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.