Python Engineer

As a Senior Software Engineer focused on Agentic, LLM-powered applications, you will design, develop, and optimize intelligent systems and autonomous agents. You will work across the full stack of agent development-from prompt engineering and LLM integration to observability, orchestration, and cloud-native deployment. This role requires deep technical expertise with Python, modern LLM frameworks, and AWS services, along with hands-on experience building reliable, scalable AI-driven systems.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 & ExperienceDesign, develop, and maintain LLM-powered applications and autonomous agentsBuild agentic workflows and orchestration layers using LangGraph or similar frameworksImplement and refine prompt engineering strategies for reliability, safety, and performanceIntegrate and evaluate modern LLM models across providersDevelop agent observability using LangSmith, LangFuse, or equivalent toolsBuild and maintain MCP (Model Context Protocol) Server componentsCollaborate with cross-functional teams and participate in Agile ceremoniesDevelop backend services using AWS-native serverless and compute offeringsPerform peer reviews and contribute to engineering standards and best practicesNice to Have Skills & ExperienceBachelor's degree in CS or related field5+ years of professional software engineering experienceExpertise in Python and relevant LLM/AI librariesExperience with LangGraph or similar agentic frameworksDeep knowledge of LLM model integration and tuningHands-on experience with observability tools such as LangSmith or LangFuseExperience developing MCP ServersStrong knowledge of AWS services including Lambda, ECS, S3, DynamoDB, API GatewayStrong fundamentals in algorithms, distributed systems, and cloud-native designExperience building and consuming REST APIs and event-driven systemsExcellent communication, collaboration, and problem-solving skillsSelf-directed, ability to multi-task, sharp analytical abilities, excellent communication skillsDesired QualificationsExperience with vector databases and embedding pipelinesExperience with real-time or streaming platforms such as Kinesis or KafkaFamiliarity with containerization technologies such as DockerExperience with reinforcement learning or agentic evaluation frameworksResults-oriented, high energy, self-motivatedBenefit packages for this role will start on the 1st 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.