Machine Learning (ML)
Deep Learning
PythonWe're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!
What You’ll Do
-Build autonomous AI agents using LangChain, LangGraph, and similar frameworks.
- Develop RAG pipelines with vector DBs like FAISS, Pinecone, or ChromaDB.
- Create FastAPI endpoints to expose agent functionality.
- Implement Model Context Protocol (MCP) for tool-agent integrations.
- Optimize prompts, workflows, and retrieval strategies for real performance.
- Contribute to new agentic AI design patterns and innovations.
Who Should Apply
We’re looking for freshers who are:
-Strong in Python and love experimenting with AI/ML projects.
- Familiar with one or more of these: LangChain/LangGraph, HuggingFace, PyTorch/TensorFlow, RAG pipelines.
- Active on GitHub with 2–3 well-documented projects (clean code + clear README).
- Curious, hands-on builders who want to learn by doing.
Bonus Points if you’ve dabbled with:
- LLM fine-tuning (LoRA, QLoRA), memory systems. AutoGen, CrewAI, MCP, or other agent frameworks.
- Docker, async programming, API integrations.
Education:
- Completed/Pursuing Bachelor's in Computer Science or related field
- Strong foundation in ML theory and practice
Apply if:
- You have done projects using GenAI, Machine Learning, Deep Learning.
- You must have strong Python coding experience.
- Someone who is available immediately to start with us in the office(Hyderabad).
- Someone who has the hunger to learn something new always and aims to step up at a high pace.
We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!
Shubham Vishwakarma
Full Stack Developer - Averlon
About CAW.Tech
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon