AI Engineer – NLP & Agents - Remote

• • Make sure you answer the question - What interests you about working for this company? to get an interview**

About RadiXplore:

RadiXplore is a deep tech startup revolutionizing mineral exploration with AI. Our platform uses cutting-edge natural language processing and computer vision to unlock insights from decades of unstructured geological data—accelerating discovery for the mining and energy sectors.

We’re backed by industry experts and we’re growing our AI team to solve real-world challenges in search, summarization, and intelligent data processing.

Role Overview:

We’re looking for a hands-on AI/ML Engineer with strong experience in LLMs, NLP and Agentic workflows. You’ll be building intelligent retrieval systems, fine-tuning transformer and vision models, and deploying production-grade AI pipelines. This is a remote-first role—perfect for someone self-driven, curious, and excited to build world-class AI from anywhere.

Key Responsibilities:

• Design and build NLP-powered search using vector databases (Elasticsearch/OpenSearch)
• Implement Agentic pipelines using LLMs
• Work with embeddings, transformers, and spaCy for a variety of NLP tasks
• Develop autonomous AI agents for document intelligence
• Contribute to model deployment, testing, and monitoring (MLOps)
• Write clean, modular object-oriented Python code
• Collaborate with the CTO to integrate AI into RadiXplore’s SaaS platform

Requirements:

• 3–5 years of professional experience in AI/ML or NLP roles
• Strong Python development skills (object-oriented, modular design)
• Practical experience with Hugging Face Transformers, LangChain, spaCy, and LLM frameworks
• Experience working with vector search tools like Elasticsearch/OpenSearch or FAISS
• Comfortable building Agentic pipelines and LLM applications
• Knowledge of MCP and other Agentic Frameworks
• Knowledge of deep learning and computer vision basics (image/text fusion is a plus)
• Ability to work independently, manage time/tasks, and communicate clearly in a remote environment

Nice to Have (Bonus Points):

• Exposure to geoscience, geospatial, mining, or oil & gas datasets
• Experience deploying ML models on AWS/GCP/Azure using tools like Docker, FastAPI
• Familiarity with LLM agents, prompt engineering, and semantic search
• Familiarity with Elastic Search/ Open Search

We’re looking for someone who:

• Is a fun, self-motivated, and enjoys learning new technologies.
• Has a strong understanding of software architecture and design patterns.
• Thrives in a fast-paced, agile environment.
• Is a team player with excellent communication skills.

What We Offer:

• Fully remote role
• Opportunity to work on cutting-edge AI projects in geoscience
• A fast-paced, impact-driven startup culture
• Learning budget and room to grow technically and professionally
• Salary range ₹6 to 7LPA (based on fit and experience)