Athene is accelerating its AI initiatives to transform how it serves customers, agents, and business partners by applying Generative AI, Agentic AI, and Machine Learning to drive operational excellence and deliver innovative products.
Requirements
- Proficiency in Python, REST APIs, React/Node.js, and cloud-native infrastructure (Docker, CI/CD).
- Hands-on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.).
- Strong knowledge of LLMs, embeddings, prompt engineering, and tool use.
- Proven ability to prototype, iterate, and scale AI-enabled features.
- Familiarity with compliance/regulatory needs in insurance or financial services (preferred).
- AI-first developer mindset: using AI for scaffolding, testing, and refactoring code.
- Experience with LLMs, intelligent agents, and ML.
Responsibilities
- Build, deploy, and optimize full-stack AI-powered applications using LLMs, intelligent agents, and ML.
- Design and scale RAG pipelines, vector search systems, and LLM evaluation workflows.
- Create AI agents with frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph.
- Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval).
- Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows.
- Integrate enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf.
- Drive document automation and multilingual NLP (summarization, translation, NER).
Other
- Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).
- 5+ years in software engineering or data science, with 1+ year in GenAI/LLM/Agentic AI.
- Drive. Discipline. Confidence. Focus. Commitment.
- Ability to collaborate with designers, product managers, and engineers in a maker-driven environment.
- Ability to work in an inclusive and dynamic work environment.
