Applied AI Engineer

About the Role

We are seeking a talented and driven Applied AI Engineer to join our growing Data & AI team. This role is ideal for an experienced software engineer with a deep understanding of generative AI technologies and a passion for building scalable, production-grade AI solutions. You will be responsible for designing, prototyping, and deploying GenAI-powered applications, while also contributing to our AI platform architecture across cloud environments such as (GCP) and MS Azure.

Key Responsibilities:

• Translate business needs into robust, scalable GenAI technical solutions.
• Design, prototype, and implement LLM-driven applications using techniques such as RAG, prompt engineering, fine-tuning, and vector search.
• Develop APIs and reusable software components in Python to support GenAI applications.
• Leverage orchestration frameworks (e.g., LangChain, LlamaIndex, or LangGraph) to deliver dynamic and modular AI workflows.
• Collaborate with cross-functional teams to integrate AI capabilities into business applications.
• Deploy and monitor GenAI models and pipelines using cloud-native tools, Kubernetes, and serverless architectures.
• Continuously evaluate model and system performance, implementing improvements as needed.
• Create and maintain technical documentation and support materials for deployed solutions.

Minimum Requirements:

• Bachelor’s or master’s degree in computer science, AI/ML, or a related field.
• 5+ years of software development experience with strong Python skills.
• 2-3+ years of hands-on experience building GenAI/LLM-based applications.
• Experience developing multi-step agent workflows using LangGraph or similar orchestration frameworks.
• Proficient in designing retrieval pipelines: document loaders, chunking strategies, embedding models, and vector database integration.

Strong grasp of GenAI concepts, including:

• Retrieval-Augmented Generation (RAG)
• Embeddings & vector databases (e.g., FAISS, Pinecone, ChromaDB)
• Prompt engineering and fine-tuning
• LLM APIs (e.g., OpenAI, Claude, Gemini)
• Experience deploying cloud-native solutions using GCP and/or Azure.
• Solid understanding of API design, microservices, and software architecture patterns.
• Familiarity with version control systems (e.g., Git, Azure DevOps).
• Experience with Docker and Kubernetes.
• Demonstrated ability to build and scale AI/ML solutions from proof-of-concept to production.
• Preferred Qualifications:
• Experience with GenAI orchestration tools (e.g., LangChain, LlamaIndex).
• Familiarity with DevOps practices: Azure DevOps, YAML pipelines, Terraform.
• Strong interpersonal and communication skills, with the ability to collaborate across teams and influence decision-making.
• Self-starter with a proactive mindset and strong problem-solving abilities.
• Ability to work both independently and in collaborative team environments.
• Interest in leveraging AI tools to enhance productivity and solution delivery.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian’s platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian’s brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.