Senior Software Engineer - Senior AI Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong brand, mid-level AI role, metro hiring, and broad GenAI skillset create high applicant competition.
Core GenAI and data engineering skills are transferable, though banking compliance and enterprise deployment add domain specificity.
Explicit 4+ years requirement plus specialized GenAI and data engineering skills increases screening rigor.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy enterprise AI applications and Generative AI solutions using LLMs, RAG, Agentic AI, and knowledge retrieval architectures.
Develop scalable Python-based applications, APIs, microservices, and data engineering pipelines with cloud-native and distributed processing technologies.
Contribute to engineering best practices, AI/LLMOps frameworks, and collaborate with cross-functional teams to deliver secure, production-ready AI solutions.
Minimum Requirements
Minimum 4 years of software engineering experience (or equivalent through training, military experience, education).
Proficiency in Python development and enterprise-scale application delivery.
Experience with Generative AI, including at least 1-3 years working on LLM-based applications and relevant technologies (e.g., GPT, LangChain, RAG).
Knowledge of cloud-native development, REST APIs, microservices, and data engineering using distributed platforms like Spark and Databricks.
Ideal Candidate Profile
Experienced in building production-grade AI applications integrating multiple generative AI and knowledge retrieval technologies.
Strong background in data engineering pipelines and scalable Python software for enterprise environments.
Comfortable working in collaborative, cross-functional teams contributing to architecture, code reviews, and AI/LLMOps production deployments.