Senior AI Engineer - Generative AI & Machine Learning

• Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions.
• Build end-to-end AI workflows encompassing data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement.
• Develop and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG), prompt orchestration, agentic workflows, and tool integrations.
• Create scalable APIs and AI services that integrate with enterprise applications and business processes.
• Establish and maintain MLOps practices, including automated training, deployment, monitoring, retraining, and performance management.
• Ensure AI solutions are reliable, scalable, secure, and optimized for production environments.
• Collaborate with business and technical stakeholders to identify opportunities and translate business challenges into AI-driven solutions.
• Monitor model performance and implement ongoing enhancements based on business feedback, operational metrics, and evolving requirements.
• Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps to continuously improve solution capabilities and delivery approaches.

We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and Agentic AI capabilities. This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable, production-ready AI systems that drive operational efficiency and business value.

The ideal candidate will have hands-on experience building and operationalizing AI/ML solutions in enterprise environments, with a strong focus on Generative AI, intelligent automation, and cloud-native architectures., * Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related discipline.

• 6+ years of IT experience, including 4+ years of software development experience.
• Strong programming experience in Python, including backend development, API design, automation, and software engineering best practices.
• Hands-on experience building, deploying, and supporting machine learning models in production environments.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, and/or PyTorch.
• Practical experience developing applications using Large Language Models (LLMs), prompt engineering, and Generative AI technologies.
• Experience designing and implementing Agentic AI solutions, multi-step workflows, autonomous agents, and tool-calling architectures.
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar technologies.
• Experience building AI solutions on cloud platforms such as AWS and/or GCP.
• Experience with MLOps tools and platforms including MLflow, Airflow, Vertex AI, SageMaker, Kubeflow, or equivalent solutions.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with vector databases, embeddings, Retrieval-Augmented Generation (RAG), and semantic search architectures.
• Experience working with enterprise-scale data environments, data lakes, and large datasets.
• Experience optimizing AI systems for scalability, performance, reliability, and cost efficiency.
• Experience building AI-powered products, dashboards, analytics solutions, or intelligent automation platforms.
• Strong understanding of software development lifecycle, version control, testing, and deployment practices.
• Excellent analytical, problem-solving, and communication skills.

• Ability to thrive in a fast-paced, agile environment with evolving priorities and business needs. Preferred Qualifications

• Self-starter with the ability to work independently and navigate ambiguity.
• Strong communicator capable of engaging both technical and non-technical stakeholders.
• Collaborative team player who can effectively partner across business and technology functions.
• Innovative thinker with a passion for applying AI to solve real-world business challenges.
• Results-oriented mindset focused on delivering practical, scalable, and impactful solutions. 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.