Role & responsibilities

The ideal candidate will have hands-on experience building autonomous AI agents using large language models (LLMs), agent frameworks, and modern AI infrastructure. As an AI Agent & Automation Developer, you will design, implement, and deploy intelligent agents that operate autonomously within digital environments, driving innovation and operational excellence. This role supports organizational transformation by solving complex business challenges through intelligent automation, agent orchestration, and advanced analytics. You must be adaptable, collaborative, and eager to learn new technologies to address multifaceted business problems.
A successful candidate is a proactive problem-solver with robust software engineering skills, ready to thrive in a fast-paced environment and communicate effectively with both technical and business stakeholders.

Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks.
Develop agent architectures that support autonomy, interactivity, and task completion.
Integrate agents into applications,



APIs, or workflows (e.g., chatbots, automation tools).
Collaborate with researchers, engineers, and product teams to iterate on agent capabilities.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction.
Engineer and manage context for agents to ensure they access the right information at the right time. This includes applying methods such as:
Prompt Engineering injecting information directly into prompts.
Fine-tuning training models on additional data to embed knowledge (where applicable).
Retrieval-Augmented Generation (RAG) embedding documents into vector databases and retrieving semantically relevant information.
Tool Use leveraging sub-agents or deterministic models to locate and add relevant context.
Hybrid Approaches – combining two or more methods to maximize reliability and relevance.
Monitor performance, conduct evaluations, and implement

📌 AI Agent (India)
🏢 Cherry Bekaert
📍 India