Senior AI Agent Developer
We are seeking a Senior AI Agent Developer with a strong technical background in AI, software engineering, and data analytics to build intelligent, autonomous multi-agent systems for real-world use cases.
Key Responsibilities :
- Research, design, and build custom LLM models tailored for specific business or domain-specific use cases.
- Perform data preprocessing, training, fine-tuning, and evaluation of LLMs using large-scale or proprietary datasets.
- Collaborate with data scientists and ML engineers to identify optimal architecture and training strategies.
- Optimize model performance and scalability for production deployment.
- Stay updated on state-of-the-art techniques in LLMs and generative AI. Design, develop, and deploy
- Build and maintain MLOps pipelines for continuous training, deployment, and monitoring.
- Ensure agents meet high standards of performance, security, and compliance.
- Collaborate with cross-functional teams in engineering, design, and product.
- Apply advanced prompt engineering techniques to optimize agent behavior and 5+ years in software engineering, data science, or machine learning.
- Proficiency in Python and familiarity with LLMs, Prompt engineering.
- Experience working with MCP client-server architecture for secure communication and integration.
- Knowledge of multi-agent frameworks (e.g., AutoGen, LangChain).
- Strong debugging skills and understanding of data security principles.
- Experience with MLOps, containerization, infrastructure-as-code, and monitoring.
Preferred Skills :
Experience with vector databases (eg.Pinecone, Weaviate), speech / text processing, and automation workflows.Familiarity with tools such as TensorFlow, PyTorch, and Hugging Face.Knowledge of NLP, RAG, and Knowledge Graphs.Background in customer service automation or predictive analytics.Bachelors degree in statistics, CS, or related field. Certifications in AI are a Innovate using statistical models and ML techniques to solve real-world problemsDrive impact through AI-powered automation, optimization, and insight delivery.Enhance business processes by integrating actionable data strategies and analytics.(ref : hirist.tech)