AI Solutions Engineer (Sales & Automation)
New
J
JobgetherTechnology
US, Standard U.S. business hoursContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonRESTful APIsPrompt EngineeringLLMMLOpsLangChainCRM
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical discipline.
- 5+ years of experience in software development, systems integration, automation, marketing technology, or AI-focused roles.
- Strong experience with CRM platforms, including workflow automation, data management, reporting, and system configuration.
- Proven experience integrating business applications using APIs, web services, middleware, or integration platforms.
- Hands-on experience with Large Language Models such as OpenAI, Claude, Llama, or similar AI technologies.
- Strong understanding of prompt engineering, AI application development, and AI agent workflows.
- Programming experience in Python with familiarity in AI, NLP, or machine learning frameworks.
- Experience with AI orchestration tools such as LangChain, LlamaIndex, Flowise, agent frameworks, or similar technologies.
- Familiarity with cloud platforms, MLOps/LLMOps practices, and deploying AI solutions in production environments.
- Strong analytical thinking, problem-solving abilities, and the ability to translate business requirements into technical solutions.
- Excellent communication, project management, and stakeholder collaboration skills.
Responsibilities
- Design, develop, and deploy AI-powered applications, intelligent workflows, and automation solutions using LLMs and modern AI technologies.
- Build and maintain integrations between CRM platforms, healthcare systems, business applications, and third-party tools through APIs, middleware, and automation platforms.
- Develop and optimize AI prompts, workflows, and agent-based solutions to improve accuracy, efficiency, and user experience.
- Configure and enhance CRM automation capabilities, including workflow creation, reporting, data management, and operational processes.
- Partner with marketing, sales, finance, customer service, and product teams to identify automation opportunities and deliver scalable technical solutions.
- Create dashboards, reports, and data models to measure performance, monitor KPIs, and generate actionable insights.
- Perform testing, troubleshooting, monitoring, and continuous improvement of AI solutions and system integrations.
- Maintain data quality, security, governance standards, and technical documentation across integrated platforms.
- Evaluate emerging AI tools, automation technologies, and industry best practices to recommend improvements.
- Provide technical guidance, training, and support to internal teams adopting AI and automation capabilities.
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