We are looking for an AI Engineer to join our growing team in United States!

Location: United States (remote)

About the Role

We are looking for an experienced AI Engineer to design, build, and deploy AI-powered solutions, with a strong focus on Generative AI (GenAI) applications and AI agent frameworks. The ideal candidate will have hands-on experience building production-grade AI systems and a solid understanding of modern LLM-based architectures.

Key Responsibilities

1. Design, develop, and deploy machine learning and generative AI models/solutions for business use cases

2. Build and orchestrate AI agents capable of autonomous task execution, tool use, and multi-step reasoning

3. Fine-tune and optimize large language models (LLMs) for specific domains and applications

4. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines

5. Collaborate with cross-functional teams (product, data engineering, architecture) to translate business requirements into AI solutions

6. Implement prompt engineering best practices and evaluate model outputs for accuracy, safety, and performance

7. Build scalable APIs/services to deploy AI models into productionMonitor, evaluate, and continuously improve AI model performance (accuracy, latency, cost)

8. Ensure responsible AI practices - bias mitigation, guardrails, and data privacy compliance

9. Stay current with emerging AI/ML tools, frameworks, and research

Required Skills & Qualifications

• 3+ years of experience with AI/ML engineering or related roles
• Strong hands-on experience with Generative AI (GenAI) - LLMs, prompt engineering, fine-tuning
• Practical knowledge of AI agents and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar)
• Proficiency in Python and common ML/AI libraries (PyTorch, TensorFlow, Hugging Face, etc.)
• Experience with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI, etc.)
• Experience building RAG pipelines and working with vector databases (Pinecone, FAISS, Weaviate, etc.)Solid understanding of NLP concepts and model evaluation techniques
• Experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deploymentFamiliarity with MLOps practices - CI/CD for ML, model monitoring, versioning
• Strong problem-solving skills and ability to work in a fast-paced, evolving environment
• Excellent communication skills to collaborate with technical and non-technical stakeholders

Good to Have

• Experience with multi-agent orchestration and tool-calling frameworks
• Knowledge of AI governance, responsible AI, and model risk management
• Experience with containerization (Docker, Kubernetes)
• Exposure to domain-specific AI applications (e.g., healthcare, finance, insurance)

• A Competitive pay, the salary range for the role is $110-115k annually.

If you like what you have read, send us your resume and let's start talking!

• Intrigued to find more about us?

• Visit our website at QualityAI (Formerly Qualitest Group) | World's Leading AI-First Quality Engineering Company
• LinkedIn: https://www.linkedin.com/company/qualityaigroup