AI Agent Developer

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November 9

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AGENTIC

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Artificial Intelligence • B2B • Enterprise

AGENTIC is a B2B conference and event series focused on the autonomous AI era, convening enterprise leaders, builders, policymakers, and vendors to explore and operationalize AI agents, generative AI, and automation. The event offers keynotes, workshops, executive roundtables, and an interactive "Vibe Lounge" to showcase tools, enable hands-on demos, and drive measurable, outcomes-focused connections between buyers and solution providers across industries like healthcare, finance, retail, manufacturing, media, and government. AGENTIC emphasizes trust-driven growth, responsible AI governance, and practical deployment strategies to help organizations adopt AI at scale.

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Design and develop AI-driven agents for customer service, process automation, and knowledge retrieval. • Implement LLMs (Large Language Models) and NLP techniques to improve AI agent capabilities. • Optimize prompt engineering and retrieval-augmented generation (RAG) techniques for efficiency and accuracy. • Integrate AI models with APIs, cloud services, and existing enterprise systems. • Fine-tune AI models and continuously improve their context awareness and problem-solving capabilities. • Work with vector databases, embeddings, and knowledge graphs for AI memory and reasoning. • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deploy AI-driven solutions. • Monitor and improve AI performance using A/B testing, feedback loops, and real-world user interactions.

🎯 Requirements

• Proficiency in AI/ML frameworks : TensorFlow, PyTorch, LangChain, OpenAI API, Hugging Face, or similar. • Strong experience in NLP, LLM fine-tuning, and embedding models. • Hands-on experience with retrieval-augmented generation (RAG) and prompt engineering. • Expertise in Python, FastAPI, Flask, or similar backend frameworks. • Experience with vector databases (Pinecone, Weaviate, FAISS, ChromaDB, etc.). • Knowledge of cloud services (AWS, Azure, or GCP) and serverless architectures. • Experience integrating AI with API-driven applications and automation workflows. • Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies. • Strong problem-solving and analytical skills, with a passion for AI innovation.

🏖️ Benefits

• 100% remote role with a flexible schedule • Opportunities for growth and continuous learning in AI • Engage in cutting-edge AI projects that make a real impact