AI Agent Functional & Behavioral Testing

@hareshfinadiya

Hi, I am Haresh, having 14+ years of experience in Software Testing Industry. - Having unique blend of knowledge in Quality Product Delivery, Processes Management, Functional testing, Integration and regression testing, load and Perfromance Testing which help me to take the Quality of the software to the next level. - Hands on experience on testing Desktop, Web Based, Mobile application and ERP based application. - Hands on experience on automation testing tools on selenium webdriver, jmeter, katalon studio, Appium, cypress, selenium with TestNG freamwork etc.. - Thorough understanding of Product Delivery Life Cycle, Software Testing Life Cycle and Software Development Life Cycle. - Experience in Well conversant with writing Test plan,Test Cases,Bug report, Release Note and Product Health Report. - Worked in various domains like Finance, Retail, Web Portals, Healthcare, ecommnerce, CMS, Eduction Portal, Life Insurance, ERP system etc. - I do have require mobile devices to test mobile view or applications like android and iOS applications. - I have hands on experience with Git, postman, MSSQL Server. Kindly review my profile and let me know you view over the same. Thanks, Haresh

@Techroj

Dear Client, Greetings!! I have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands-on experience on python, AI/ML, Data Science, software building, etc. Lets discuss briefly over a chat and start immediately. Also,I have been coding on Machine Learning and Data Science with python from past 7 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan

@bgourav5

Yes, I confirm that I am comfortable with and fully aligned to the responsibilities outlined in the JD. I have experience testing AI/LLM-based systems across multi-step workflows, validating agent behavior, tool/function calling, memory and context handling, and failure scenarios. I am comfortable evaluating reasoning quality, hallucination risks, prompt-injection/jailbreak attempts, and ensuring compliance with safety and ethical constraints. I can design structured manual and automated test cases, maintain evaluation datasets, analyze logs and traces, and collaborate with ML and engineering teams to continuously improve agent accuracy, reliability, and robustness.

@himanshus642

As an experienced AI and Full-Stack Engineer with 5+ years of hands-on experience, I bring strong expertise in building AI-powered systems, automation workflows, and scalable applications—well aligned with your AI agent functional and behavioral testing requirements. I have practical experience with LLM-based chatbots, OpenAI integrations, and RAG systems, enabling me to analyze complex decision paths and multi-step agent workflows. Additionally, my knowledge of observability tools (traces, logs, replays) along with security and safety testing allows me to effectively evaluate agent behavior across diverse scenarios. I prioritize clear communication, timely delivery, and well-documented outputs. Beyond testing, I provide actionable insights—refining prompts, policies, and agent designs based on test failures—to improve reliability and reduce risk. I’m confident my analytical approach and technical depth will add tangible value to your project, and I’d be happy to discuss this further.

@keylor64

Dear Shobhit, I’ve thoroughly reviewed your project requirements for AI agent functional and behavioral testing. Your goal of ensuring robust agent delivery in various scenarios resonates with my expertise. I recently led a comprehensive testing project where I validated AI decision-making and safety compliance, enhancing performance significantly. A key challenge is ensuring consistency across sessions and memory states; I can implement strategies to tackle this effectively. I’m familiar with LLM frameworks and evaluation tools that align with your project needs. My commitment to quality results means I can start immediately and deliver on time. I’d love to discuss this further and explore how I can contribute to your project’s success. Best, Keylor Carmona

@jamesw501

Hi, Yes, I’m fully comfortable with the responsibilities and expectations outlined in the JD. I have hands-on experience testing AI/LLM-based agents across multi-step workflows, including behavioral validation, tool/function calling, memory and state management, and failure-mode analysis. I’m familiar with evaluating reasoning quality, hallucination risks, and safety/compliance constraints (including healthcare-sensitive contexts such as HIPAA), as well as identifying prompt-injection and unintended agent behaviors. I’ve designed and maintained automated evaluation pipelines with clear metrics (accuracy, latency, success rate, recovery), and I regularly use logs, traces, and conversation flows to debug and improve agent performance. I’m also comfortable curating test datasets, labeling failures, and working closely with ML, product, and engineering teams to iterate on prompts, policies, and agent architectures. Additionally, I have exposure to modern LLM frameworks (e.g., LangChain-style orchestration concepts), evaluation and red-teaming practices, and observability tooling for tracing and replay. Happy to discuss specifics of your agent stack, evaluation criteria, and success benchmarks. Best regards, James

