Sr. Software & LLM Integration Developer [D.24.0083]

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.