Qualifications

• 3 years of experience in software engineering, solutions engineering, or AI deployment.
• Strong programming skills in Python; knowledge of TypeScript, Java, or Go preferred.
• Hands-on integration experience with LLMs and AI applications using enterprise data sources.
• Proficiency in REST APIs, microservices, and enterprise system integration methods.
• Cloud deployment experience on AWS, Azure, or GCP; familiarity with containers and CI/CD pipelines.
• Excellent communication skills; ability to navigate ambiguity in client environments.

Responsibilities

• Work closely with client teams to transform operational workflows into AI solutions.
• Build and integrate LLM-powered applications utilizing client data sources and APIs.
• Develop custom connectors and data pipelines tailored for specific client requirements.
• Conduct discovery sessions to clarify business challenges and define project scope.
• Manage solutions throughout their lifecycle from prototyping to production and iterative feedback.
• Document integration processes and decisions to facilitate future client deployments.

Benefits

• Opportunities for direct client engagement and hands-on engineering.
• Impactful work that enhances AI deployment capabilities in enterprise settings.
• An environment that encourages innovation and iterative learning.
• Exposure to a variety of client workflows and technologies.
• Supportive culture fostering professional growth and development.