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
About
CAW Studios is Product Development Studio. WE BUILD TRUE PRODUCT TEAMS for our clients. Each team is a small, well-balanced group of geeks and a product manager that together produce relevant and high-quality products. We use data to make decisions, bringing big data and analysis to software development. We believe the product development process is broken as most studios operate as IT Services. We operate like a software factory that applies manufacturing principles of product development to the software.
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Full Stack Developer - Averlon