Solution Architect

Trackmind; New Jersey; On-site; USD 120,000 - 150,000; Full time

Job summary

Trackmind is looking for highly experienced Technical Architects, Solution Architects, and AI Tech Leads with strong expertise in Python and Generative AI. The role involves designing and implementing LLM-powered applications utilizing RAG architectures, building AI agents, and developing scalable AI solutions.

The ideal candidate should have over 10 years of Python Development & Machine Learning experience, with 3+ years dedicated to generative architectures like LLMs.

Qualifications

• 10+ years of Python Development & Machine Learning experience.
• 3+ years of hands-on experience with GenAI, LLMs, and RAG architectures.
• Strong expertise in LangChain and/or LangGraph.

Responsibilities

• Design and implement LLM-powered applications using RAG architectures.
• Build and orchestrate AI agents using LangChain and LangGraph.
• Develop scalable AI/ML solutions and semantic retrieval systems.

Skills

Python Development

Machine Learning

Generative AI

RAG architectures

LangChain

LangGraph

AI Agents

Vector Databases

Semantic Search

REST API development

Cloud deployment

Docker

Kubernetes

Git

CI/CD

MLOps

LLMOps

Tools

PyTorch

TensorFlow

Hugging Face

Scikit-learn

Pandas

NumPy

Job description

We are seeking highly experienced Technical Architects, Solution Architects, and AI Tech Leads with deep expertise in Python, Generative AI, Machine Learning, LLMs, RAG, and Agentic AI to help build next-generation AI‑powered applications.

Responsibilities

• Design and implement LLM-powered applications using RAG architectures
• Build and orchestrate AI agents using LangChain and LangGraph
• Develop scalable AI/ML solutions and semantic retrieval systems
• Fine‑tune, evaluate, and optimize LLM performance
• Architect enterprise‑grade AI platforms and deployment strategies
• Establish MLOps/LLMOps best practices and governance frameworks

Qualifications

• 10+ years of Python Development & Machine Learning experience
• 3+ years of hands‑on experience with GenAI, LLMs, and RAG architectures
• Strong expertise in LangChain and/or LangGraph
• Experience building AI Agents and Multi‑Agent Systems
• Expertise with Vector Databases, Semantic Search, and Retrieval Systems
• Hands‑on experience with PyTorch, TensorFlow, Hugging Face, Scikit‑learn, Pandas, NumPy
• REST API development using FastAPI or Flask
• Cloud deployment experience on AWS, Azure, or GCP
• Strong knowledge of Docker, Kubernetes, Git, CI/CD, MLOps, and LLMOps
• Experience with Prompt Engineering, AI Evaluation, Monitoring, and Governance

Preferred Qualifications

• Experience with Azure OpenAI, LlamaIndex, LangSmith, or similar frameworks
• Exposure to AI evaluation, monitoring, and guardrail frameworks
• Contributions to open‑source AI/ML projects
• Experience integrating AI solutions with React‑based applications