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Metro location, mid-level generalist AI role, and broad skillset requirements increase candidate competition.
ML/AI engineering skills are transferable across industries but require domain and tooling familiarity, so moderate sensitivity.
Explicit 1–3 years requirement plus specific AI, cloud, and engineering skills yields moderate filtering.
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Design, develop, implement, unit-test, and document software components based on specifications.
Architect solutions, test code, build and deploy CI/CD pipelines for software products.
Provide work estimates and guide features or technical objectives for software engineering projects.
1-3 years of software engineering experience on complex projects.
Proficient in coding with Java, Python, .Net; experience with debugging and problem-solving.
Knowledge of software delivery lifecycle, version control (Git & GitHub), and data engineering tools (Pandas, Spark).
Bachelor's degree in Computer Science or related field, or equivalent practical experience.
Experienced in cloud AI platforms (AWS, Azure, Google AI) and distributed systems architectures.
Familiarity with Agentic AI Systems, RAG architectures, and multi-agent orchestration frameworks is a plus.
Comfortable working in fast-paced environments delivering customer-focused software solutions with ownership mindset.