Innovation-driven environment: Contribute ideas, experiment with new technologies, and develop solutions that deliver measurable improvements in productivity and decision‑making. Equal opportunity workplace: Join an environment committed to fair employment practices and equal opportunity for all qualified candidates. #J-18808-Ljbffr Jobgether SRL