Job Summary

• Design, write program code, test, document, and implement functionally appropriate, technically sound, and well-integrated application systems in accordance with Customer requirements, organizational methodologies, and standards. Respond to production problems and implement immediate resolution efforts across technology areas.

Responsibilities

• Apply knowledge and skills of software development and testing effectively to solve a range of problems
• Work alongside other engineers on the team to elevate technology and consistently apply best practices
• Collaborate closely with customers and cross-functional departments to communicate project statuses and proposals
• Document each aspect of a system or application as a reference for future upgrades and maintenance
• Determine and assess the needs of the user and then create software to meet the requirements
• Identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills
• Work in an agile environment to deliver high-quality software
• Prepare and install solutions by determining and designing system specifications, standards, and programming
• Mentor junior members on the team
• Improve and expand technical capabilities by continuing their education thru reading, workshops, conferences, and/or communities of practice
• May perform other job duties as directed by Employee's Leaders
• Python software development and API development (3+ years)
• Strong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation
• AWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services
• SQL, data analysis, and database development
• Testing, troubleshooting, observability, telemetry analysis, and DevOps fundamentals
• Build AI-enabled platform capabilities supporting agent monitoring, evaluations, recommendations, and observability.
• Develop integrations across AgentCore, Amazon Q, Connect, observability platforms, and enterprise services.
• Contribute to AI product reliability while gaining hands-on experience building next-generation AgentOps capabilities.

Knowledge, Skills and Abilities

• Intermediate knowledge of software development methodologies, practices, concepts, and technologies obtained through formal training and / or work experience
• Ability to demonstrate consistent knowledge application, skills of software development, and testing to solve a range of problems
• Intermediate knowledge of at least one required programming language
• Ability to partner, communicate, and negotiate with various Technology or partner Teams
• Ability to analyze and manage large, complex, and vague Business or technical problems, articulating the problem or root cause, and translating the analysis into viable solution recommendations
• Ability to take on multiple assignments, whether administrative or project related, while maintaining a successful level of completion in all responsible work
• Ability to mentor others to do the same
• Ability to develop, present and effectively communicate ideas and strategies to a variety of audiences
• Python software development and API development (3+ years)
• Strong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation
• AWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services
• SQL, data analysis, and database development
• Testing, troubleshooting, observability, telemetry analysis, and DevOps fundamentals
• LangGraph, LangChain, CrewAI, AutoGen, or similar Agentic AI frameworks
• OpenTelemetry, Grafana, or monitoring platforms
• React, TypeScript, and dashboard development
• Machine Learning model development or MLOps experience

Education

• Required: Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training

Experience

• Required: Intermediate-level experience, fully functioning broad knowledge in software engineering
• 2-5 years of relevant work-related experience
• Python software development and API development (3+ years)
• Strong understanding of AI/ML concepts including LLMs, prompt engineering, embeddings, vector search, RAG, and model evaluation
• AWS development experience including Lambda, S3, CloudWatch, API Gateway, and event-driven services
• SQL, data analysis, and database development
• Testing, troubleshooting, observability, telemetry analysis, and DevOps fundamentals

Preferred Experience

• LangGraph, LangChain, CrewAI, AutoGen, or similar Agentic AI frameworks
• OpenTelemetry, Grafana, or monitoring platforms
• React, TypeScript, and dashboard development
• Machine Learning model development or MLOps experience

Other Qualifications

• Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
• Ability to work extended hours as needed
• Ability to work onsite approximately 3 days per week and as required by the business.