Job
Description
You will be responsible for designing, developing, and deploying Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Additionally, you will build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. You are expected to work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools. Integration of models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems is a key part of your role. Optimizing inference pipelines for performance, latency, and scalability is also within your responsibilities. Collaboration with product managers and data scientists to prototype and productionize AI features is essential. Staying updated on recent advancements in Generative AI and autonomous agents is crucial to excel in this position. Qualifications required for this role include 3+ years of hands-on experience in Machine Learning / Deep Learning, with at least 1-2 years in Generative AI and/or AI Agents. Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Transformers (Hugging Face) is necessary. Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications is a must. A solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning is expected. Familiarity with agent orchestration frameworks and LLM tool chaining will be an added advantage. Strong problem-solving and communication skills are essential for this role. You will be responsible for designing, developing, and deploying Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Additionally, you will build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. You are expected to work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools. Integration of models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems is a key part of your role. Optimizing inference pipelines for performance, latency, and scalability is also within your responsibilities. Collaboration with product managers and data scientists to prototype and productionize AI features is essential. Staying updated on recent advancements in Generative AI and autonomous agents is crucial to excel in this position. Qualifications required for this role include 3+ years of hands-on experience in Machine Learning / Deep Learning, with at least 1-2 years in Generative AI and/or AI Agents. Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Transformers (Hugging Face) is necessary. Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications is a must. A solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning is expected. Familiarity with agent orchestration frameworks and LLM tool chaining will be an added advantage. Strong problem-solving and communication skills are essential for this role.
