AIML 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 looking for a skilled cloud architect to design scalable, secure AWS architectures, integrating API-based and self-hosted LLMs. Candidates should have 6+ years of experience and expertise in Python along with strong AWS skills.

Responsibilities include maintaining vector databases and developing data ingestion pipelines. Candidates should hold a Bachelor’s Degree and relevant AWS certifications. The role offers benefits like health and dental insurance, as well as performance-based bonuses.

Qualifications

• 6+ years cloud architecture experience.
• 3+ years building production GenAI/LLM systems on AWS.
• Experience with vector databases and designing ingestion pipelines.

Responsibilities

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

Skills

Cloud architecture experience

Strong Python expertise

AWS experience

GenAI/LLM systems development

Education

Bachelor’s Degree

Tools

AWS (Lambda, ECS/EKS, S3, SageMaker)

Docker

Kubernetes

Terraform/CloudFormation

GenAI libraries (LangChain, Hugging Face)

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 (self‑hosted 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