As an AI Engineer (LLM) at Synthflow, your main responsibilities will include researching, designing, and implementing AI-powered features, maintaining backend infrastructure for scalability and performance, and contributing throughout the software development lifecycle. You'll actively participate in coding, code reviews, and keeping up with new AI technologies, which makes your role pivotal in shaping our voice technology solutions.

To thrive as an AI Engineer (LLM) at Synthflow, candidates should have a minimum of 5 years of experience as a Python developer, a solid understanding of building scalable data infrastructure, and familiarity with infrastructure containerization and MLOps on GCP or AWS. Additionally, having experience with Large Language Models (LLMs) and low-latency audio stream processing will be advantageous.

AI Engineers (LLM) at Synthflow work with a cutting-edge technology stack that includes frameworks for building production-grade applications with Large Language Models (LLMs), such as LangChain and LlamaIndex. Knowledge about API development, particularly with FastAPI, and experience using cloud infrastructure are also important aspects of the role.

Synthflow fosters a remote-first culture that encourages autonomy and innovative thinking. As an AI Engineer (LLM), you will thrive in a high-ownership environment that is fast-paced and supportive, allowing you to contribute from anywhere while working on technology that excites you. The collaborative atmosphere promotes continuous learning and professional growth.

The role of an AI Engineer (LLM) at Synthflow plays a critical part in personal and company-wide growth. You will have the opportunity to tackle challenging problems, make significant impacts in a startup environment, and continuously upgrade your skills with the latest advancements in AI technology. As the company scales, so will your responsibilities and opportunities for advancement.

Discuss specific projects where you designed or contributed to scalable data infrastructure. Highlight the technologies used and how you ensured performance and scalability. This shows your practical experience relevant to Synthflow's needs.

Share concrete examples of AI features you developed, detailing the research, design, and implementation phases, and the technologies employed. This showcases your hands-on experience and aligns with Synthflow's mission of innovation.

Focus on scalability, reliability, and performance metrics. Explain your approach to handling data loads and how you've previously addressed bottlenecks. This insight is crucial for the role at Synthflow.

Share specific resources like conferences, journals, online courses, or communities that you engage with to enhance your knowledge. This illustrates your commitment to continuous learning, which is essential at Synthflow.

Discuss your familiarity with tools like Git. Elaborate on how you've managed branches, resolved conflicts, and incorporated code reviews. Collaboration is key at Synthflow, and relevant experience will strengthen your candidacy.

Provide a specific instance where you encountered difficulties, detailing your problem-solving approach and tools utilized. This shows resilience and adaptability—qualities that Synthflow values.

Explain your methods for testing, including data sets, performance metrics, and techniques you've employed to evaluate model accuracy and reliability. This demonstrates your thoroughness in ensuring quality.

Discuss the importance of MLOps in streamlining model deployment, monitoring, and lifecycle management. Relate this to how Synthflow could benefit from efficient operations in developing AI-powered agents.

Highlight specific frameworks like TensorFlow or PyTorch, and your experience using them in real-world projects. Detail how these contributed to creating impactful AI solutions, relatable to Synthflow's objectives.

Express your enthusiasm for the company’s mission and the opportunity to work on innovative voice technology. Highlight your passion for AI and how your skills align with Synthflow’s goals.