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Tier-1 brand, generic Software Engineer title, mid-level experience, metro location, broad AI/backend skillset.
AI-native engineering and vector store experience limit transferability across non-AI industries.
Multiple explicit years requirements and mandatory AI/backend tech stack increase filtering stringency.
Lead and mentor a team of software and AI engineers, managing daily tasks, code reviews, and performance feedback.
Own end-to-end development and deployment of AI-native software, including testing, validation, and monitoring of AI and traditional components.
Collaborate cross-functionally to define AI-driven solutions and communicate progress, challenges, and results to stakeholders.
3-5 years of practical Java experience.
1-2 years hands-on experience with prompt engineering, prompt/agent scripting, and integrating third-party AI/ML services (e.g., OpenAI, Anthropic).
Proficiency in Python, Java, JavaScript; experience with cloud managed AI services (AWS Bedrock/SageMaker, Azure OpenAI, Google Vertex AI).
Bachelor's degree in computer science or related field; ML/AI coursework or experience is a plus.
Experienced in leadership roles managing individual contributors and setting quarterly goals in an AI software development environment.
Strong technical skills in AI-native software development, microservices, cloud infrastructure, and evaluation of AI outputs including hallucination checks.
Comfortable working with non-deterministic AI behaviors and complex distributed systems using modern development practices (CI/CD, Agile, test-driven, evaluation-driven).