Brooksource

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, AI/ML concepts, agentic workflows, and AWS experience. A Bachelor's in Computer Science or related field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 23, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Cloud #Python #Automation #Langchain #Computer Science #Scala #AI (Artificial Intelligence) #Regression #Microservices #AWS (Amazon Web Services) #ML (Machine Learning)
Role description
Job Summary We are seeking a highly motivated and technically skilled AI Engineer to join our growing team. The ideal candidate will have a solid background in software development and hands-on experience designing and building agentic workflows. This role offers an exciting opportunity to work on cutting-edge AI systems and contribute to the development of intelligent, autonomous solutions that drive business value. Duties and Responsibilities β€’ Design, build, and maintain agentic workflows and autonomous systems β€’ Develop and integrate AI models into production-grade applications β€’ Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions β€’ Implement orchestration logic for multi-agent systems and task automation β€’ Write clean, scalable, and maintainable code in support of AI initiatives β€’ Monitor and optimize the performance of AI systems in production β€’ Stay current with advancements in AI, LLMs, and agentic architectures Requirements and Qualifications β€’ Strong software development skills with proficiency in Python or similar languages β€’ Practical prompt engineering & prompt lifecycle management (versioning, regression testing). β€’ Experience designing and building agentic workflows or multi-agent systems β€’ Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar) β€’ Solid understanding of AI/ML concepts, including LLMs and prompt engineering β€’ Hands-on experience with the cloud platform AWS β€’ Knowledge of APIs, microservices, and system integration β€’ Excellent problem-solving and communication skills β€’ Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience) Nice to Have (Differentiators) AWS & Platform: β€’ Bedrock Knowledge Bases, Agents, Guardrails, early adoption/integration patterns. β€’ Amazon Q or similar copilots in internal tooling contexts. β€’ Hybrid retrieval (BM25 + vector fusion, rerankers) or experimentation with multi-vector approaches.