AI Engineer

HTC Global Services; Woodbridge Township (NJ); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive benefits

401(k) matching

Wellness programs

Professional development

Job summary

HTC Global Services is seeking a mid-level AI Engineer to build scalable AI applications, integrate LLMs, and implement RAG-based solutions across enterprise platforms. You will collaborate with senior engineers, data scientists, and business teams to deliver production-ready AI capabilities.

The role emphasizes Python development, prompt engineering, cloud deployments on Azure, AWS, or Google Cloud, and building REST APIs and microservices.

Qualifications

• 3–6 years in software engineering, AI/ML, or data science.
• Strong Python programming experience.
• Hands-on with ML/GenAI and LLMs.
• Experience with RAG, embeddings, and vector search.
• Familiarity with ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn).
• Experience with REST APIs and cloud platforms.

Responsibilities

• Develop and implement AI/ML solutions with Python and ML frameworks.
• Build Generative AI apps using LLMs and RAG-based methods.
• Integrate LLM platforms (Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex).
• Develop AI-powered chatbots, document processing, and knowledge management.
• Implement prompt engineering and evaluate LLM outputs for quality.
• Build REST APIs and microservices exposing AI capabilities.
• Work with structured and unstructured data and data pipelines.
• Follow security, privacy, and responsible AI standards.

Skills

Python programming

Prompt engineering

Communication

Agile methodologies

Problem-solving

Tools

PyTorch

TensorFlow

Scikit-learn

LangChain

LangGraph

Azure OpenAI

OpenAI APIs

Azure/AWS/Google Cloud

Docker

Kubernetes

REST APIs

Git

CI/CD

Vector databases

FAISS

Pinecone

Job description

Job Description

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.