Sr Software Development Engineer , AXU

Key job responsibilities

• Design and build sophisticated AI agent systems that leverage LLM & SLM technologies.
• Arcitect scalable solutions using Amazon Bedrock's agent core technologies.
• Develop custom MCP servers.
• Create intelligent automation that transforms how our customers interact with AI.

Basic Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language experience.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience as a mentor, tech lead or leading an engineering team.
• Experience managing and deploying ML products.
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team.
• Experience working with Learning Management Systems (LMS) to track and measure training results and learning effectiveness.
• Advanced prompt engineering expertise (few-shot, chain-of-thought, ReAct, self-consistency techniques).
• Hands-on experience with MCP Tools and integrating agent frameworks.
• Strong knowledge of Amazon Bedrock's agents, guardrails, knowledge bases, and model evaluation capabilities.

Preferred Qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.
• Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab.
• Experience selling AI/ML solutions.
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with interrupt service routines.
• Experience in A/B testing.
• Experience with retrieval-augmented generation (RAG) using Amazon Bedrock Knowledge Bases and OpenSearch.
• Familiarity with multi-agent orchestration, workflow automation using AWS Step Functions and Bedrock Agents.