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High competition due to Tier-1 brand, metro location, popular AI role, and broad skill requirements.
Medium because core AI skills transfer broadly but agentic/enterprise and regulated experience increases domain specificity.
High due to explicit 7-9 years plus multiple mandatory AI frameworks, vector DBs, and API requirements.
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Design, develop, test, and support Python-based Generative AI and agentic applications with frameworks like FastAPI or Flask, focusing on REST APIs, asynchronous processing, and microservices.
Implement retrieval-augmented generation solutions with embeddings and vector databases and evaluate retrieval/model quality, contributing to multi-agent orchestration and agent tool integration.
Manage full development lifecycle phases including analysis, design, construction, testing, implementation, and support; enforce security controls and responsible AI practices; provide advisory and knowledge-sharing support to junior staff.
7-9 years of relevant software engineering experience.
Proficiency in Python application development with hands-on experience in FastAPI or Flask, asynchronous programming, automated testing, and Python packaging.
Experience with agentic/AI frameworks (e.g., LangChain, Google ADK), vector databases (e.g., PostgreSQL/pgvector, FAISS), and REST API/microservices design.
Bachelor's degree or equivalent experience.
Strong expertise in Python-driven AI solutions including generative and agentic systems within enterprise environments.
Ability to independently manage complex development projects with limited supervision and provide technical leadership or coaching.
Experience with AI-specific practices like retrieval-augmented generation, multi-agent orchestration, and responsible AI/security engineering likely to improve fit.