
Staff/Principal Agentic AI Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States, +1 more country.
• Create and develop AI agents that possess perception, reasoning, and the ability to act independently.
• Connect agents to external systems through REST APIs, microservices, and cloud services.
• Apply best practices to enhance performance, scalability, and security within multi-agent environments.
• Work closely with product managers and data scientists to ensure agent functionalities meet business requirements.
• Investigate new technologies in Generative AI, LLM orchestration, and multi-agent frameworks.
• Over 10 years of software development experience, particularly in AI/ML projects.
• Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related discipline.
• Practical experience in developing AI agents using frameworks such as Google ADK, LangChain, CrewAI, AutoGen, or comparable technologies.
• Proficient programming skills in Go, Rust, or Python.
• Knowledge of LLM integration, prompt engineering, and orchestrating multi-agent workflows.
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
• Understanding of Generative AI, NLP, and reinforcement learning principles.
• Experience in optimizing LLM inference.
• Background in adapting small language models (SLMs) using LoRA, QLoRA, and other PEFT techniques, including adapters, prefix tuning, and DoRA.
• Insight into instruction tuning, supervised fine-tuning (SFT), and preference alignment (DPO, RLHF).
• Experience with PL/SQL or Java is advantageous.
• Preferred: background in creating custom AI agents for enterprise workflows.
• Preferred: experience in managing agent lifecycle and AI profiles for model selection and orchestration.
• Preferred: familiarity with multi-agent collaboration and autonomous decision-making systems.
• Competitive benefits and vacation package.
• Potential eligibility for a bonus as part of overall compensation.
• Opportunities for continuous learning and professional growth.
Maneva
GOK | Digital Innovation
Thomson Reuters
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