Applied AI Engineer

About the role

Position Overview We are hiring a Machine Learning / AI Engineer with 3–6 years of experience designing and deploying AI systems in production environments. This role requires strong Python expertise, hands-on experience with generative AI architectures, and the ability to productionize LLM driven systems with reliability, observability, and cost efficiency in mind.

What you'll do

• Design and deploy Retrieval-Augmented Generation (RAG) pipelines using embedding models and vector databases such as FAISS, Pinecone, Weaviate, or Chroma
• Develop LLM-powered applications using frameworks such as LangChain, LlamaIndex, AutoGen, or similar orchestration frameworks
• Implement agent-based systems that support multi-step reasoning, tool invocation, and structured workflows
• Fine-tune or adapt models using techniques such as LoRA (Low-Rank Adaptation) and parameter-efficient fine-tuning (PEFT)
• Build structured output pipelines using schema validation and function-calling APIs

What you need

• 3–6 yrs of experience
• Python
• LLMs
• MLOps
• PyTorch
• TensorFlow
• Machine learning
• Any graduate

Good to have

• AWS
• GCP
• Azure
• Docker
• Kubernetes
• Microservices