Software Engineer

Role overview

Required qualifications

• The listed roles request 2–7 years of experience and at least 2 years of hands-on relevant AI/ML experience.
• Strong foundations in machine learning, statistical modeling, predictive analytics, feature engineering, and model evaluation are required.
• Hands-on experience with Python, Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch is required.
• Experience with LLMs or SLMs, RAG, embeddings, vector databases, orchestration frameworks, and inference frameworks is required.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field is required.

Core responsibilities

• Design, develop, and optimize machine learning models and supporting data pipelines.
• Build enterprise-grade LLM and SLM solutions, RAG pipelines, agentic workflows, semantic search systems, and AI copilots.
• Fine-tune, evaluate, and optimize language models and inference systems.
• Develop scalable AI services, APIs, serving architectures, and production inference pipelines.
• Implement monitoring, tracing, evaluation, governance, security, and responsible AI practices.

Technical skills

• Relevant technologies include Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, vector databases, LangChain, LangGraph, CrewAI, and vLLM.
• Experience with open-source models such as Llama, Mistral, Qwen, or Gemma is required.
• Preferred areas include banking, enterprise AI reporting, observability, NL2SQL, semantic layers, fine-tuning, quantization, and model serving at scale.

Location

• The source identifies Bangalore as the role location.

About Azentio