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Metro mid-level role at a known services firm with high GenAI demand, creating moderate applicant competition.
Strong domain and regulated-industry experience expectations limit cross-industry transferability.
Explicit 6+ years plus specialized GenAI, LLM, and platform skills create strict shortlisting filters.
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Lead design and development of Generative AI solutions using Large Language Models and related AI frameworks.
Implement semantic search, embeddings, and contextual grounding for enterprise AI platforms in regulated industries.
Build and maintain APIs, microservices, and integrations leveraging cloud platforms and containerized environments with CI/CD and DevSecOps practices.
6+ years of experience in software engineering, platform engineering, AI engineering, or enterprise application development.
Hands-on experience with Generative AI technologies including OpenAI/Azure OpenAI, Semantic Kernel, LangChain, vector databases, and AI orchestration frameworks.
Strong programming skills in Python with experience developing APIs, microservices, and integrations.
Experience working with cloud platforms (Azure, AWS, or GCP), containerized environments (Docker/Kubernetes), and knowledge of CI/CD pipelines and DevSecOps.
Has deep expertise in enterprise application integration and API-driven architectures tailored for AI solutions in regulated sectors like banking or healthcare.
Experienced with operationalizing AI models including ModelOps, AI evaluation frameworks, and governance practices.
Skilled in developing next-generation AI workflows such as agentic AI, multi-agent orchestration, and enterprise automation use cases.