IMCS Group · 16 hours ago
Senior Technology Architect | Cloud Platform | Google Machine Learning
IMCS Group is one of the fastest growing MWBE staffing firms in the U.S. We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions, focusing on Generative AI models and integrating AI capabilities into applications and workflows.
Staffing & Recruiting
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
Qualification
Required
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
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
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
Preferred
GCP
Prompt Engineering
Company
IMCS Group
IMCS Group is an IT, Healthcare, and Professional Staffing Company that helps Enterprises optimize the business value of their Staffing investments and enables them to achieve world-class business performance.