AI Engineer

VST Consulting, Inc
Detroit, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Detroit, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Code Review
DevOps
Memory Management
Graph Database
Python
Machine Learning
Open Source Technology
Search Technologies
Software Engineering
Data Processing
Google Cloud Platform
Enterprise Software Applications
Large Language Models
Multi-Agent Systems
Prompt Engineering
Deep Learning
Model Validation
Generative AI
Backend
Kubernetes
Information Technology
Production Code
Machine Learning Operations
Virtual Agents
Api Design
Docker
Microservices

Job description

We are seeking an experienced AI Engineer with expertise in Large Language Models (LLMs), Agentic AI frameworks, Python development, and Generative AI solutions. The ideal candidate will design, develop, and deploy intelligent AI systems leveraging modern LLMs, autonomous agents, Retrieval-Augmented Generation (RAG), and enterprise AI integrations. Key Responsibilities LLM & Generative AI

  • Design and implement applications using Large Language Models (LLMs).

  • Fine-tune, evaluate, and optimize foundation models.

  • Develop RAG-based solutions using vector databases.

  • Build prompt engineering and prompt optimization frameworks.

  • Integrate AI models from providers such as OpenAI, Anthropic, Google, and open-source models. Agentic AI Development

  • Design and develop autonomous AI agents capable of planning, reasoning, and executing tasks.

  • Build multi-agent systems for business process automation.

  • Implement agent orchestration, memory management, and tool integrations.

  • Develop AI copilots and virtual assistants.

  • Monitor agent performance, safety, and governance. Python Development

  • Develop scalable backend services using Python.

  • Create APIs and microservices for AI applications.

  • Build data processing and ML pipelines.

  • Write reusable, maintainable, and production-grade code.

  • Perform code reviews and optimize performance. AI Solution Architecture

  • Design enterprise AI architectures.

  • Integrate AI solutions with cloud platforms and enterprise systems.

  • Establish MLOps and LLMOps practices.

  • Ensure security, compliance, and responsible AI standards.

Requirements

Technical Skills

  • Strong proficiency in Python.

  • Experience with Generative AI and LLM technologies.

  • Knowledge of Agentic AI frameworks such as: o LangGraph o LangChain o CrewAI o AutoGen o Semantic Kernel

  • Experience with: o RAG architectures o Vector databases (Pinecone, Chroma, Weaviate, FAISS) o Prompt Engineering o Fine-tuning and model evaluation o API development Machine Learning & AI

  • NLP fundamentals

  • Deep Learning concepts

  • Model evaluation and monitoring

  • Embeddings and vector search Cloud & DevOps

  • AWS, Azure, or Google Cloud Platform

  • Docker and Kubernetes

  • CI/CD pipelines

  • MLOps / LLMOps Preferred Qualifications

  • Bachelor''s or Master''s degree in Computer Science, AI, Data Science, or related field.

  • 3-10+ years of software development experience.

  • Hands-on experience delivering AI solutions to production.

  • Experience with enterprise AI governance and security. Good to Have

  • Knowledge Graphs

  • MCP (Model Context Protocol)

  • AI Agent Orchestration Platforms

  • Multi-modal AI (Text, Image, Audio, Video)

  • Fine-tuning open-source models (Llama, Mistral, Gemma)

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