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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - Generative AI & LLMs (AWS) - **Company:** HTC Global Services, Inc. - **Location:** Frisco, TX, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Integration, Software Design Patterns, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Machine Learning, NoSQL, Search Technologies, Secure Coding, Software Engineering, SQL Databases, Unstructured Data, Management of Software Versions, AI Infrastructure, Large Language Models, Prompt Engineering, Generative AI, Amazon Relational Database Service, Containerization, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents, Cloudwatch, Api Gateway, Terraform, Software Version Control, Microservices - **Published:** June 25, 2026 - **Apply:** https://www.juju.com/job/00000000gb03io ## About the Role + 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 ## Description + 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 ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Hate organising your photos? Try it with 5 Terabytes](https://www.wearedevelopers.com/videos/79-hate-organising-your-photos-try-it-with-5-terabytes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)