AIML Engineer

Job Title: Gen AI Engineer

Work Location : Irving TX 75039 or Charlotte NC (Hybrid)

Contract duration: 12 Months

Must Have Skills:

GEN AI

Agentic AI

Cortex AI

ML Ops

Python

ML

Data Science

RAG

LLM

Nice to Have Skills:

GCP

Prompt Engineering

Detailed Job Description:

We are seeking a highly skilled Generative AI Engineer with a strong Python background to design develop and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs) prompt engineering and Gen AI frameworks along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions.

Key Responsibilities:

Design and implement Generative AI models for text image or multimodal applications.

Develop prompt engineering strategies and embedding-based retrieval systems.

Integrate Gen AI capabilities into web applications and enterprise workflows.

Build agentic AI applications with context engineering and MCP tools.

Required Skills & Qualifications:

10 years of hands-on experience in AI Data science ML GEN AI.

Strong hands on experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines

Strong hands on experience with RAG pipelines and vector databases

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 GCP (Vertex AI)

API & microservices development using FastAPI REST Docker Kubernetes

Strong Python proficiency with PyTorch / TensorFlow

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

Strong proficiency in Python and AI/ML frameworks (PyTorch TensorFlow).

Hands on experience using session and memory for building multi-agent systems along with using MCP tools.

Hands-on experience with LLMs transformers and Hugging Face ecosystem.

Knowledge and experience with vector databases and RAG technique for semantic search.

Familiarity with cloud AI services (AWS SageMaker Azure OpenAI GCP 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 GCP 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

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Strong experience in GEN AI LLM RAG ML DL Cortex AI ML Ops LLMOps Cloud platform Model servicing optimization Python

Strong communication skills

Strong programming skills