About the Role
We are looking for a GenAI / ML Engineer to join our AI & Machine Learning team and drive the
development of autonomous AI agents. You will work at the forefront of Generative AI,
Reinforcement Learning (RL), and Large Language Models (LLMs) to design, build, and deploy
intelligent, self-improving AI agents capable of reasoning, planning, and interacting dynamically.
Key Responsibilities
- Develop & optimize AI agents using cutting-edge techniques in LLMs, Reinforcement
Learning (RL), and Deep Learning.
Architect and implement multi-agent systems capable of collaboration, decision-making,and task execution.
Design, train, and fine-tune large-scale generative models (e.g., GPT, LLaMA, Claude,Mistral).
Leverage prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) forhigh-performance AI behavior.
Build reasoning & planning capabilities into AI systems using Tree of Thoughts (ToT),Monte Carlo Tree Search (MCTS), and Reinforcement Learning with Human Feedback
(RLHF).
Optimize model efficiency through techniques like quantization, distillation, and pruningfor real-time applications.
Implement memory and persistence in AI agents using vector databases (e.g., FAISS,Pinecone, ChromaDB).
Develop AI-powered tools, copilots, and autonomous workflows for real-worldapplications.
Deploy and scale AI models in cloud environments (AWS / GCP / Azure) withcontainerization (Docker, Kubernetes).
Stay ahead of the latest AI research and actively contribute to R&D initiatives.Required Qualifications
Education & Experience
Bachelor’s / Master’s in Computer Science, Machine Learning, AI, or related field.2-5+ years of experience in ML / AI model development, ideally with Generative AI &Autonomous Agents.
Technical Skills
Strong programming skills in Python (NumPy, Pandas, PyTorch, TensorFlow).Experience with LLMs & NLP frameworks (Hugging Face, LangChain, OpenAI API,LlamaIndex).
Hands-on experience in transformer architectures, diffusion models, and multimodal AI.Proficiency in vector databases & knowledge graphs (Milvus, Pinecone, Weaviate).Experience with MLOps, model deployment, and optimization.Familiarity with cloud platforms (GCP) and containerization (Docker, Kubernetes,Terraform).
Soft Skills
Strong problem-solving and research mindset.Ability to work cross-functionally with engineers, product teams, and customers.Passion for cutting-edge AI and autonomous systems.Excellent communication and documentation skills.