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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level GenAI role with broad LLM, infra, and cloud requirements attracts high applicant competition.
Specialized GenAI production and LLMOps skills moderately limit cross-industry transferability.
Explicit 4-5 years plus mandatory LLM, IaC, and productionization skills create high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and operate secure, scalable Generative AI applications and reusable platform components aligned with company AI strategy and governance.
Engineer advanced LLM-powered AI solutions (e.g., Prompt Engineering, Retrieval-Augmented Generation) with a focus on security, scalability, performance, and user transparency.
Monitor and improve AI system performance, manage incidents/support, and maintain clear technical documentation across teams.
Minimum Requirements
Bachelor’s degree in computer science, engineering, or related field.
4-5 years of professional experience in application development, preferably AI/ML or backend services.
Strong proficiency with LLMs (Azure OpenAI, Anthropic, Gemini), Python, SQL, JavaScript/TypeScript, and cloud IaC tools like Terraform.
Experience in deploying scalable AI applications, implementing AI safety, observability, and governance mechanisms.
Ideal Candidate Profile
Experienced in enterprise AI application development with hands-on expertise in prompt engineering, AI search/RAG pipelines, and client-server APIs.
Capable of translating business requirements into production-ready AI solutions by collaborating cross-functionally.
Skilled in AI system trustworthiness: hallucination mitigation, explainability, monitoring, continuous improvement in production environments.