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Mid-level, specialized GenAI role at a mid-tier firm with hybrid work, moderate applicant competition.
High — specialized GenAI and LLM expertise limits transferability outside AI-centric roles.
Explicit years plus mandatory GenAI skills and stack create strict technical filters.
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Design, develop, and deploy generative AI applications using LLMs, RAG pipelines, and AI orchestration frameworks.
Develop reusable prompt templates, optimize LLM outputs, and integrate vector databases for knowledge retrieval solutions.
Build and maintain scalable RESTful APIs and microservices exposing AI capabilities, ensuring security and performance.
Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field.
3–6 years of software development experience, including 1–2 years focused on Generative AI solutions.
Proficiency in Python, AI development frameworks, and experience with LangChain or similar orchestration frameworks.
Experience with LLMs, prompt engineering, RAG architectures, vector databases, and API/microservices development.
Experienced in end-to-end AI application development lifecycle from prototyping to production deployment.
Capable of translating business requirements into scalable AI features and reusable AI software components.
Skilled in prompt engineering, AI workflow orchestration, and integrating advanced knowledge retrieval systems.