Who We Are

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people.

Why Escalent? Once you join our team you will have the opportunity to...

• Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more.
• Gain exposure to a rich variety of research techniques from knowledgeable professionals.
• Enjoy a remote first/hybrid work environment with a flexible schedule.
• Obtain insights into the needs and challenges of your clients—to learn how the world’s leading brands use research.
• Experience peace of mind working for a company with a commitment to conducting research ethically.
• Build lasting relationships with fun colleagues in a culture that values each person.

Role Overview

We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued.

Responsibilities

• 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 team’s engineering standards and development best practices

• Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development

Required Skills

• 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

• Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval-based AI patterns is a strong plus

• Ability to work effectively in a collaborative team environment with strong problem-solving and execution skills

• Experience working with Agile development methodologies

• Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows

• Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications

• Strong written and verbal communication skills with the ability to document technical solutions clearly

Explore our Careers and Culture page to learn more about the people behind the brand: https://escalent.co/careers-and-culture/