Junior/Senior AI Developer

🔥 13 hours ago

🏈 Alabama, Nebraska – Remote

🏈 Alabama – Remote 🌾 Nebraska – Remote

💵 $90k - $140k / year

⏰ Full Time

🟢 Junior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Protective Life

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1908

💸 Finance

🛡️ Insurance

Finance • Insurance

Protective Life is a financial services company specializing in providing affordable life insurance and annuities. The company offers a variety of insurance products such as term life, whole life, and universal life policies, as well as fixed, immediate, indexed, and variable annuities. Protective Life assists individuals in planning for their future, including retirement, estate planning, and financial protection for families. The company emphasizes its commitment to sustainability, community involvement, and helping customers achieve protection and security throughout various life stages. Protective Life is known for its strong financial foundation and is licensed to operate in all states except New York.

📋 Description

• Build or design AI-powered application features and services on Azure Databricks and Microsoft Azure • Integrate large language models and machine-learning models into Voyager products • Implement GenAI capabilities including RAG, embeddings, vector search, prompt/system design, tool/function calling, and agentic workflows for senior roles • Develop and consume APIs and services exposing model capabilities to product surfaces • Apply evaluation harnesses, guardrails, and human-in-the-loop review • Work with dlt, dbt, Dagster, Databricks Lakehouse, and Delta Lake to source and prepare grounding data and features • Deploy and version models and prompts using MLflow and Databricks Model Serving • Write clean, tested, version-controlled code and ship through Azure DevOps CI/CD • Instrument AI features to monitor output quality, latency, drift, cost, and user feedback • Apply secure-by-default and privacy practices for sensitive customer and policyholder data • Collaborate with or partner with product managers, designers, data engineers, and the AI/ML Engineering Lead • Contribute to responsible-AI and governance practices through documentation and evaluation evidence • Seek and apply feedback; senior employees mentor less-experienced engineers and share reusable AI patterns

🎯 Requirements

• Junior: 3–5 years of software development experience, including hands-on work building AI-powered or GenAI applications • Senior: 5–8 years of software development experience, including recent, hands-on work building AI-powered or GenAI applications • Python required • Familiarity with JavaScript/TypeScript or a JVM language is a plus • Software-engineering fundamentals including APIs, services, and testing • Experience building GenAI/LLM applications, including RAG, embeddings, vector search/databases, prompt/system design, and evaluation • Experience integrating models via APIs and model-serving platforms • Familiarity or experience with dlt (dltHub), dbt, and Dagster on a Databricks lakehouse (Delta Lake) • CI/CD experience, preferably with Azure DevOps (ADO) • Git-based, test-supported development practices • Working knowledge of Microsoft Azure, including AI/OpenAI services • 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: financial services or insurance product experience • Preferred: agent and orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel • Preferred: vector stores such as Databricks Vector Search or Azure AI Search • Preferred: front-end or full-stack experience delivering AI features into user-facing products • Preferred: responsible-AI and evaluation tooling, bias/fairness, explainability, and model risk/governance familiarity • Preferred: Microsoft Azure AI Engineer Associate or Databricks GenAI/ML credential

🏖️ Benefits

• Comprehensive health, dental and vision insurance • Mental health benefits • Employee assistance program • Paid time off • Paid parental leave • Short-term disability • Cultural observance day • Contributions to healthcare accounts • Pension plan • 401(k) plan with Company matching • ProHealth Rewards wellbeing platform with cash rewards • Additional incentive opportunities through an annual incentive based on individual and Company performance