Generative AI Engineer Intern

Job Role: Generative AI Engineer Intern

Company: Growhut Technologies Private Limited

Job Type: Full-Time Internship  

Location: Remote

Stipend: INR 15,000 - 20,000 per month

Duration: 6 Months

About Growhut

At Growhut, we're not just building AI products — we're shaping the future of intelligent systems. We create real-world impact by developing AI solutions that blend human intuition with machine precision, across language, vision, and agentic automation. As a fast-growing AI lab, we work with global clients and build our own in-house products — including voice AI, agent orchestration tools, and futuristic collaboration systems.

Now, we're looking for Generative AI Engineer Interns who are obsessed with building agentic AI systems — systems that don't just answer questions but get things done.

The Role: Generative AI Engineer – Agentic AI (Internship)

As an intern at Growhut, you'll work at the cutting edge of agentic workflows, using multi-agent frameworks to build systems that reason, plan, and execute in real time. You'll collaborate with a team of builders to implement AI systems that combine LLMs, RAG pipelines, multi-modal processing, and tool-use agents.

What You'll Do

• Design, build, and test agentic AI workflows using frameworks like Krivya, LangGraph, CrewAI, AutoGen, or Autogen Studio.
• Integrate LLMs (GPT-4, Claude, Lamma, etc.) into real-world automation pipelines with live APIs and tool usage.
• Deploy autonomous agents that can perform tasks such as research, document generation, summarization, and coordination.
• Work with retrieval-augmented generation (RAG) techniques, memory systems, and context-aware task planning.
• Experiment with prompt chaining, long-term memory, and multi-agent collaboration protocols.
• Contribute to building scalable backend infrastructure for inference, tool integration, and async workflows.
• Collaborate on internal research initiatives and proof-of-concept projects in AI-human collaboration.

Technical Requirements

We're looking for someone with hands-on experience or a firm grasp of the following:

Must-Have:

• Strong understanding of Agentic AI, multi-agent workflows, and orchestration strategies.
• Experience with open-source frameworks like LangGraph, Krivya, AutoGen, CrewAI, or similar tools.
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Qdrant) and RAG systems.
• Proficiency in Python, and working knowledge of LangChain, Transformers, and Prompt Engineering.
• Exposure to LLMs (e.g., GPT-4, Claude, Gemini, Mistral) and their APIs.
• Comfort with cloud-managed services: AWS Bedrock, Google Vertex AI, or Azure OpenAI.
• Understanding of tool calling, function calling, and memory management in LLM contexts.
• Familiarity with LiveKit, real-time communication protocols, and event-driven systems.

Nice-to-Have:

• Experience with audio/voice models or multi-modal agents.
• There is interest in task decomposition strategies like ReAct, Tree of Thought, and Plan-and-Execute.
• Exposure to LangChain Expression Language (LCEL) and custom agent toolkits.

Why Join Growhut?

• Build Real Systems: Not just research — you'll build end-to-end agentic products for real users.
• Mentorship from Experts: Collaborate with a team that's pushing boundaries in AI and automation.
• Global Exposure: We work with clients and users around the world across BFSI, health, SaaS, and beyond.
• Cutting-Edge Infrastructure: Work on high-impact projects using the latest open-source tools and enterprise-grade services.

The Growhut Difference

At Growhut, we believe in building executional AI — systems that don't just predict or inform but actually act. We're creating the infrastructure of tomorrow's autonomous work. You'll get to build with full-stack agents that talk, listen, plan, and execute across real-world workflows.

Ready to Apply?

If you're serious about building the next generation of autonomous AI agents, apply now and join us in building the future — one agent at a time.

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