@afreent29

Have been in ai hackathon and selected in top 10 for building a ui testing tool using ai and Gemini api , having exposure to ai and ai products I can help you with ai testing,prompt testing , I ll be Validating agent behavior under normal, edge, and failure scenarios Verify correct tool calling, API usage, and response handling Ensure consistency across retries, sessions, and memory states along with adhering to the security rules and regulation

@datahub0

Hello, Yes, I’m fully comfortable with this JD and have hands-on experience testing LLM-based and agentic systems end to end. I’ve validated multi-step agent workflows, tool/function calling, memory and state handling, and agent behavior under normal, edge, and failure conditions. I regularly design automated evaluation pipelines to measure accuracy, latency, success rate, and recovery, and I perform reasoning, safety, and jailbreak testing to reduce hallucinations and unintended actions—especially in regulated or privacy-sensitive contexts. I’ve worked with LangChain-based agents, prompt chaining, retrieval flows, and observability via logs, traces, and conversation graphs, collaborating closely with ML and product teams to turn failures into prompt, policy, or architecture improvements. I can set up repeatable test suites, red-teaming scenarios, and feedback loops that continuously harden agent behavior at scale. Are you looking for this role to focus more on automated evaluation at scale, or deeper manual red-teaming and safety validation of complex agent workflows?

@Sunansh

Hello, Yes, I’m fully aligned with the JD. I’m a QA Engineer with 4+ years of experience, including testing AI/LLM-based agents across multi-step workflows, reasoning paths, tool/function calling, and failure scenarios. I focus on behavioral correctness, safety, and consistency, not just happy-path validation. What I’ll cover: Functional & behavioral testing of agent workflows, retries, memory, and state Reasoning quality checks (logic, coherence, hallucinations) Prompt injection, jailbreak, and unintended autonomy testing Validation of tool/API usage and response handling Automated test flows with metrics (accuracy, latency, success/failure recovery) Clear failure analysis with actionable feedback for prompts, policies, and agent design I’m comfortable with prompt chaining, context & memory management, and collaborating closely with ML, product, and engineering teams to close gaps quickly. I can deliver structured reports and results within the proposed timeline. Regards, Sunansh Nagar

@dubeysuman222

I’m fully aligned with this JD and have hands-on experience testing AI agents beyond basic UI or CRUD validation. I specialize in functional and behavioral testing of AI agents across multi-step workflows, goal completion, and complex decision paths. I validate agent behavior under normal, edge, and failure scenarios, including incorrect inputs, missing dependencies, tool/API failures, retries, and session or memory inconsistencies. I also verify correct tool/function calling, response handling, and behavioral consistency across runs. On the reasoning and safety side, I evaluate logic quality, coherence, hallucination risk, and instruction drift. I actively test for prompt injection, jailbreak attempts, unintended autonomous actions, and compliance with policy and regulated-data constraints. I design and maintain structured test suites and evaluation metrics covering accuracy, success rate, latency, and failure recovery. I use logs, traces, and conversation flows to debug agent behavior and identify root causes, not just symptoms. I curate and maintain test datasets, label failures, and work closely with product, ML, and engineering teams to improve prompts, policies, and agent design. I have strong practical understanding of prompt chaining, tool/function calling, state, memory, and context management, with exposure to LLM frameworks, eval techniques, observability, and security-focused testing. Thanks, Suman

@prakashk923

With nearly a decade of experience in Quality Assurance and a strong track record of delivering high-quality software in complex and evolving environments, I am well-equipped to contribute to your AI Agent Functional & Behavioral Testing project. I bring solid expertise in functional testing across web and mobile platforms, along with hands-on experience evaluating agent reasoning, decision-making, and behavioral consistency. I have extensive experience validating agent behavior across normal, edge, and failure scenarios, identifying risks such as prompt injection, jailbreak attempts, unintended autonomous actions, and inconsistent outputs. My strong understanding of prompting and prompt chaining, combined with expertise in tool/function calling, state management, memory, and context handling, enables me to design and maintain reliable automated test suites tailored to complex agent workflows. I am highly detail-oriented, aligning closely with your goal of ensuring consistency across retries, sessions, and memory states. In addition, my experience with data curation and feedback loops allows me to maintain high-quality test datasets, analyze failures, and continuously refine prompts, policies, and agent designs to improve overall system reliability.

@Inshad10

Yes, I’m comfortable with the responsibilities outlined in the JD. I’m okay working across functional and behavioral testing of AI agents, including multi-step workflows, tool/function calling, state and memory handling, and edge/failure scenarios. I’m also comfortable evaluating reasoning quality, hallucination risk, safety and policy compliance (including HIPAA), and identifying prompt-injection or unintended behaviors. I’m fine designing automated evaluation suites, defining metrics (accuracy, latency, success/failure rates), and using logs, traces, and conversation flows to debug and improve agent performance. I can collaborate closely with ML, product, and engineering teams to iterate on prompts, policies, and agent design. Let me know the next steps.

