SherlockTalent
AI API & Application Backend Engineer
SherlockTalent, San Francisco, California, United States, 94199
Job Title:
AIAPI & Application Backend Engineer Location:
Bay Area, CA Job Type:
Founding Level SWE, Full Time Salary:
Founders-level equity and $200K+ Job ID:
7333 SherlockTalent is Hiring: AI API & Application Backend Engineer Do you have a passion for building scalable APIs, streamlining data flow, and coordinating the backbone of modern applications? SherlockTalent is seeking an AIAPI & Application Backend Engineer to develop and maintain robust application layer APIs, facilitate seamless platform integrations, and manage background jobs and AI agent coordination. Core Strengths:
Primary Focus: Application Layer Development Secondary Focus: API Development & Background Job Management Key Responsibilities:
Design and implement RESTful or GraphQL APIs to support both internal operations and external integrations. Develop endpoints for seamless integrations with Slack, Salesforce, and other platforms, ensuring data consistency across systems (in collaboration with the Full-Stack Engineer). Manage and optimize background workers and asynchronous job processing using tools such as RabbitMQ, Celery, or Kafka. Pull ingested data into the application database and manage its flow to ensure efficient and secure operations. Integrate AI models and agents into the application layer to enhance intelligent system capabilities (in collaboration with the Data Scientist). Lead strategic decisions regarding API and queue stack selection, ensuring alignment with overall system design and business objectives. Collaborate with the AI Infrastructure & Data Engineer and AI Full-Stack Platform Engineer to support integrations and maintain platform consistency. Required Skills:
Strong experience designing and implementing APIs using RESTful or GraphQL principles. Proficiency in managing asynchronous job processing with tools like RabbitMQ, Celery, or Kafka. Familiarity with integrating applications with external platforms such as Slack and Salesforce. Strong understanding of database interaction and data flow optimization within applications. Knowledge of AI model integration and experience working with data scientists to bring AI functionality into applications. Ability to collaborate with cross-functional teams and align API architecture with broader system goals. Preferred Qualifications:
Experience with microservices architecture and distributed systems. Strong background in programming languages like Python, Node.js, or Java for API development. Familiarity with DevOps practices and CI/CD pipelines. Why Join Us?
At SherlockTalent, you’ll play a pivotal role in building the foundation of innovative platforms that harness the power of modern APIs, intelligent integrations, and AI capabilities. Join a dynamic team that values collaboration, excellence, and technical leadership. Apply Now:
Take the next step in your career and become a key contributor to SherlockTalent’s engineering team. Let’s create the future together!
#J-18808-Ljbffr
AIAPI & Application Backend Engineer Location:
Bay Area, CA Job Type:
Founding Level SWE, Full Time Salary:
Founders-level equity and $200K+ Job ID:
7333 SherlockTalent is Hiring: AI API & Application Backend Engineer Do you have a passion for building scalable APIs, streamlining data flow, and coordinating the backbone of modern applications? SherlockTalent is seeking an AIAPI & Application Backend Engineer to develop and maintain robust application layer APIs, facilitate seamless platform integrations, and manage background jobs and AI agent coordination. Core Strengths:
Primary Focus: Application Layer Development Secondary Focus: API Development & Background Job Management Key Responsibilities:
Design and implement RESTful or GraphQL APIs to support both internal operations and external integrations. Develop endpoints for seamless integrations with Slack, Salesforce, and other platforms, ensuring data consistency across systems (in collaboration with the Full-Stack Engineer). Manage and optimize background workers and asynchronous job processing using tools such as RabbitMQ, Celery, or Kafka. Pull ingested data into the application database and manage its flow to ensure efficient and secure operations. Integrate AI models and agents into the application layer to enhance intelligent system capabilities (in collaboration with the Data Scientist). Lead strategic decisions regarding API and queue stack selection, ensuring alignment with overall system design and business objectives. Collaborate with the AI Infrastructure & Data Engineer and AI Full-Stack Platform Engineer to support integrations and maintain platform consistency. Required Skills:
Strong experience designing and implementing APIs using RESTful or GraphQL principles. Proficiency in managing asynchronous job processing with tools like RabbitMQ, Celery, or Kafka. Familiarity with integrating applications with external platforms such as Slack and Salesforce. Strong understanding of database interaction and data flow optimization within applications. Knowledge of AI model integration and experience working with data scientists to bring AI functionality into applications. Ability to collaborate with cross-functional teams and align API architecture with broader system goals. Preferred Qualifications:
Experience with microservices architecture and distributed systems. Strong background in programming languages like Python, Node.js, or Java for API development. Familiarity with DevOps practices and CI/CD pipelines. Why Join Us?
At SherlockTalent, you’ll play a pivotal role in building the foundation of innovative platforms that harness the power of modern APIs, intelligent integrations, and AI capabilities. Join a dynamic team that values collaboration, excellence, and technical leadership. Apply Now:
Take the next step in your career and become a key contributor to SherlockTalent’s engineering team. Let’s create the future together!
#J-18808-Ljbffr