Overview / Summary We are seeking a highly skilled AI Engineer to design, develop, and deploy enterprise-scale AI solutions that solve complex business problems. This role focuses on Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI systems, Machine Learning, Data Science, and cloud-native engineering on AWS. The ideal candidate will build intelligent applications end-to-end and collaborate closely with cross-functional teams to deliver secure, scalable, and production-ready AI solutions aligned with enterprise standards.
Key Responsibilities
Design, develop, and deploy enterprise AI solutions using LLMs, Prompt Engineering, Agentic AI frameworks, Machine Learning, and Data Science techniques
Build intelligent applications such as RAG systems, AI copilots, conversational assistants, agent workflows, document intelligence, and NLP applications
Design and optimize prompts including templates, chaining strategies, structured outputs, and response optimization
Develop and maintain data pipelines for structured and unstructured data supporting training, inference, analytics, and evaluation
Implement retrieval pipelines, embeddings, vector search, tool calling, memory strategies, and orchestration for LLM applications
Fine-tune, evaluate, optimize, and monitor AI/ML and LLM systems for performance, scalability, and cost efficiency
Collaborate with stakeholders to translate business requirements into scalable AI solutions
Build and manage AI infrastructure on AWS (e.g., S3, Lambda, EKS/ECS, API Gateway, IAM, CloudWatch, RDS, DynamoDB, OpenSearch, Bedrock)
Provision infrastructure using Terraform/Scalr for secure, repeatable deployments
Implement observability, monitoring, evaluation, feedback loops, and guardrails for AI systems
Ensure solutions meet enterprise standards for security, compliance, and resiliency
Lead technical design discussions, code reviews, and engineering best practices
Support MLOps/LLMOps practices including CI/CD, versioning, testing, deployment, and incident response
Communicate technical findings and risks to stakeholders and leadership
Mentor junior engineers and contribute to reusable frameworks and standards
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field
1+ years of experience in Python and software development for AI/ML, data engineering, or cloud applications
1+ years of experience in Machine Learning / Data Science including model development and deployment
1+ years of experience in LLMs / Generative AI including prompt engineering, RAG, embeddings, and evaluation frameworks
Experience presenting technical concepts to stakeholders
Strong analytical, problem-solving, and collaboration skills
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.