Resource Logistics
Generative AI & Agentic Systems Consultant (Solution Architect)
Resource Logistics, Dallas, Texas, United States, 75215
Job Title: Generative AI & Agentic Systems Consultant ( Solution Clienthitect) Contract
Remote workWe are looking for Solution Clienthitect, who is very strong in Gen AI, LangChain, CrewAI, RAG, Python (FastAPI, Flask) or Node.js. Pls share profiles asap.
Role Overview We are seeking a hands‑on Generative AI & Agentic Systems Consultant with proven experience in building and deploying production‑grade Gen AI systems, including Retrieval‑Augmented Generation (RAG) pipelines and agentic AI prototypes. This role requires strong full‑stack engineering skills, deep AI/ML expertise, and the ability to collaborate effectively across global teams.
Key Responsibilities
Design and implement RAG‑based Gen AI solutions using LLMs and vector databases, with successful deployment in production environments.
Build agentic AI prototypes using frameworks like LangChain, CrewAI, or custom orchestration tools.
Fine‑tune and optimize LLMs for domain‑specific tasks and enterprise use cases.
AI System Development
Design and implement RAG-based Gen AI solutions using LLMs and vector databases, with successful deployment in production environments.
Build agentic AI prototypes using frameworks like LangChain, CrewAI, or custom orchestration tools.
Fine‑tune and optimize LLMs for domain‑specific tasks and enterprise use cases.
Full‑Stack Engineering
Develop intuitive front‑end interfaces using React, Next.js, and TypeScript.
Build robust back‑end services and APIs using Python (FastAPI, Flask) or Node.js.
Integrate Gen AI capabilities into enterprise applications and workflows.
Infrastructure & Deployment
Deploy AI systems on cloud platforms (Clienture, AWS, GCP) using Docker, Kubernetes and CI/CD pipelines.
Implement monitoring, logging, and feedback loops for continuous improvement and reliability.
Security & Governance
Apply best practices for prompt safety, content moderation, and access control.
Ensure compliance with data privacy regulations and ethical AI standards.
Collaboration & Enablement
Work closely with cross‑functional teams including product managers, data scientists, and software engineers.
Coordinate effectively with offshore and distributed teams, managing time zone differences and ensuring smooth collaboration.
Mentor junior developers and contribute to internal knowledge sharing and capability building.
Technical Stack & Skills: AI/ML & Agentic Systems
LLMs & APIs: OpenAI, Anthropic, Mistral, Hugging Face Transformers
Agent Frameworks: LangChain, CrewAI, AutoGPT, Semantic Kernel
Vector Databases: FAISS, Pinecone, Weaviate, Chroma
RAG & Embeddings: OpenAI Embeddings, Cohere, SentenceTransformers
Model Hosting: Hugging Face Spaces, Replicate, Modal, Vercel AI SDK
Full‑Stack Development
Frontend: React, Next.js, Tailwind CSS, TypeScript
Backend: Python (FastAPI, Flask), Node.js, Express
Databases: PostgreSQL, MongoDB, Redis
Authentication: OAuth2, JWT, Auth0
DevOps & Cloud
Cloud Platforms: Clienture, AWS, GCP
Containerization: Docker, Kubernetes
CI/CD: GitHub Actions, GitLab CI, Jenkins
Monitoring: Prometheus, Grafana, ELK Stack
Other Tools
Git, VS Code, Jupyter, Postman, LangSmith, Gradio, Streamlit
Soft Skills & Collaboration
Excellent communication skills to bridge technical and non‑technical teams.
Strong interpersonal skills for working in agile, cross‑functional environments.
Experience in offshore team coordination, including managing handoffs, aligning priorities, and ensuring delivery quality.
Proactive problem‑solving mindset with a focus on business impact.
Ability to mentor and upskill team members in Gen AI technologies.
Required Qualifications
Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
6 years of experience in software engineering and AI/ML development.
Proven experience building and deploying Gen AI applications end‑to‑end.
Strong understanding of prompt engineering, model fine‑tuning, and evaluation.