@elsaa122

I specialize in ensuring AI agents perform flawlessly and safely. My approach focuses on measurable outcomes: higher accuracy, faster response times, and robust failure recovery. I design automated test suites, validate reasoning and compliance (HIPAA included), and optimize workflows for reliability. With experience in LLM frameworks and safety testing, I’ll help your agents achieve consistent success across complex scenarios. You will definitely want me on your side :)

@Iven01

Hi there, I’m an AI Engineer specializing in agentic AI systems and autonomous workflow automation, and I’d love to help you design and implement a fully autonomous AI agent ecosystem tailored to your business needs. Based on your requirements, I have hands-on experience building AI agents that: - Autonomously scan Gmail, extract intent, and sync structured data into Notion - Create tasks, reminders, and follow-ups without human intervention - Act as a Project Manager agent on Slack (tracking progress, deadlines, blockers) - Power outreach and sales agents using Slack, n8n, and LLM-driven reasoning - Coordinate multiple agents that communicate, delegate, and execute reliably Tooling Recommendations (Long-term & Scalable): Depending on your scale and security needs, I typically recommend: LLMs: GPT-4.1 / Claude / open-source (LLAMA-based) where applicable Agent Frameworks: LangGraph, CrewAI, or custom orchestration Automation: n8n for workflows + event-driven triggers Integrations: Slack, Gmail API, Notion API, Calendar APIs Memory & Context: Vector DB + structured storage (Postgres / Redis) Monitoring: Logging, retries, and human-in-the-loop where required I’d be happy to discuss your vision and propose a phased implementation plan. Best regards, Venkatesh AI Engineer | Agentic AI & Automation Specialist

@ethanf20

I don’t just complete tasks — I deliver clarity, polish, and measurable results. As an expert in AI agent testing, evaluation, and safety validation for over 4 years, I’ve tested LLM-driven systems across multi-step workflows, tool calling, memory/state handling, and failure scenarios. I’ve built automated test suites, defined evaluation metrics (accuracy, latency, recovery), and debugged agent behavior using logs, traces, and replay analysis. I’m fully comfortable with reasoning quality checks, hallucination risk, prompt injection, and policy/HIPAA-aligned safety validation, and I collaborate closely with ML and engineering teams to close gaps fast. Let’s make these agents reliable and safe.

@GameOfWords

AI Agent Functional & Behavioral Testing I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@priyankapancha59

es, I’m comfortable with the above JD and can support it end-to-end. I have hands-on experience testing AI/LLM-based agents across multi-step workflows, tool/function calling, memory, and context management. I can validate agent behavior under normal, edge, and failure scenarios, assess reasoning quality, hallucination risk, and safety/HIPAA compliance, and identify prompt injection or jailbreak issues. I design automated test suites, define evaluation metrics (accuracy, latency, success rate), and use logs, traces, and conversation graphs for debugging. I’ve worked with prompt chaining, agent frameworks, evaluation tooling, and cross-functional teams to improve agent reliability and safety.

@keaganhaynes14

I am a perfect fit for your project. Your need for comprehensive functional and behavioral testing of AI agents, including multi-step workflows and consistency across retries and memory states, aligns well with my expertise. I bring extensive experience in testing AI/ML systems with a strong focus on designing clean, user-friendly automated test suites that seamlessly integrate evaluation metrics for accuracy, latency, and recovery. While I am new to Freelancer, I have extensive real-world experience and have completed multiple projects off the platform. My skills include validating agent reasoning, compliance with safety standards like HIPAA, and identifying vulnerabilities such as prompt injection. Additionally, I am familiar with relevant frameworks like LangChain and tools for observability and security testing. Could you please share your preferred tools or frameworks for automation and evaluation in this project? I would love to chat more about your project! Regards, keagan

@djain879

Hi, Detail-oriented and results-driven Quality Assurance (QA) Engineer with 4 years of experience in manual testing across web and mobile applications. Skilled in identifying bugs, writing effective test cases, and ensuring high-quality software delivery in Agile environments. Proficient in functional, regression, integration, and user acceptance testing (UAT), with strong exposure to tools like JIRA. 1> Manual Testing & Test Case Design 2> Functional, Regression & UAT Testing 3> Bug Tracking (JIRA) 4> Mobile App Testing (iOS & Android) 5> SQL for Backend Validation 6> SFTP/File Validation & Log Analysis