Growhut is an AI-first product engineering company building production-grade systems at the intersection of AI, real-time collaboration, and intelligent automation.
We don’t build demos.
We build AI systems that run businesses.
A core focus area for us is agent-based AI—systems that reason, learn, act, and improve over time within complex, real-world workflows.
This role is for engineers who have already shipped AI to production and want to go deeper.
? Role Overview
As an AI Engineer at Growhut, you will design, build, and scale AI agents that operate inside complex workflows with persistent memory, tool usage, and multi-step reasoning.
*You will work on systems where:*
- Conversations turn into a state
- Memory evolves over time
- Agents execute real tasks, not just generate text
*This is a hands-on engineering role, not a research-only position.*
? Key Responsibilities
*AI Agents & Workflow Orchestration*
- Design and build AI agents capable of handling complex, multi-step workflows.
- Implement agent behaviors such as:
- Planning
- Tool selection
- Decision-making
- Retry and fallback logic
- Orchestrate agents across asynchronous, event-driven systems.
*Persistent Memory Systems (Core Focus)*
- Design and implement persistent memory architectures for AI agents.
- Work with:
1. Long-term vs short-term memory separation
2. Context anchoring across sessions
3. Memory retrieval and relevance scoring
4. Build hybrid memory systems using:
5. Vector databases
6. Structured stores
7. Knowledge graphs (where applicable)
*LLM & Retrieval Engineering*
- Integrate and optimize LLMs for production use cases.
- Build and tune:
1. RAG pipelines
2. Graph-augmented or hybrid retrieval systems
3. Optimize prompts, context windows, and cost-performance tradeoffs.
*Production &
📌 Generative AI Engineer (India)
🏢 Growhut
📍 India
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