CrewAI Engineer | Codersbrain
contractual
Posted on September 1, 2025
Job Description
AI/ML Automation Engineer
Company Overview
Details about the company, its industry, and culture are not provided.
Job Summary
The AI/ML Automation Engineer will design, develop, and implement advanced artificial intelligence and machine learning solutions. This role focuses on leveraging orchestration frameworks and LLMs to create high-performance, agent-based systems that meet business needs effectively.
Responsibilities
- Develop and implement AI/ML algorithms and automation solutions leveraging frameworks such as CrewAI, LangChain, AutoGen, or Semantic Kernel.
- Utilize proficiency in Python for building scalable applications, including async programming and API integration.
- Explore and apply knowledge of large language models (LLMs) to enhance system performance and user experience.
- Integrate and manage vector databases like Pinecone, FAISS, or Chroma for embedding functionalities.
- Design and deploy production-ready, agent-based solutions while ensuring reliability and scalability.
- Solve complex problems and translate business requirements into effective technical implementations.
Qualifications
- 5–8 years of experience in AI/ML or automation engineering.
- Strong hands-on experience with LLM orchestration frameworks.
- Proficiency in Python, including async programming and API integration.
- Deep understanding of various LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering techniques.
- Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and knowledge of embeddings.
- Solid understanding of Retrieval-Augmented Generation (RAG) concepts.
- Required knowledge of React.js.
- Strong problem-solving skills and ability to translate business requirements into technical specifications.
Preferred Skills
No additional preferred skills are specified.
Experience
- A minimum of 5 years of experience in relevant AI/ML and automation engineering fields is required.
Environment
Specific work setting details, location, and physical/environmental conditions are not specified.
Salary
Salary details are not provided.
Growth Opportunities
Information regarding potential career advancement opportunities is not available.
Benefits
Details regarding offered benefits are not specified.