EXPERIENCE_RANGE_IN_REQUIRED_SKILLS_ "6+ years in software engineering or data science, with 2+ years in GenAI/LLM/Agentic AI Proficiency in Python, REST APIs, React/Node.js, and tools like Open API, JSON, and YAML.
Hands-on experience with AWS AI services (Bedrock, SageMaker, Nova, Textract, Translate, Lambda, Step Functions)."
ROLE_DESCRIPTION -
• Build, deploy, and optimize production-grade AI applications leveraging GenAI, Agentic AI, and ML.
• Lead design and scaling of RAG pipelines, vector search systems, and LLM evaluation workflows.
• Develop AI agents with Lang Chain, AutoGen, LlamaIndex, or LangGraph for task automation and decision support.
• Translate complex business problems into end-to-end AI solutions using AWS-native services.
• Ingest and process unstructured/structured data (parsing, chunking, embeddings, retrieval).
• Deliver intuitive user experiences integrating LLMs and intelligent agents into real-time workflows.
• Integrate and evaluate enterprise AI tools such as Claude, GPT-4/4o, ChatGPT Enterprise, Copilot, Glean, Shelf, and Genesys AI.
• Drive innovation in document automation (summarization, translation, NER) and multilingual NLP.
• Implement observability, governance, and responsible AI practices for secure, compliant deployments.
• Collaborate across IT, data, legal, compliance, and business teams on high-impact solutions.
• Mentor engineers and lead specific workstreams to advance Athene's AI platform.