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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist role in metro with broad GenAI skillset increases applicant competition.
GenAI and ML skills transferable, but enterprise banking and compliance emphasis raises domain specificity moderately.
Explicit 4+ years plus many specific GenAI, cloud, and tooling requirements increases shortlisting stringency.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and deliver moderately complex software engineering initiatives, including design, coding, testing, debugging, and documentation.
Lead projects and provide technical guidance to less experienced staff, acting as an escalation point for resolving technical challenges.
Collaborate with peers and mid-level managers to meet client needs and contribute to large scale strategic planning within the technical domain.
Minimum Requirements
Minimum 4+ years of software engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
Proficiency in programming with Python, JavaScript, AJAX, jQuery, Angular/React, and AI/ML frameworks such as LangChain, LangGraph, TensorFlow, PyTorch.
Experience with Generative AI technologies such as Retrieval-Augmented Generation (RAG) and end-to-end pipelines involving Vector DBs, chunking, embedding, retrieval, and context injection.
Deep understanding of microservice architectures, cloud platforms (AWS, Azure, GCP), infrastructure-as-code, and CI/CD tools like Harness or Jenkins.
Ideal Candidate Profile
Experienced in developing and deploying scalable AI/ML solutions with practical knowledge of Generative AI pipelines integrating with enterprise data.
Strong technical leader comfortable managing moderately complex projects, resolving ambiguous requirements, and guiding team members.
Hands-on familiarity with agile development, DevOps practices, enterprise monitoring tools, and data science techniques suited for large scale data analysis.