AI/ML Engineer

CCS INC; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Bonus based on performance

Dental insurance

Health insurance

Vision insurance

Job summary

CCS INC is hiring for a specialized role focusing on Cloud Architecture based in Plano, Texas. The ideal candidate will possess 6+ years of hands-on cloud architecture experience and demonstrable expertise in Python and AWS. This role involves designing scalable AWS infrastructures and leading the implementation of LLM platforms.

Additional responsibilities include developing prompt engineering strategies and overseeing the integration of vector databases. Numerous benefits such as health and dental insurance, as well as performance-based bonuses, are also part of the package.

Qualifications

• 6+ years cloud architecture experience required.
• Experience building production GenAI/LLM systems on AWS.
• Hands-on experience with vector databases needed.

Responsibilities

• Design scalable, secure AWS architectures.
• Lead integration of API-based and self-hosted LLMs.
• Implement and maintain vector stores.

Skills

Cloud architecture experience

Python expertise

AWS experience

Production GenAI/LLM systems

Prompt design and evaluation

Education

Bachelor’s Degree

Tools

AWS Lambda

Docker

Kubernetes

Terraform

Amazon SageMaker

Job description

Benefits:

• Bonus based on performance
• Dental insurance
• Health insurance
• Vision insurance

Qualifications

• Bachelor’s Degree
• 6+ years cloud architecture experience
• 3+ years building production GenAI/LLM systems on AWS.
• Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes.
• Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads.
• Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns.
• Experience deploying and operating model-serving or MCP – like server infrastructure (selfhosted or managed).
• Proficient with IaC and delivery tooling, including Terraform/CloudFormation, GitOps, and CI pipelines.
• Experience with model-serving infrastructure, such as Amazon SageMaker, NVIDIA Triton, Ray Serve, or similar platforms.
• Hands-on experience with GenAI libraries and frameworks, including LangChain, LlamaIndex, Hugging Face, and OpenAI APIs.
• Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant.
• AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

Responsibilities

• Cloud Architecture & Infrastructure, Design scalable, secure AWS architectures
• LLM & GenAI Platforms, Lead integration of API-based and self-hosted LLMs, implement RAG solutions
• Prompting & Evaluation, Develop prompt engineering strategies, reusable templates, and evaluation frameworks
• Vector Databases & Retrieval Pipelines, Implement and maintain vector stores (OpenSearch, Pinecone, Milvus, Qdrant)
• Data Ingestion & Processing Pipelines
• Microservices & Serverless Systems
• Python Development & AI Tooling
• Security, Governance & Cross-Functional Leadership