Back
Tier-1 employer, mid-level experience band, and metro location amplify candidate competition.
LLM engineering is transferable, but enterprise security and Azure-specific integrations increase domain specificity.
Mandatory years plus required LLM, Python, Azure, and enterprise security skills create stringent filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain AI-powered applications and backend services using Python and modern AI frameworks including LangChain and LangGraph.
Build scalable, secure Large Language Model (LLM)-based solutions integrating retrieval-augmented generation, Azure OpenAI, enterprise APIs, and databases.
Collaborate across IT security, architecture, product, and DevOps teams to translate business requirements into enterprise-ready AI solutions, ensuring security, observability, and reliability.
Bachelor’s or master’s degree in Computer Science, Software Engineering, AI, IT, or equivalent practical experience.
Minimum 3 years professional software development experience, primarily using Python.
At least 1 year hands-on experience developing AI, LLM, generative AI, or retrieval-augmented generation solutions for production use.
Experience with Python, LangChain/LangGraph or similar, Azure OpenAI integration, relational databases (PostgreSQL preferred), and modern backend frameworks (FastAPI, Flask, or Django).
Experienced software engineer with solid AI application development skills focused on scalable, maintainable, and secure architectures.
Comfortable working in a multi-stakeholder enterprise IT security environment, collaborating with cross-functional teams.
Demonstrates practical expertise in evaluating, testing, and operating AI/LLM solutions in production with awareness of AI-specific security risks such as prompt injection and data leakage.