AI / ML Developer

Description

HyerTek is seeking an experienced and passionate AI Developer to provide technical direction and leadership in the architecture, design, development, and delivery of modern AI solutions including Copilot integrations, RAG systems, and LLM-powered applications for one of our government client projects. This person will possess in-depth knowledge of large language models, AI orchestration frameworks, and cloud AI services, as well as solid architectural and design skills for scalable AI systems. Our AI solutions are focused on making employees more informed, effective, and engaged through intelligent automation and enhanced decision-making capabilities.

Qualified candidates will have a balanced understanding of modern AI technologies, prompt engineering, and system integration as it relates to transformative AI solutions, with particular emphasis on building production-ready LLM applications for the science and government domains. More specifically, we value deep and broad skills across the following areas and would expect candidates to demonstrate experience in a subset of the technologies listed.

Key Responsibilities

• Architect and develop Large Language Model (LLM) applications using OpenAI GPT, Anthropic Claude, Google Gemini, and Meta LLaMA models.
• Design and implement Retrieval-Augmented Generation (RAG) systems, including vector databases, semantic search, and document processing pipelines.
• Build and customize Microsoft Copilot integrations, including Copilot Studio extensions and custom copilot development using Semantic Kernel.
• Develop AI orchestration solutions using LangChain, LlamaIndex, and other modern AI frameworks for complex multi-step workflows.
• Implement advanced prompt engineering strategies, function calling, and AI agent architectures for intelligent automation.
• Design and deploy scalable AI APIs using Python, FastAPI, and cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Create robust vector storage and retrieval systems using Pinecone, Weaviate, Chroma, or FAISS for semantic search applications.
• Build full-stack AI applications with modern frontend frameworks integrated with LLM backends and real-time AI interactions.
• Collaborate with data scientists and ML engineers to fine-tune models and optimize AI system performance.
• Take part in the Agile process and collaborate effectively within cross-functional AI development teams.
• Create strong internal relationships, train others and evangelize AI best practices and emerging technologies across customer organizations and internally.
• Interpret client requirements and make recommendations for optimal AI solutions and implementation strategies.
• Support the team in full lifecycle AI delivery efforts from requirements gathering through deployment and maintenance.
  
  

Requirements

• Must be a US Citizen.
• Must be able to obtain U.S. Government Civilian or DoD Clearance
• Bachelor's Degree in Computer Science, Data Science, AI/ML, or equivalent work experience.
• 5+ years of experience in software development with 2+ years focused on AI/ML applications and LLM integration.
• Hands-on experience with Large Language Models including OpenAI GPT-4/GPT-3.5, Anthropic Claude, Google Gemini, or Meta LLaMA.
• Strong experience building Retrieval-Augmented Generation (RAG) systems and semantic search applications.
• Proficiency with vector databases such as Pinecone, Weaviate, Chroma, or FAISS for embedding storage and retrieval.
• Experience with AI orchestration frameworks including LangChain, LlamaIndex, or similar tools for LLM application development.
• Advanced prompt engineering skills and experience with function calling, tool integration, and AI agent development.
• Strong Python programming skills with experience in FastAPI, Flask, or Django for AI API development.
• Experience with Microsoft Copilot Studio, Semantic Kernel, or custom copilot development frameworks.
• Hands-on experience with cloud AI services including Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Proficiency with modern frontend frameworks (React, Vue.js, or Angular) for AI application user interfaces.
• Experience with containerization (Docker) and orchestration (Kubernetes) for AI model deployment.
• Knowledge of embedding models, transformer architectures, and model fine-tuning techniques.
• Understanding of AI safety, responsible AI practices, and bias mitigation in LLM applications.
• Experience with version control, CI/CD pipelines, and MLOps practices for AI system deployment.
• Strong understanding of data preprocessing, document chunking, and knowledge management for RAG systems.
• Familiarity with Agile development methodologies and experience working in collaborative AI development teams.
  
  

Not Required, But a Plus

• Experience with open-source LLMs like Llama 2/3, Mistral, or Falcon, and local model deployment
• Knowledge of model fine-tuning techniques, including LoRA, QLoRA, and PEFT methods
• Experience with multimodal AI applications combining text, image, and audio processing
• Familiarity with AI governance frameworks and compliance requirements for government applications
• Experience with Hugging Face ecosystem, model deployment, and custom model training
• Knowledge of graph databases (Neo4j, Amazon Neptune) for knowledge graph application
• Microsoft Azure AI certifications or similar cloud AI credentials
• Experience with real-time AI systems and streaming data processing
• Background in natural language processing, computer vision, or speech recognition
  
  

Equal Opportunity Employer

HyerTek is an Equal Opportunity Employer. All employment decisions will be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.