Senior Software Engineer - Senior AI Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level metro role increases competition, but highly specialized GenAI/LLM skills moderate applicant density.
Core GenAI, Python, and data engineering skills transfer well, but enterprise finance context increases domain sensitivity.
Mandatory 4+ years, specific LLM, Python, data engineering, and vector DB skills enforce strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy enterprise AI and Generative AI solutions using LLMs, Agentic AI, RAG, and knowledge retrieval architectures.
Develop scalable Python-based applications, APIs, microservices, and data pipelines leveraging cloud-native and distributed processing technologies.
Contribute to AI/LLMOps frameworks, engineering best practices, and collaborate with cross-functional teams for secure and production-ready AI solutions.
Minimum Requirements
4+ years of software engineering experience, demonstrated through work experience, training, military experience, or education.
Proficiency in Python and experience developing enterprise-scale applications and distributed systems.
Experience with Generative AI solutions and LLM-based applications using frameworks like LangChain, LangGraph, and Retrieval-Augmented Generation.
Familiarity with cloud-native development, REST APIs, microservices, databases (SQL, NoSQL, graph), and modern software engineering practices including CI/CD and DevOps.
Ideal Candidate Profile
Experienced in building scalable AI-driven applications incorporating Generative AI, knowledge retrieval systems, and data engineering pipelines.
Skilled in designing and optimizing knowledge management systems with vector databases, semantic search, and information retrieval techniques.
Collaborates effectively across technology and business teams to deliver production-grade AI solutions, contributing to architecture and code quality.