AI Application Developer
AI Application Developer
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Job Description
For over 20 years Milestone has been a leading provider of digital marketing software and services for location-based businesses. Over 2000 companies in Hospitality Retail Financial Services and Automotive industries rely on Milestone to power their digital marketing strategies. Milestone has garnered over 500 awards has been shortlisted for 3 consecutive years for the US Search awards and in 2024 won the HSMAI Adrian Awards.
Specifically Milestone received the Silver and Best in Category awards for its Digital Experience Platform and SEO-first CMS. Milestone has gained a reputation for blending outstanding digital marketing expertise with advanced technological capabilities and is one of Silicon Valley Business Journals fastest growing companies and an Inc. 5000 company.
Job Summary:
We are looking for an innovative and highly skilled AI Application Engineer to join our team and develop state-of-the-art enterprise-scale public-facing AI applications. This role will provide you with the opportunity to shape the next generation of autonomous agent-based systems focusing on performance scalability and cutting-edge technologies such as LLMs embedding techniques and agentic frameworks.
As an AI Application Engineer you will play a critical role in designing and implementing solutions that delight users while optimizing system performance. This position requires a combination of deep technical aptitude creativity and a commitment to excellence in application engineering.
Responsibilities:- Design develop and deploy enterprise-scale public-facing AI applications.
- Implement advanced Retrieval Augmented Generation (RAG) architectures including hybrid search and multi-vector retrieval.
- Build and optimize systems for token usage response caching and performance tuning.
- Develop and maintain autonomous agent frameworks using LangGraph or similar framework.
- Drive innovation in areas like embedding techniques contextual compression and multi-agent systems.
- Collaborate with cross-functional teams including product managers designers and DevOps to ensure robust and user-centric solutions.
- Troubleshoot complex technical challenges and mentor junior developers.
- Stay updated on the latest advancements in LLMs agentic frameworks and AI-driven application development.
Minimum Qualifications:
- 2 3 years of hands-on experience developing production-grade LLM applications.
- 3 to 5 years of overall software development experience.
- Minimum 1 year of experience in autonomous agent development using the LangGraph framework or similar.
Must-Have Skills:
- Production-Grade LLM Development: Proven experience in developing and deploying large language model applications.
- Autonomous Agent Development: Hands-on experience with frameworks like LangGraph for building autonomous agents.
- Advanced RAG Architectures: Expertise in hybrid search multi-vector retrieval and contextual compression.
- Prompt Engineering and Vector Search Optimization: Proficiency in crafting effective prompts and optimizing vector searches.
- Performance Tuning and Token Optimization: Strong understanding of response caching and techniques to optimize token usage.
Nice-to-Have Skills:
- Scalable Architectures: Experience with Kubernetes Docker and cloud platforms preferably Azure.
- NoSQL Databases: Familiarity with MongoDB and ElasticSearch.
- API-Driven Development: Knowledge of building and maintaining APIs.
- CI/CD Pipelines and Agile Methodologies: Experience with continuous integration/continuous deployment pipelines and Agile practices.
Analytical and Problem-Solving Skills: Strong analytical abilities and attention to detail
Employment Type
Full-time
