AI Engineer - Generative AI & LLMs (AWS)

• 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

• 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

• Strong experience in Prompt Engineering (design patterns, chaining, structured outputs, prompt tuning)

• Strong understanding of Agentic AI workflows, orchestration, memory handling, and tool usage

• Experience with AWS for developing and deploying AI/ML solutions

• Experience with Terraform and/or Scalr for infrastructure provisioning

• Experience with APIs, microservices, and containerized environments

• Experience with SQL, NoSQL, vector databases, and data integration

• Strong knowledge of software engineering fundamentals (version control, CI/CD, testing, secure coding)

• 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.