Integration Engineer II - AI and Python Developer

Experteer Overview As an Integration Engineer II, you will hands-on develop and deploy cloud-native applications and AI-augmented features within an agile team. You’ll grow technically across the stack while collaborating with senior engineers to deliver AI-enabled solutions for clients. Your work focuses on practical use cases, MLOps practices, and production readiness. This role offers exposure to cutting-edge AI, multi-agent workflows, and responsible AI practices in a client-facing consulting environment. Compensation / Benefits * Support AI and emerging technology initiatives across business and technology teams * Work hands-on with AI/ML, Generative AI, and agentic AI solutions * Help develop and prototype AI use cases that solve real business problems * Evaluate and apply foundation models, LLMs, and modern AI frameworks * Contribute to RAG, memory systems, tool use, and function-calling patterns * Support multi-agent workflows and autonomous AI capabilities * Assist with AI experimentation, proof-of-concepts, and solution testing * Partner with data, engineering, and business teams to move AI solutions toward production * Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices * Communicate technical AI concepts clearly to both technical and non-technical audiences * Promote responsible AI practices, including ethics, governance and bias mitigation * Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions * Identify, diagnose, and resolve bugs and performance issues in development and production environments * Assist in breaking down technical requirements into well-scoped tasks and estimates Tasks * 4+ years of professional software engineering experience with hands-on experience in Python and ReactJS * 3+ years of full system lifecycle development experience * 1+ years’ experience in AI/ML, Generative AI, or advanced analytics * 2+ years’ experience in ML fundamentals and model evaluation * 1+ years’ experience in LLMs, prompt engineering, fine-tuning, and multimodel AI * 2+ years in a client-facing development role or equivalent external stakeholder engagement * Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI * 1+ years’ experience with vector databases, RAG, and tool/function calling * 1+ years’ experience with Cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus * Strong understanding of MLOps and CI/CD for AI solutions * Strong verbal and written communication skills in a team environment * Bachelor’s degree in computer science, Engineering, or a related discipline * Ability to travel up to 50% * Must be legally authorized to work in the United States without sponsorship Key requirements *

experimentation, proof-of-concepts, and solution testing * Partner with data, engineering, and business teams to move AI solutions toward production * Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices * Communicate technical AI concepts clearly to both technical and non-technical audiences * Promote responsible AI practices, including ethics, governance and bias mitigation * Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions * Identify, diagnose, and resolve bugs and performance issues in development and production environments * Assist in breaking down technical requirements into well-scoped tasks and estimates Tasks * 4+ years of professional software engineering experience with hands-on experience in Python and ReactJS * 3+ years of full system lifecycle development experience * 1+ years’ experience in AI/ML, Generative AI, or advanced analytics * 2+ years’ experience in ML fundamentals and model aaaaaa full * 1+ years’ experience in LLMs, prompt engineering, fine-tuning, and multimodel AI * 2+ years in a client-facing development role or equivalent external stakeholder engagement * Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI * 1+ years’ experience with vector databases, RAG, and tool/function calling * 1+ years’ experience with Cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus * Strong understanding of MLOps and CI/CD for AI solutions * Strong verbal and written communication skills in a team environment * Bachelor’s degree in computer science, Engineering, or a related discipline * Ability to travel up to 50% * Must be legally authorized to work in the United States without sponsorship Key requirements *