Sr. Software & LLM Integration Developer [D.24.0083] with Security Clearance

Requires TS/SCI w/ poly. Description: We are looking for an experienced Senior Software Engineer to join our team and drive the integration of Large Language Models (LLMs) into our large-scale systems. The ideal candidate will have a strong background in software engineering, system architecture, and experience working with LLMs. You will play a crucial role in designing, developing, and maintaining scalable and efficient systems that leverage the power of LLMs to enhance our products and services. Responsibilities: * Architect and implement robust, scalable, and fault-tolerant systems that integrate LLMs seamlessly. * Collaborate with cross-functional teams, including data scientists, ML engineers, and product managers, to identify and prioritize integration opportunities. * Design and develop APIs, microservices, and data pipelines to facilitate LLM integration. * Optimize system performance, ensuring high throughput and low latency for real-time LLM-powered features. * Establish best practices for monitoring, logging, and troubleshooting LLM-integrated systems. * Continuously evaluate and adopt new LLM technologies and techniques to improve system capabilities and performance. * Mentor junior engineers and promote a culture of technical excellence and innovation. Skills Requirements: * Strong proficiency in one or more programming languages such as Java, Python, or C++. * Extensive experience designing and developing large-scale, distributed systems. * In-depth knowledge of system architecture patterns, RESTful APIs, and microservices. * Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration platforms. * Experience with data storage and retrieval systems (e.g., SQL, NoSQL, Elasticsearch). * Understanding of security best practices and experience implementing secure systems. * Excellent problem-solving, debugging, and performance optimization skills. * Strong communication and collaboration abilities. Nice to Haves: * Experience with cloud platforms (e.g., AWS, GCP, Azure) and their associated services. * Knowledge of DevOps practices and tools (e.g., CI/CD, Infrastructure as Code). * Familiarity with big data processing frameworks (e.g., Hadoop, Spark). * Experience with streaming data technologies (e.g., Kafka, Flink). * Contributions to open-source projects or publications in the field of software engineering or system design. * Experience with agile development methodologies and project management tools (e.g., JIRA, Confluence). YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.