AI Software Engineer

Job Description AUTOM8AI-

Job Title: AI/ML Engineer (RAG & Agentic AI)

Employment Type: Full - Time

Location: Aligarh,India

Stipend: 8/12k/Month

Company: Autom8AI

About Us:

Autom8AI is a workflow automation platform that enables businesses to build, deploy, and manage intelligent automation pipelines without writing complex code. We're a fast-moving early-stage startup building the next generation of AI-powered automation tools.

Role Overview:

We are looking for an AI/ML Engineer who can design, build, and deploy intelligent AI systems powered by Large Language Models, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. You will work directly with the founding team to develop cutting-edge AI capabilities that power real-world business automation.

Responsibilities:

• Design and develop AI-powered applications using Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
• Develop AI Agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.
• Integrate Vector Databases for semantic search, document retrieval, and contextual memory.
• Build AI workflows capable of reasoning, planning, tool usage, and autonomous task execution.
• Design and implement prompt engineering, tool-calling, memory management, and agent orchestration systems.
• Evaluate and improve AI system performance, accuracy, latency, and cost efficiency.
• Integrate AI systems with APIs, databases, third-party tools, and business workflows.
• Experiment with emerging AI frameworks and contribute to product architecture decisions.
• Debug, monitor, and optimize production AI systems end-to-end.

Requirements:

• Strong understanding of Machine Learning concepts and algorithms.
• Proficiency in Python and modern AI development frameworks.
• Hands-on experience building Retrieval-Augmented Generation (RAG) systems.
• Experience developing AI Agents and Agentic Workflows.
• Experience with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Strong understanding of embeddings, vector search, and semantic retrieval.
• Experience with Vector Databases such as Pinecone, Weaviate, Qdrant, ChromaDB, Milvus, or FAISS.
• Understanding of Large Language Models (OpenAI, Gemini, Claude, Llama, etc.).
• Familiarity with REST APIs, databases, and cloud deployment environments.
• Strong problem-solving skills and ability to work independently in a startup environment.

Nice to Have:

• Experience deploying AI applications in production.
• Familiarity with GraphRAG, MCP (Model Context Protocol), and AgentOps.
• Experience with evaluation frameworks such as RAGAS, DeepEval, or LangSmith.
• Knowledge of MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Experience with fine-tuning open-source LLMs.
• Prior startup experience.
• Contributions to open-source AI projects.

What We Offer:

• Direct mentorship from the founding team.
• Ownership over meaningful AI features from day one.
• Opportunity to work on cutting-edge Agentic AI and automation systems.
• Fast feedback loops — ship and see your work live quickly.
• Flexible and friendly work environment.
• Competitive compensation based on experience.
• Opportunity to grow with an ambitious AI startup.