AI/ML Engineer
CCS INC•Plano, TX
•$65 - $75
About The Position
This role focuses on designing and implementing scalable, secure AWS architectures for LLM and GenAI platforms. The engineer will lead the integration of API-based and self-hosted LLMs, implement RAG solutions, and develop prompt engineering strategies. Responsibilities also include developing and maintaining vector stores, data ingestion and processing pipelines, microservices, serverless systems, and Python development for AI tooling, while ensuring security, governance, and cross-functional leadership.
Requirements
- 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
Benefits
- Bonus based on performance
- Dental insurance
- Health insurance
- Vision insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
