We are looking for a skilled AI/ML Developer with 6+ years of experience in designing and developing AI agents. The ideal candidate should have expertise in reinforcement learning (RL), LLM fine-tuning, multi-agent systems, and real-time decision-making models. You will work on developing intelligent AI agents that interact autonomously, learn from their environment, and optimize performance across various applications.
Job Responsibility:
AI Agent Development: Design, build, and deploy autonomous AI agents for different applications such as chatbots, automation bots, trading bots, game AI, and real-world decision-making agents.
Reinforcement Learning (RL): Develop RL-based agents using Deep Q Networks (DQN), PPO, A3C, SAC, and other RL algorithms.
LLM & Conversational AI: Fine-tune and integrate LLMs (ChatGPT, LLaMA, Falcon, Gemini, Claude) into AI agents for contextual understanding and advanced interactions.
Multi-Agent Systems: Implement and optimize multi-agent environments where AI agents collaborate or compete to achieve tasks.
Memory & Planning in AI Agents: Work on vector databases (Pinecone, Weaviate, ChromaDB) and retrieval-augmented generation (RAG) to improve AI agent memory and planning capabilities.
Real-Time Decision Making: Develop AI models that make real-time decisions based on reinforcement learning, probabilistic models, or imitation learning.
Simulation & Training: Use environments like OpenAI Gym, Unity ML-Agents, Mujoco, or custom simulations to train AI agents.
Deployment & Integration: Deploy AI agents into real-world applications, games, customer service platforms, automation workflows, and web interfaces using APIs.
Required Skills & Qualification:
Required Skills:
Programming Languages: Strong expertise in Python (PyTorch, TensorFlow, JAX).
AI Agent Frameworks: Experience with LangChain, AutoGen, OpenAI APIs, Hugging Face Transformers, CrewAI.
Reinforcement Learning: Knowledge of Deep Q-Learning, Actor-Critic Methods (PPO, A3C, SAC), Monte Carlo Tree Search (MCTS).
