AI Developer
Job Title- AI Developer (Python / Generative AI)
Location- Cleveland, OH
Salary Range- 70k to 90k
Roles & Responsibilities
Assist in the development of AI/ML and Generative AI-based solutions using Python
Support building chatbots and conversational AI applications using NLP and LLM frameworks
Participate in designing basic conversational flows, prompt templates, and AI workflows
Assist in integrating AI models with APIs, databases, and enterprise systems
Support development of reusable components for embeddings, vector search, and AI pipelines
Assist in testing and monitoring AI models for performance (latency, quality, accuracy)
Support implementation of basic automation and scripting tasks for AI applications
Collaborate with senior developers on chatbot/voice bot solutions using speech APIs and chat platforms
Contribute to maintaining documentation for AI solutions, workflows, and system integrations
Qualification and Specialization
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
Basic understanding of:
Python programming
Machine Learning / NLP fundamentals
Generative AI concepts (LLMs, Chatbots – basic exposure)
Exposure (academic/project level) to:
APIs and web frameworks (Flask/FastAPI – basic knowledge)
Data handling and databases
Strong analytical, problem-solving, and communication skills
Unique Experience from this Role
Exposure to enterprise-grade Generative AI and LLM-based solution development
Opportunity to work on chatbot and voice bot implementations for a global banking client
Hands-on experience with emerging AI technologies such as prompt engineering and RAG concepts
Collaboration with cross-functional teams including AI architects, data engineers, and business stakeholders
Opportunity to learn real-world AI application deployment and integration in BFSI domain
Learning Outcomes from this Role
Develop foundational knowledge in AI/ML and Generative AI technologies
Gain hands-on experience in Python-based AI development and APIs
Learn chatbot and conversational AI design principles
Understand LLM basics, prompt engineering, and retrieval-based systems
Build knowledge of AI model testing, monitoring, and optimization concepts
Enhance problem-solving, coding, and stakeholder communication skills
Opportunity to grow into advanced roles such as AI Developer, Data Engineer, or ML Engineer