GEN AI engineer - W2

Title                                       : GEN AI engineer

Location                               : Dallas
Duration                              :12 Months

Rate                                        : $67/Hr On W2

Relevant Experience (in Yrs.)    : 10

Detailed Job Description:

Strong hands on experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines
Extensive experience with LangChain, LangGraph, CrewAI, multi‐agent orchestration
Strong MLOps / LLMOps experience with CI/CD automation
Experience across AWS (SageMaker, Lambda, EKS, S3) and Google Cloud Platform (Vertex AI)
API & microservices development using FastAPI, REST, Docker, Kubernetes
·Strong Python proficiency with PyTorch/TensorFlow
Strong MLOps/LLMOps experience with CI/CD automation,

Extensive experience with LangChain, LangGraph, and agentic AI patterns including routing, memory, multi-agent orchestration, guardrails, and failure recovery.
Experience in Developing microservices and API development using FastAPI, REST APIs, Pydantic/JSON schemas, Docker, and Kubernetes for low-latency serving.
Strong Hands-on experience with vector databases and semantic search technologies including Pinecone, FAISS, ChromaDB, and embedding lifecycle management.
Knowledge and experience with vector databases and RAG technique for semantic search.
Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, Google Cloud Platform Vertex AI).
Understanding of MLOps practices for scalable AI deployment.
Strong experience in working with LLM fine-tuning with LoRA, QLoRA, PEFT,
Strong experience in Architected advanced RAG systems using Pinecone, FAISS, Weaviate, Chroma, hybrid retrieval, and custom embeddings,
Strong experience in Designing end-to-end LLMOps/MLOps pipelines using MLflow, DVC, SageMaker Pipelines, Vertex AI Pipelines, and GitHub Actions
Experience in using cloud-native AI systems on AWS (SageMaker, Lambda, EKS, EC2, Step Functions, S3, Glue) and Google Cloud Platform Vertex AI, supporting high-volume inference and secure enterprise operations
Experience in developing multi-agent orchestration workflows using LangGraph and CrewAI for tool-calling, validation agents, automated reasoning, and workflow supervision

Must Have Skills:

• Python (PyTorch / TensorFlow)
• Generative AI
• LangChain, LangGraph
• MLOps / LLMOps
• FastAPI, REST APIs, Pydantic

Thanks & Regards 

B.Laxmi
Technical Recruiter 

ASCII Group LLC

38345 West 10 Mile Rd, STE 365 Farmington, MI
48335, United States
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