Back End Developer

2 weeks ago

Aurangabad, Maharashtra, India Ragworks AI Full time
Applied AI Backend Engineer – GenAI & ToolingAbout us

At Ragworks AI, we're unleashing the power of AI agents to make your business run smoother than a freshly oiled waterslide We're talking seamless integration and systems that practically sing with efficiency. Our AI agents handle the repetitive tasks, allowing your team to focus on innovation and strategic growth. Imagine a future where operational bottlenecks are a myth and productivity soars; that's the Ragworks AI promise. Headquartered in Abu Dhabi with growing teams in India and Canada, we specialize in AI automation for business workflows, with a deep focus on secure, scalable, and tool-integrated GenAI solutions.

We are looking for an Applied AI Backend Engineer with hands-on experience in building LLM-integrated applications and backend systems. You'll play a pivotal role in developing internal tools, connecting AI models to APIs, ERPs, CRMs, file storage systems, and more. If you thrive at the intersection of backend infrastructure, AI orchestration, and real-world business applications, this role is for you.

Key Responsibilities
  • Develop robust backend infrastructure to orchestrate LLM agents using FastAPI, LLamaindex, or custom frameworks.
  • Integrate LLM-based workflows into enterprise tools: ERPs (e.g., SAP, Odoo), CRMs (e.g., Salesforce, HubSpot), and cloud file systems (e.g., SharePoint, Google Drive, OneDrive).
  • Build connectors and tooling to interface with APIs, structured/unstructured file stores, and internal knowledge bases.
  • Deploy and manage MCP (Multi-Tool Control Protocol) servers for dynamic agent tool calling.
  • Optimize semantic search and RAG pipelines with vector databases like Qdrant, Weaviate, or Pinecone.
  • Implement secure, scalable deployment pipelines with cloud-native practices (AWS, Azure).
  • Enable caching, logging, and telemetry for high-throughput agent execution environments.
  • Collaborate with AI researchers, product leads, and enterprise partners to ship reliable, production-grade AI solutions.
Technical Requirements
  • Strong Python skills with production experience using FastAPI or equivalent frameworks.
  • Experience integrating LLMs (OpenAI, LLaMA, Mistral, etc.) into real-time systems.
  • Familiarity with LangChain, LlamaIndex, or custom agent frameworks.
  • Deep understanding of tool calling, function schemas, and agentic execution patterns.
  • Comfortable working with OAuth2, API keys, and integrating with third-party systems (ERP, CRM, DMS).
  • Exposure to document parsing, OCR, and embedding pipelines.
Bonus Skills
  • Experience managing or extending MCP servers or equivalent tool orchestration frameworks.
  • Familiarity with Redis, Celery, or other background task queues for scaling agent tasks.
  • Prior work in document intelligence, compliance automation, or procurement workflows.
  • Knowledge of LLM fine-tuning, prompt engineering, or function-calling design patterns.
  • Contributions to GenAI or open-source AI tooling communities.
Why Join Ragworks AI?

Join a fast-paced global startup and directly impact real-world enterprise deployments by shaping the backend architecture of AI agents that drive business decisions across various industries. Collaborate with a mission-driven team dedicated to building cutting-edge GenAI automation and tooling that seamlessly integrates with existing systems, with your work going directly into production.

How to Apply

Ready to build the connective tissue between GenAI and the real world? Send your resume, GitHub/portfolio, and a short intro to: kiran@ragworks.ai. Let's build the future of AI-integrated software together.

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