- Minimum of (3+) years of experience in AI-based application development.
- Experience fine-tuning Large Language Models (LLMs) or working with domain-specific AI models
- Experience building production-grade AI applications using RAG, AI Agents, or multi-agent systems
- Familiarity with Vector Search, Knowledge Graphs, and AI observability/evaluation frameworks
- Experience deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services
- Contributions to open-source AI projects, research publications, or participation in AI communities is a plus
- Proficiency in Python (libraries like NumPy, Pandas, Scikit-learn, and PyTorch/TensorFlow)
- Strong understanding of Machine Learning (ML) and Deep Learning (DL) algorithms
- Hands-on experience with Computer Vision techniques (image classification, object detection, segmentation)
- Practical experience with Generative AI and Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Claude, Gemini, or similar models
- Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise applications
- Hands-on experience building AI Agents and agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar orchestration frameworks
- Familiarity with No-Code / Low-Code AI automation platforms such as n8n, Dify, Flowise, or LangFlow
- Hands-on experience with Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, or Qdrant)
- Experience with classification tasks and building predictive models
- Proficiency with deep learning frameworks: PyTorch and/or TensorFlow / Keras
- Exposure to NLP techniques or libraries (NLTK, Hugging Face, spaCy)
- Exposure to cloud platforms such as AWS, Azure, or GCP
- Familiarity with MLOps practices and tools (Docker, MLflow, Git, CI/CD)
- Strong analytical and problem-solving abilities with a passion for solving real-world business challenges
- Ability to translate business requirements into scalable AI and machine learning solutions
- Excellent communication and collaboration skills for working with cross-functional teams and clients
- Self-motivated learner with enthusiasm for exploring emerging AI technologies and industry trends
- Ability to work independently while effectively managing priorities in a fast-paced environment
- Strong ownership mindset with attention to quality, performance, and continuous improvement
Pay: ₹800,000.00 - ₹1,600,000.00 per year
Benefits:
- Food provided
- Health insurance
- Provident Fund
Experience:
- LLMs: 3 years (Preferred)
- Python: 3 years (Preferred)
- RAG: 2 years (Preferred)
- AI Agents: 2 years (Preferred)
Work Location: In person
