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Generic mid-level AI engineer title, metro location, known brand, and common required skills raise competition significantly.
LLM integration, RAG, and vector-search engineering are transferable across industries but remain moderately specialized.
Explicit 3+ years plus mandatory AI/backend, LLM/RAG, and vector DB skills make shortlisting stringent.
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Design, develop, and deploy production-grade Generative AI solutions including RAG and agentic workflows integrated with customer-facing systems.
Build and maintain Python-based microservices and secure, scalable RESTful APIs focusing on performance and reliability.
Collaborate with cross-functional teams to translate business requirements into reliable, maintainable AI technical solutions and deliver against agile commitments.
Bachelor's degree in Computer Science, Engineering, or related technical field; Master's preferred.
3+ years of experience in software engineering with AI solution development.
Strong Python backend development skills with experience in REST APIs; FastAPI experience preferred.
Experience integrating Large Language Models using Azure OpenAI, Anthropic Claude, or OpenAI-compatible APIs.
Experienced in agile/scrum environments working closely with product managers, architects, and engineering teams to deliver AI-based backend solutions.
Proficient in building production-grade AI microservices focusing on scalability, security, and observability.
Strong background in data processing workflows, ETL pipelines (Pandas, NumPy), and integrating retrieval-augmented generation solutions.