Javen Technologies
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
Design, build, and maintain agentic workflows and autonomous systems Develop and integrate AI models into production-grade applications Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions Implement orchestration logic for multi-agent systems and task automation Write clean, scalable, and maintainable code in support of AI initiatives Monitor and optimize the performance of AI systems in production Stay current with advancements in AI, LLMs, and agentic architectures Requirements and Qualifications
This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. The work involves using AWS tools to design and build AI-driven systems - not just training or fine-tuning models, but also crafting effective prompts, validating model performance through data analysis, and managing risks like hallucinations or bias. The role requires building prototype-level data pipelines that move data to and from models for training, evaluation, and review. Strong software development skills with proficiency in Python,JupyterHub, GitHub, Visual Studio, etc. Exposure to designing and building agentic workflows or multi-agent systems.
Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar) Solid understanding of AI/ML concepts, including LLMs and prompt engineering Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes) Excellent problem-solving and communication skills Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
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
Design, build, and maintain agentic workflows and autonomous systems Develop and integrate AI models into production-grade applications Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions Implement orchestration logic for multi-agent systems and task automation Write clean, scalable, and maintainable code in support of AI initiatives Monitor and optimize the performance of AI systems in production Stay current with advancements in AI, LLMs, and agentic architectures Requirements and Qualifications
This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. The work involves using AWS tools to design and build AI-driven systems - not just training or fine-tuning models, but also crafting effective prompts, validating model performance through data analysis, and managing risks like hallucinations or bias. The role requires building prototype-level data pipelines that move data to and from models for training, evaluation, and review. Strong software development skills with proficiency in Python,JupyterHub, GitHub, Visual Studio, etc. Exposure to designing and building agentic workflows or multi-agent systems.
Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar) Solid understanding of AI/ML concepts, including LLMs and prompt engineering Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes) Excellent problem-solving and communication skills Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)