Enterprise AI & Generative AI Developer

Job Description

Must Have Technical/Functional Skills
AI & Application Development
" Develop AI enabled application features and services using modern programming practices.
" Implement intelligent workflows that process structured and unstructured data.
" Build reusable, modular components that can be scaled across multiple use cases.
Generative AI Implementation
" Develop applications that leverage large language models and other generative techniques.
" Implement retrieval based approaches to improve response accuracy and relevance.
" Design prompt templates and contextual handling mechanisms to improve AI output quality.
System Integration
" Integrate AI capabilities into existing enterprise systems using APIs and service based architectures.
" Work with multiple data sources, including documents, databases, and knowledge repositories.
" Ensure AI services are secure, reliable, and performant.
Quality, Optimization & Reliability
" Continuously improve AI output quality through tuning, evaluation, and testing.
" Optimize latency, throughput, and operational cost of AI features.
" Implement logging, monitoring, and error handling to support production stability.
Collaboration & Delivery
" Work closely with architects, data engineers, product owners, and UX teams.
" Contribute to proof of concepts and help evolve them into scalable solutions.
" Stay current with advancements in AI and apply relevant innovations responsibly.
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Required Technical Skills
Programming & Engineering
" Strong hands on experience with Python or equivalent programming languages.
" Solid understanding of software engineering principles, APIs, and microservices.
" Experience writing clean, maintainable, and testable code.
AI & Machine Learning
" Practical experience developing AI or machine learning based solutions.
" Understanding of generative AI concepts, embeddings, semantic search, and contextual retrieval.
" Familiarity with model inference, prompt design, and output evaluation.
Data Handling
" Experience working with structured and unstructured data.
" Knowledge of data preprocessing, transformation, and text handling techniques.
Cloud & Dev Ops (Preferred)
" Exposure to cloud based application development.
" Basic understanding of deployment pipelines, containers, and runtime m onitoring.
Experience & Qualifications
" 5 12 years of overall software development experience (flexible based on capability).
" Demonstrated experience delivering AI enabled features in real world applications.
" Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or related field.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.