Job Description
About the Role
We are seeking a highly skilled and innovative AI Agent Developer to support the development and deployment of intelligent, autonomous AI agents using cutting-edge technologies. This role is ideal for someone passionate about building agentic AI systems that leverage Google ADK, Vertex AI, and LangChain, and who thrives in a fast-paced, collaborative environment.
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Key Responsibilities
• Agentic AI Development: Design, build, and deploy multi-agent systems capable of autonomous decision-making, planning, and reasoning using frameworks like LangChain, LangGraph, and LlamaIndex.
• Vertex AI Integration: Utilize Google Vertex AI for training, deploying, and scaling LLMs and agentic workflows. Implement RAG pipelines and optimize model performance for enterprise use cases.
• Python Engineering: Develop robust backend services and ML pipelines using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Cloud Architecture: Architect and deploy scalable AI solutions across GCP, AWS, and Azure, integrating with enterprise systems and optimizing GPU clusters for performance.
• MLOps & Observability: Establish CI/CD pipelines, model registries, and monitoring systems to ensure reliability and maintainability of deployed agents.
• Collaboration & Leadership: Work closely with cross-functional teams including data scientists, product managers, and QA engineers to deliver high-impact AI solutions
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Required Qualifications
- 7 years required of industry experience within a siftware engineering position
• 3+ years of experience in AI Engineering with a focus on agentic systems.
• Proficiency in Python and frameworks like LangChain, LangGraph, LlamaIndex, and Autogen.
• Hands-on experience with Google ADK and Vertex AI Agent Engine.
• Experience deploying LLMs and RAG-based architectures in production.
• Strong understanding of NLP techniques, reinforcement learning, and prompt engineering.
• Familiarity with cloud platforms (GCP preferred) and containerization tools (Docker, Kubernetes).
• Excellent problem-solving, communication, and collaboration skills.
Nice to Have Skills & Experience
• Knowledge of semantic reasoning, explainable AI (XAI), and multi-agent coordination.
• Background in healthcare, finance, or legal domains is a plus.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.