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Senior AI/ML Developer / Lead AI/ML Developer

Amantra · Indore

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Collected role description

We're looking for Senior/Lead AI/ML Developer to join our team.

About us

Amantra is an AI-driven technology company focused on building intelligent, scalable, and enterprise-ready solutions powered by Agentic AI, automation, and advanced technologies. We are looking for an experienced Senior AI/ML Developer or Lead AI/ML Developer to drive the design, development, and deployment of AI/ML solutions and contribute to the development of next-generation intelligent applications.

Responsibilities

  • Design, develop, and deploy scalable AI/ML models and intelligent applications for enterprise use cases.
  • Lead the development of Generative AI and Agentic AI solutions, including AI agents, LLM-powered applications, and multi-agent workflows.
  • Develop and optimize machine learning and deep learning models for classification, prediction, natural language processing, and other relevant use cases.
  • Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering.
  • Design and implement AI pipelines, data preprocessing workflows, model evaluation frameworks, and inference services.
  • Build and integrate AI solutions using Python, REST APIs, and relevant AI/ML frameworks.
  • Evaluate and implement suitable models, libraries, and AI platforms based on business requirements.
  • Optimize model performance, latency, scalability, reliability, and inference costs.
  • Establish best practices for model versioning, deployment, monitoring, testing, and continuous improvement.
  • Collaborate with product managers, software engineers, and other stakeholders to translate business requirements into technical solutions.
  • Lead technical discussions, conduct code reviews, mentor junior developers, and promote engineering best practices.
  • Stay updated on emerging developments in Generative AI, Agentic AI, and machine learning technologies.

Requirements

  • 5+ years of hands-on experience in AI/ML development, with demonstrated experience delivering production-ready solutions.
  • Strong proficiency in Python and commonly used libraries such as NumPy, Pandas, Scikit-learn, and relevant deep learning frameworks.
  • Strong understanding of machine learning algorithms, deep learning architectures, statistics, and model evaluation techniques.
  • Practical experience with Generative AI, LLMs, prompt engineering, embeddings, and RAG-based applications.
  • Experience with AI agent frameworks and orchestration tools such as LangChain, LangGraph, LlamaIndex, or equivalent technologies.
  • Experience with frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or equivalent solutions.
  • Experience building APIs and integrating AI models into enterprise applications.
  • Knowledge of Docker, Git, CI/CD, and cloud-based AI/ML deployment environments.
  • Experience with model monitoring, performance optimization, and production troubleshooting.
  • Strong problem-solving, analytical, communication, and technical decision-making skills.

Preferred Qualifications

  • Experience in developing and deploying Agentic AI projects or products, including AI agents, multi-agent systems, autonomous workflows, and LLM-powered enterprise applications, will be strongly preferred.
  • Experience leading AI/ML projects or mentoring developers.
  • Exposure to AWS, Azure, or Google Cloud AI services.
  • Experience with MLOps, MLflow, model registries, and automated model deployment pipelines.
  • Understanding of AI security, responsible AI practices, data privacy, and LLM evaluation.
  • Experience developing enterprise-grade AI products, intelligent automation solutions, or Agentic AI applications.

How to Apply

  • Ready to take the next step in your career?

Apply now and become part of our growing team. You can also send your resume to careers@amantra.ai

Collected preferred qualification

Experience in developing and deploying Agentic AI projects or products, including AI agents, multi-agent systems, autonomous workflows, and LLM-powered enterprise applications, will be strongly preferred.

Collected experience requirement

5+ years