Preferred Qualifications
Experience with multimodal AI (text, image, audio).
Familiarity with enterprise‑grade AI deployments and governance.
Contributions to open‑source AI projects or technical publications.
#J-18808-Ljbffr
Role Overview We are seeking a hands‑on Generative AI & Agentic Systems Consultant with proven experience in building and deploying production‑grade Gen AI systems, including Retrieval‑Augmented Generation (RAG) pipelines and agentic AI prototypes. This role requires strong full‑stack engineering skills, deep AI/ML expertise, and the ability to collaborate effectively across global teams.
Key Responsibilities
Design and implement RAG‑based Gen AI solutions using LLMs and vector databases, with successful deployment in production environments.
Build agentic AI prototypes using frameworks like LangChain, CrewAI, or custom orchestration tools.
Fine‑tune and optimize LLMs for domain‑specific tasks and enterprise use cases.
AI System Development
Design and implement RAG-based Gen AI solutions using LLMs and vector databases, with successful deployment in production environments.
Build agentic AI prototypes using frameworks like LangChain, CrewAI, or custom orchestration tools.
Fine‑tune and optimize LLMs for domain‑specific tasks and enterprise use cases.
Full‑Stack Engineering
Develop intuitive front‑end interfaces using React, Next.js, and TypeScript.
Build robust back‑end services and APIs using Python (FastAPI, Flask) or Node.js.
Integrate Gen AI capabilities into enterprise applications and workflows.
Infrastructure & Deployment
Deploy AI systems on cloud platforms (Clienture, AWS, GCP) using Docker, Kubernetes and CI/CD pipelines.
Implement monitoring, logging, and feedback loops for continuous improvement and reliability.
Security & Governance
Apply best practices for prompt safety, content moderation, and access control.
Ensure compliance with data privacy regulations and ethical AI standards.
Collaboration & Enablement
Work closely with cross‑functional teams including product managers, data scientists, and software engineers.
Coordinate effectively with offshore and distributed teams, managing time zone differences and ensuring smooth collaboration.
Mentor junior developers and contribute to internal knowledge sharing and capability building.
Technical Stack & Skills: AI/ML & Agentic Systems
LLMs & APIs: OpenAI, Anthropic, Mistral, Hugging Face Transformers
Agent Frameworks: LangChain, CrewAI, AutoGPT, Semantic Kernel
Vector Databases: FAISS, Pinecone, Weaviate, Chroma
RAG & Embeddings: OpenAI Embeddings, Cohere, SentenceTransformers
Model Hosting: Hugging Face Spaces, Replicate, Modal, Vercel AI SDK
Full‑Stack Development
Frontend: React, Next.js, Tailwind CSS, TypeScript
Backend: Python (FastAPI, Flask), Node.js, Express
Databases: PostgreSQL, MongoDB, Redis
Authentication: OAuth2, JWT, Auth0
DevOps & Cloud
Cloud Platforms: Clienture, AWS, GCP
Containerization: Docker, Kubernetes
CI/CD: GitHub Actions, GitLab CI, Jenkins
Monitoring: Prometheus, Grafana, ELK Stack
Other Tools
Git, VS Code, Jupyter, Postman, LangSmith, Gradio, Streamlit
Soft Skills & Collaboration
Excellent communication skills to bridge technical and non‑technical teams.
Strong interpersonal skills for working in agile, cross‑functional environments.
Experience in offshore team coordination, including managing handoffs, aligning priorities, and ensuring delivery quality.
Proactive problem‑solving mindset with a focus on business impact.
Ability to mentor and upskill team members in Gen AI technologies.
Required Qualifications
Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
6 years of experience in software engineering and AI/ML development.
Proven experience building and deploying Gen AI applications end‑to‑end.
Strong understanding of prompt engineering, model fine‑tuning, and evaluation.
Preferred Qualifications
Experience with multimodal AI (text, image, audio).
Familiarity with enterprise‑grade AI deployments and governance.
Contributions to open‑source AI projects or technical publications.
#J-18808-Ljbffr