Job Summary
We are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.
Key Responsibilities
- Design, develop, and deploy AI agents capable of task execution, decision-making, and tool usage
- Build and maintain n8n workflows for AI-driven automation
- Integrate AI agents with:
- Internal systems (ERP, CRM, databases)
- Third-party APIs and services
- Develop LLM-powered solutions such as chatbots, assistants, and process automation tools
- Implement prompt engineering, agent memory, and multi-step reasoning flows
- Build and consume REST APIs for AI integrations
- Monitor, debug, and optimize AI agents and automation workflows
- Ensure reliability, scalability, and performance of AI systems
- Document AI workflows, agent logic, and integrations
Required Skills & QualificationsExperience
- Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer
Core Technical Skills
- Strong proficiency in Python
- Experience with NumPy, Pandas, Scikit-learn
- Solid understanding of data handling, statistics, and ML fundamentals
AI, LLMs & Agents
- Hands-on experience building AI agents
- Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)
- Strong prompt engineering skills
- Experience with RAG (Retrieval-Augmented Generation) pipelines
- Familiarity with agent frameworks such as:
- LangChain
- LlamaIndex
- or similar tools
Automation & Workflows
- Proven experience working with n8n workflow automation
- Experience building:
- Event-driven workflows
- Webhook-based automations
- Scheduled (cron) workflows
- Ability to orchestrate workflows involving LLMs + APIs + databases
APIs & Backend
- Experience building and consuming REST APIs
- Familiarity with FastAPI or Flask
- Experience integrating AI systems with databases (SQL / NoSQL)
Nice to Have (Plus Points)
- Experience with self-hosted n8n deployments
- Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)
- Experience with Docker and basic cloud deployments
- Familiarity with MLOps concepts
- Experience with Zapier / Make.com in addition to n8n
Soft Skills
- Strong problem-solving and analytical skills
- Ability to explain AI concepts to non-technical stakeholders
- Good communication and teamwork skills
- Self-driven and eager to learn new technologies
Job Type: Full-time
Pay: Rs55,000.00 - Rs75,000.00 per month
Work Location: In person