Senior Generative AI & Automation Engineer | LLMs, Python, n8n, FastAPIs, Webhooks

We are seeking a Senior Generative AI & Automation Engineer with advanced expertise in building AI-powered automation workflows, integrating LLMs, and developing scalable backend systems. The ideal candidate has hands-on experience with OpenAI (GPT-4 / GPT-4o), Claude, Llama, Gemini, LangChain, LlamaIndex, and modern agentic AI workflows.

This is an ongoing project, and we need someone who can work closely with our team, develop pending modules, and help wrap up the remaining deliverables efficiently.

The engineer will design intelligent automation pipelines using n8n, Zapier, or Make.com, implement complex API + Webhook integrations, and build production-level AI systems for content generation, RAG pipelines, data automation, and operational workflows.

This role requires someone capable of building AI Agents, chatbots, RAG systems, vector search, and end-to-end AI automations using Python and industry-leading tools.

Key Responsibilities

Generative AI & LLM Development

Build and optimize LLM-based applications using OpenAI, GPT-4o, Claude, Llama, Gemini, Hugging Face.

Develop AI agents, conversational systems, and chain-based automation using LangChain & LlamaIndex.

Create RAG pipelines, embeddings, and vector database integrations (Pinecone, ChromaDB, Weaviate, FAISS).

Implement advanced prompt engineering and model fine-tuning for custom use-cases.

Automation Engineering

Develop end-to-end automation workflows using n8n, Make.com, or Zapier.

Build event-driven systems using webhooks, schedulers, conditional logic, and multi-step workflow orchestration.

Integrate third-party services through REST APIs, OAuth, and real-time data pipelines.

Python Backend & API Development

Build scalable and secure APIs using FastAPI, Flask, or Django.

Create microservices for AI integrations, automation pipelines, and business logic.

Implement serverless (AWS Lambda), Docker, and cloud deployments (AWS / GCP / Azure).

Data Engineering & Integrations

Process structured & unstructured data for AI/ML workflows.

Build ETL pipelines and model-serving workflows.

Configure vector stores and embedding-based search systems.

Required Skills

Strong expertise in Generative AI, LLMs, and AI Automation.

Proven experience in Python, FastAPI, scripting, and backend development.

Hands-on experience with n8n, Zapier, Make.com.

Expertise in API integrations, webhooks, and workflow orchestration.

Knowledge of vector databases, RAG, and embedding models.

Ability to build AI agents, chatbots, and autonomous workflows.

Preferred Qualifications

Experience with OpenAI Assistants API, LangGraph, agent frameworks.

Knowledge of DevOps, CI/CD, Docker, Kubernetes.

Experience deploying ML/AI systems on AWS/GCP/Azure.

Background in data engineering or ML ops.

Why This Role Matters

You will drive the company’s AI transformation, building automated, intelligent systems that reduce manual workload, improve efficiency, and introduce next-generation AI capabilities across the business.