

Brooksource
Artificial Intelligence Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
October 23, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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’ Bachelorβs 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.
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’ Bachelorβs 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.






