AI Engineer

AI Engineer – Generative AI, LLM & RAG Position Overview

Build practical AI and Generative AI solutions that address real-world business problems, from prototype through production. This mid-level role focuses on developing scalable AI applications, integrating Large Language Models, building RAG-based solutions, and bringing AI capabilities into enterprise platforms.

You’ll work with senior engineers, architects, data scientists, and business teams while contributing to AI-powered chatbots, virtual assistants, document processing, knowledge-management solutions, and other AI applications.

What You'll Do

• Develop and implement AI/ML solutions using Python and modern AI/ML frameworks.
• Build Generative AI applications using Large Language Models (LLMs).
• Develop RAG-based applications using document processing, embeddings, vector databases, and semantic search.
• Integrate LLMs such as Azure OpenAI, OpenAI, AWS Bedrock, Google Gemini, or equivalent platforms.
• Develop AI-powered chatbots, virtual assistants, document summarization, classification, extraction, and knowledge-management solutions.
• Implement prompt engineering techniques and evaluate LLM responses for accuracy, relevance, and reliability.
• Build and integrate REST APIs and microservices to expose AI capabilities to enterprise applications.
• Work with structured and unstructured data and develop data-preparation and processing pipelines.
• Implement AI solutions using cloud services on Azure, AWS, or Google Cloud.
• Collaborate with senior engineers and architects to develop scalable and production-ready solutions.
• Participate in proof-of-concepts and rapidly evaluate emerging AI technologies.
• Develop unit tests, integration tests, and automated validation for AI applications.
• Monitor AI applications and troubleshoot performance, accuracy, and production issues.
• Follow enterprise standards for security, data privacy, responsible AI, and application development.
• Contribute to technical documentation, solution design, and knowledge-sharing activities.

Required Qualifications

• 3–6 years of experience in software engineering, AI/ML, data science, or a related technology field.
• Strong hands-on programming experience with Python.
• Experience with Machine Learning and/or Generative AI applications.
• Practical experience working with LLMs and prompt engineering.
• Experience building RAG applications using embeddings and vector search.
• Knowledge of ML/AI frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience working with REST APIs and microservices.
• Experience with SQL and relational or NoSQL databases.
• Experience with at least one cloud platform: Azure, AWS, or Google Cloud.
• Familiarity with Git and CI/CD practices.
• Good understanding of software development lifecycle and Agile methodologies.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with Azure OpenAI or OpenAI APIs.
• Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
• Experience with vector databases/search platforms such as Azure AI Search, Pinecone, FAISS, or similar technologies.
• Knowledge of AI agents and agentic workflows.
• Experience with Docker and Kubernetes.
• Familiarity with MLOps/LLMOps concepts.
• Experience with AI evaluation, guardrails, and responsible AI.
• Experience working with enterprise data or regulated industries such as banking, financial services, or insurance.

Experience Level

• 3–6 years of total technology experience.
• 2+ years of hands-on experience with AI/ML or Generative AI is preferred.

Role Expectations

The Mid-Level AI Engineer should be able to independently develop well-defined AI features and applications, troubleshoot technical issues, and contribute to solution design. The engineer will work under the guidance of senior engineers/architects for complex architecture and enterprise-level decisions.

Technology Environment

Languages: Python, SQL AI/ML: Machine Learning, NLP, Generative AI, LLMs GenAI: RAG, Prompt Engineering, Embeddings, Vector Search, AI Agents Frameworks: PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph Cloud: Azure / AWS / Google Cloud LLM Platforms: Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex AI Data: SQL, NoSQL, Vector Databases, Document Stores Engineering: REST APIs, Microservices, Git, Docker, CI/CD

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

PAY TRANSPARENCY TAGLINE: For information on the compensation range and an overview of benefits offered by HTC Global Services, please email compensationrange@htcinc.com. Salary, other compensation, and benefits information shared by HTC are accurate as of the date provided. The disclosed range may vary based on factors such as geographic location, education, relevant experience, certifications, skills, role fit, organizational needs & other factors as applicable. HTC Global Services reserves the right to modify ranges in accordance with governmental, state, and local requirements.