Developer, AI Transformation Team

🕒 July 18

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Escalent

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

🏥 Healthcare

✈️ Travel

Automotive • Healthcare • Travel

Escalent is a top research, data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. Our seasoned market research consultants transform complex data into strategic consumer insights to empower businesses with actionable intelligence, utilizing expertise across various sectors to offer tailored solutions in customer experience, market assessment, and strategic growth.

📋 Description

• Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment • Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems • Build and optimize data pipelines for structured and unstructured data used in AI application workflows • Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation • Optimize application and model integration performance for scalability, reliability, latency, and maintainability • Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions • Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development • Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability • Write clean, structured, and well-documented code aligned with the teams engineering standards and development best practices • Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development

🎯 Requirements

• 5-8 years of Python development experience, with 2+ years of AI/ML development • Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI • Experience with API development, integration, and web services in production environments • Hands-on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications • Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications • Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes • Understanding of asynchronous programming, performance optimization, and scalable backend architectures • Experience with unit testing, debugging, version control, and software engineering best practices • Ability to work effectively in a collaborative team environment with strong problem-solving and execution skills.