AI Engineer
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What we are looking for: Smart, exceptional python developers with experience in building microservices.
Our Pay Range: 6-12 LPA
Locations:
New Delhi, India
Hyderabad, India
What you will be working on: You will be working on the backend for Unerth. You will be building microservices, machine learning models and optimizing systems, llms.
What we are looking for:
Experienced machine learning engineer to help build the backend of an enterprise AI agent workflows platform. The ideal candidate will have a good understanding of software engg, distributed systems, microservices and machine learning.
Responsibilities
Qualifications (Preferred)
The Interview process
4 rounds* of interviews:
This will be a coding round. In addition, this round will include questions on Data Structures & Algorithms, Coding, design patterns and architecture.
A conversation with you, about you.
*We may add or remove technical interviews depending on your experience.
Job ID: 126877023
Skills:
Numpy, Pandas, Apis, Docker, Python, Kubernetes, orchestration frameworks, data pipelines, agentic AI automations, CI CD pipelines, LLM-based agents
Skills:
Api Integration, Gcp, MLops, System Design, Azure, Python, AWS, embeddings, Generative AI, LLMs, RAG systems, Hugging Face, vector databases, Claude, GPT, Azure OpenAI, semantic search technologies, OpenAI, fine-tuning techniques, evaluation metrics, deployment pipelines, model monitoring
Skills:
Python, LangChain, LLM Application Development, AutoGen or equivalent, Agentic Multi-step AI Workflows, REST API Integration, RAG Retrieval Augmented Generation, AI Telemetry Monitoring, Prompt Engineering
Skills:
preprocessing , Java, Neural Networks, Cuda, Tensorflow, Numpy, Nltk, Pandas, Pytorch, Keras, Python, LSTM, scikit-learn, CUDNN, tensorRT, word embeddings, deep learning models, Transformers, text cleaning, Spacy, NER, Large Language Models
Skills:
Python, AWS, Graphql, Api Integration, REST, Gcp, MLops, Azure, LLM-based systems, Qdrant, vector databases, Pinecone, LangGraph, ChromaDB, semantic search, LangChain, CrewAI, Generative AI, embedding models, prompt engineering, AutoGen, FAISS, Milvus, Weaviate
