AI/ML Engineer

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) for

high-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 pruning

for 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-world

applications.

● Deploy and scale AI models in cloud environments (AWS/GCP/Azure) with

containerization (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.