Senior Software Engineer - AI Applications

U.S.Full-TimeSenior

Salary160000 - 190000 USD per year

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Job Details

Experience: 6+ years
Required Skills: PythonSoftware DevelopmentArtificial IntelligenceJavascriptMachine LearningData scienceGoRustMicroservicesLLMLangChain

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
6+ years relevant work experience.
Proficiency in, at least, one modern programming language such as Python or Javascript.
Experience building commercial SaaS solutions.
Experience integrating with backend services, and APIs.
Experience with OpenAI, Anthropic, or similar for both chat and API interfaces.
Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation.
Experience with tuning AI performance and scalability of AI infrastructure.
Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph.
Experienced with LLM orchestration tooling and decision frameworks.
Experience or exposure building agentic capabilities and workflows.
Experience or exposure to evaluation testing frameworks.
Exceptional candidates will have direct experience with RAG for tuning LLMs.
Experience with API design and accessing data from external sources.
Ability to effectively articulate technical challenges and solutions.
Deal well with ambiguous/undefined problems; ability to think abstractly.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Utilize existing Large Language Models to build applied AI applications focused on producing high accuracy rates.
Take ownership in constructing services to ingest structured results.
Work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows.
Work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights.
Drive technical vision and leverage open source technologies and cloud services to build an an AI/ML platform.
Build tooling to support model training, evaluation, inference serving, monitoring and alerting.
Use the latest ML frameworks and open source tools to develop new model training pipelines.
Direct experience with software engineering and familiar with modern languages like Python, Javascript, Go, Rust.
Experience building microservices and understand the tradeoffs of the approach.
Identify, extract, transform, and load data from disparate sources into a centralized system, normalizing, cleansing, and validating this data.
Design and implement schemas, optimize queries, and manage database performance.
Prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders.
Collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects.

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