Collaborate with the software development team to design and prototype agentic AI-based solutions
Implement autonomous agent behaviors for workflow automation, decision support, and network optimization
Leverage frameworks and tools for agent orchestration, reasoning, and multi-agent collaboration
Integrate AI agents with APIs, data pipelines, and backend systems
Conduct experiments and performance evaluations of AI-driven workflows
Document designs, test results, and technical findings to share with the team
Participate in Agile/Scrum ceremonies and collaborate using modern DevOps tools

Requirements

Current enrollment in a Bachelor’s or Master’s program in Computer Science, Software Engineering, Artificial Intelligence, or related field
Strong programming skills in Python, JavaScript/TypeScript, or similar languages
Understanding of AI fundamentals, including LLMs, planning algorithms, and reinforcement learning
Hands-on experience with agentic AI concepts, such as autonomous agents, tool use, memory management, or multi-step reasoning
Familiarity with frameworks like LangChain, OpenAI API, Hugging Face Transformers, or similar
Familiarity with Model Context Protocol (MCP) Servers and Concepts
Experience working with APIs, JSON data formats, and RESTful services

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaScriptTypeScriptAI fundamentalsLLMsplanning algorithmsreinforcement learningagentic AI conceptsautonomous agentsmulti-step reasoning

Soft Skills

collaborationcommunicationdocumentationteamworkproblem-solvingadaptabilityparticipation in Agile/Scrumperformance evaluation