FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
AI Developer
CINCO Engineering. Design, develop, test, and deploy AI-powered applications and intelligent automation solutions aligned with business requirements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI-powered applications and intelligent automation solutions, with strong capabilities in integrating Large Language Models and Generative AI into business processes. Proficient in secure software development practices and collaborative problem-solving with cross-functional teams.
Highest-signal resume keywords
Python ProgrammingLarge Language Models IntegrationAI Application DevelopmentREST APIs and JSONEnterprise AI Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentAI Application DevelopmentAutomated Workflow DevelopmentData AnalysisTechnical DocumentationDebugging and TestingSecure Software Development PracticesAI Agents ImplementationWorkflow OrchestrationCI/CD Pipelines
Soft Skills
Analytical SkillsProblem-Solving SkillsCollaborationCommunication Skills
Tools & Technologies
Azure OpenAIOpenAI APIAmazon BedrockLangChainPower AutomateUiPathMicrosoft AzureAWSDatabricksGitHub Copilot
Industry Keywords
PharmaceuticalBiotechnologyLife SciencesGxPComputer System ValidationData IntegrityAI Governance
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityPythonServiceNowSQL
About the role
Key responsibilities & impact- Design, develop, test, and deploy AI-powered applications and intelligent automation solutions aligned with business requirements
- Develop solutions leveraging Generative AI, Large Language Models (LLMs), and AI agents to support business processes and operational workflows
- Build and integrate AI capabilities with existing enterprise applications, databases, APIs, and automation platforms
- Develop automated workflows to reduce manual activities, improve process efficiency, and enhance data accessibility
- Evaluate and implement AI technologies using enterprise-approved platforms and tools
- Collaborate with business stakeholders to translate operational challenges into technical requirements and practical AI solutions
- Develop proof-of-concept (POC) solutions, prototypes, and scalable applications
- Implement AI-assisted document processing, information retrieval, data analysis, and workflow orchestration capabilities
- Establish testing, performance evaluation, monitoring, and documentation practices for AI solutions
- Ensure AI applications comply with applicable enterprise cybersecurity, data privacy, information governance, and responsible AI requirements
- Support deployment, troubleshooting, maintenance, and continuous improvement of implemented solutions
- Prepare technical documentation and provide knowledge transfer to business and technical teams
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related technical discipline
- Professional experience in software development, AI application development, or intelligent process automation
- Strong programming skills in Python and experience developing applications using APIs
- Hands-on experience integrating Large Language Models (LLMs) or Generative AI services into business applications
- Experience with REST APIs, JSON, databases, and enterprise system integrations
- Understanding of AI agents, prompt engineering, Retrieval-Augmented Generation (RAG), and workflow orchestration concepts
- Experience developing, testing, debugging, and deploying software applications
- Knowledge of secure software development practices, authentication, data protection, and access controls
- Strong analytical, problem-solving, and technical documentation skills
- Ability to work collaboratively with cross-functional business and IT teams
- Strong communication skills in English
- Experience with enterprise AI platforms such as Azure OpenAI, OpenAI API, Amazon Bedrock, or similar technologies
- Experience with AI development frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent tools
- Familiarity with Microsoft Copilot, GitHub Copilot, or enterprise AI development environments
- Experience with workflow automation and orchestration tools such as Power Automate, UiPath, or n8n
- Experience with cloud environments, including Microsoft Azure or AWS
- Familiarity with Databricks, SQL, or enterprise data platforms
- Experience implementing AI agents, RAG applications, document intelligence, or knowledge management solutions
- Experience integrating AI solutions with enterprise applications such as SharePoint, ServiceNow, SAP, or similar systems
- Knowledge of CI/CD pipelines, Git, application monitoring, and software deployment practices
- Previous experience in pharmaceutical, biotechnology, life sciences, or other regulated industries
- Familiarity with GxP, Computer System Validation (CSV), data integrity, and AI governance requirements
Benefits
Comp & perks- Hybrid work arrangement (on-site in Ohio, USA)
- Project-based / contract engagement