Hybrid AI Engineer - LLM & ML Solutions Architect

Mindlance; Washington (District of Columbia); Hybrid; USD 110,000 - 180,000; Full time

Job summary

Mindlance is seeking an AI Engineer to design, develop, and deploy AI-powered solutions that solve real business problems. The role covers ML, generative AI, and working with LLMs, with opportunities across junior to senior levels in Washington DC hybrid setup.

You'll build data pipelines, APIs, and back-end services for AI models; optimize performance; collaborate with cross-functional teams; stay current with AI trends.

Qualifications

• Proficiency in Python and ML fundamentals.
• Experience with LLMs and generative AI.
• Familiarity with ML frameworks (PyTorch/TensorFlow/HuggingFace/LangChain).
• Knowledge of vector storage and RAG concepts.
• Experience building REST APIs (FastAPI/Flask) and working with SQL/NoSQL databases.
• Git/version control and cloud platform knowledge (AWS/Azure/GCP).
• Understands MLOps and CI/CD pipelines.

Responsibilities

• Design, develop, and deploy AI/ML solutions for business applications.
• Build Generative AI and LLM-based applications.
• Develop data pipelines for structured and unstructured data.
• Create APIs and backend services for AI models.
• Optimize model performance, scalability, and reliability.
• Collaborate with cross-functional teams to gather requirements.
• Monitor and improve deployed AI applications.
• Stay up to date with emerging AI technologies.

Skills

Python

ML concepts

LLMs

AI frameworks

Vector databases

RAG concepts

REST APIs

SQL/NoSQL

Git

Cloud platforms

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

Git

CI/CD tooling

Job description

Mindlance is seeking an AI Engineer to design, develop, and deploy AI-powered solutions that solve real business problems. The role covers ML, generative AI, and working with LLMs, with opportunities across junior to senior levels in Washington DC hybrid setup.

You'll build data pipelines, APIs, and back-end services for AI models; optimize performance; collaborate with cross-functional teams; stay current with AI trends.