Senior / Staff AI Software Engineer

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August 15

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Aegis Ventures

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Aegis Ventures is a next-generation startup studio that partners with entrepreneurs and industry leaders to originate, launch, and scale transformative companies. The Aegis platform brings together market-shaping ideas, permanent growth capital, and ambitious individuals who are driven to solve major societal problems.

11 - 50 employees

📋 Description

• Design and develop robust, scalable, event-driven services using Python, FastAPI, Apache Kafka and GraphQL. • Build fundamental LLM agents and integrate them into our product. • Work with DevOps on deployments, monitoring, and reliability improvements. • Maintain and optimize PostgreSQL databases and data models. • Collaborate across product and engineering teams to define requirements and architect features. • Drive engineering best practices through code reviews and mentorship. • Engage with current and prospective clients to drive understanding of the Caregentic AI architecture and capabilities. • Design, build, and operate LLM services, including RAG systems (LangChain), agentic workflows, and evaluation pipelines (LangSmith, deepeval, A/B testing). • Own vector search & embeddings pipelines from schema and metadata design to model benchmarking, cost/latency optimization, and Databricks Vector Search integration. • Lead conversational AI development enhancing NLU policies, safety guardrails, and custom action servers, plus integrating assistants with microservices.

🎯 Requirements

• 7+ years of backend development experience in production environments, specifically strong Python skills, including async programming and type hints. • Experience building and monitoring production-quality ML and AI systems. • Hands-on expertise with RAG frameworks and agentic workflows. • Solid understanding of PostgreSQL database design and optimization. • Familiarity with Docker and containerization. • Strong testing practices using pytest. • Experience with microservice architectures is preferred. • Experience with GraphQL APIs. • Experience with event-driven systems and message queues. • Experience with major cloud providers (e.g., AWS). • Shipped production LLM systems: ideally RAG architectures, agent/tool use, and prompt/system design, with LangChain (tracing/evals via LangSmith), embeddings, and vector databases (Databricks Vector Search preferred). Deep expertise in retrieval quality, including chunking, metadata, hybrid search, reranking, and grounding.

🏖️ Benefits

• Comprehensive healthcare coverage (medical, dental, vision). • Time off: Flexible PTO policy with 20 vacation days and 5 sick days per year. • Remote work environment. • Top-tier development equipment. • Opportunity to make a meaningful impact on healthcare delivery.