JR and SR AI Developer
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Key skills for this role
Key Skills for This Role
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REQUIRED QUALIFICATIONS
- 3–5 years of software development experience, including hands-on work building AI-powered or GenAI applications.
- Solid programming skills — Python required; familiarity with JavaScript/TypeScript or a JVM language a plus — with sound software-engineering fundamentals (APIs, services, testing).
- Practical experience building GenAI/LLM features — RAG, embeddings and vector search, prompt/system design, and basic evaluation.
- Experience integrating models via APIs and model-serving platforms — exposure to Azure OpenAI and Databricks Model Serving / MLflow preferred.
- Familiarity with the modern data stack the pod uses — dlt (dltHub), dbt, and Dagster — on a Databricks lakehouse (Delta Lake); willingness to grow here.
- Experience with CI/CD (Azure DevOps / ADO preferred) and Git-based, test-supported development practices.
- Working knowledge of a cloud environment (Microsoft Azure preferred), including AI/OpenAI services basics.
- SQL and comfort working with data.
- Attention to evaluation, documentation, and secure, compliant handling of sensitive data.
- Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
PREFERRED QUALIFICATIONS
- Experience in financial services or insurance products (Life, Annuities, claims, servicing, or customer experience).
- Experience with agent and orchestration frameworks (e.g., LangChain, LlamaIndex, or Semantic Kernel) and vector stores (Databricks Vector Search or Azure AI Search).
- Front-end or full-stack experience delivering AI features into user-facing products.
- Familiarity with responsible-AI and evaluation tooling, and with bias/fairness and explainability considerations.
- Relevant certification such as Microsoft Azure AI Engineer Associate or a Databricks GenAI/ML credential.
REQUIRED QUALIFICATIONS
- 5–8 years of software development experience, including recent, hands-on work building AI-powered or GenAI applications.
- Strong programming skills — Python required; familiarity with JavaScript/TypeScript or a JVM language a plus — with solid software-engineering fundamentals (APIs, services, testing).
- Hands-on experience building GenAI/LLM applications — RAG, embeddings and vector databases, prompt/system design, tool/function calling, and structured evaluation.
- Experience integrating models via APIs and model-serving platforms — Azure OpenAI and Databricks Model Serving / MLflow preferred.
- Experience working with the modern data stack the pod uses — dlt (dltHub), dbt, and Dagster — on a Databricks lakehouse (Delta Lake).
- CI/CD experience with Azure DevOps (ADO) and Git-based, test-supported development practices.
- Working knowledge of Microsoft Azure — compute, storage, identity, and Azure AI/OpenAI services.
- Strong SQL and comfort working directly with data.
- Demonstrated attention to evaluation, documentation, and secure, compliant handling of sensitive data.
PREFERRED QUALIFICATIONS
- Full-stack or front-end experience delivering AI features into user-facing products.
- Familiarity with model risk and governance expectations in regulated settings.
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