AI Engineer

Key Responsibilities

• Design, develop, and deploy enterprise AI solutions using LLMs, prompt engineering, agentic AI frameworks, and machine learning techniques
• Build intelligent applications such as RAG systems, AI copilots, conversational assistants, agent workflows, and NLP-driven solutions
• Design and optimize prompts, including templates, chaining strategies, structured outputs, and response optimization
• Implement retrieval pipelines, embeddings, vector search, orchestration logic, and memory strategies
• Fine-tune, evaluate, and monitor AI/ML models for performance, scalability, reliability, and cost efficiency
• Collaborate with stakeholders to translate business requirements into AI solutions
• Build and manage AI infrastructure on AWS using services such as S3, Lambda, EKS/ECS, API Gateway, IAM, CloudWatch, RDS, DynamoDB, OpenSearch, and Bedrock
• Provision infrastructure using Terraform/Scalr for secure and scalable deployments
• Implement monitoring, observability, evaluation, and guardrails for AI systems
• Partner with architecture, platform, DevOps, and governance teams to ensure compliance and operational standards
• Lead technical design discussions, code reviews, and architectural decisions
• Support MLOps/LLMOps practices including CI/CD, versioning, testing, and deployment automation
• Communicate technical insights, risks, and business impact to stakeholders
• Mentor junior engineers and contribute to reusable frameworks and standards

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, AI, or related field
• 5+ years of experience in Python and software development for AI/ML or cloud applications
• 3+ years of experience in Machine Learning/Data Science (model training, evaluation, deployment)
• 2+ years of experience with LLMs/Generative AI (prompt engineering, RAG, embeddings, vector databases)
• Strong expertise in prompt engineering and enterprise prompt design patterns
• Strong understanding of agentic AI patterns and orchestration frameworks
• Experience with AWS services for AI/ML application development and deployment
• Experience with Terraform and/or Scalr
• Experience with APIs, microservices, and containerized deployments
• Experience with SQL, NoSQL, vector databases, and data integration
• Strong software engineering fundamentals (version control, testing, CI/CD, secure coding)
• Experience presenting technical solutions to stakeholders
• Strong problem-solving, communication, and collaboration skills

What Makes HTC A Great Place To Build Your Future

We want 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.

We are 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 Global Services 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.