Experience Level: 6 months-1 year
- Function: Engineering — AI / Full Stack Development
- No. of vacancies: 4
About the Role
- cloud-native infrastructure. We’re looking for early-career engineers who have a strong grasp of AI/NLP
- fundamentals and full-stack development basics, and are eager to grow into building production-grade AI
What You’ll Do
- Assist in building and integrating RAG pipelines and LLM-powered features
- Develop front-end interfaces using React under guidance from senior engineers
- Build and maintain backend APIs using Node.js/Python
- Work with vector databases and LangChain for retrieval-based features
- Support deployment and testing of AI workloads on AWS
- Learn and follow team practices for code quality, version control, and testing
- Collaborate with product, design, and QA, and communicate progress/blockers clearly
Must-Have Skills
Programming & AI/NLP Fundamentals
- Proficiency in Python
- Understanding of NLP basics: tokenization, text preprocessing, POS tagging, NER
- Text vectorization concepts: BoW, TF-IDF,
Word2Vec/embeddings — should be able to explain and implement
- Conceptual understanding of transformer architecture (self-attention, positional encoding)
- High-level understanding of how LLMs (GPT/LLaMA-class models) work
- Exposure to RAG concepts and vector databases (FAISS or ChromaDB) — academic or personal projects acceptable
- Basic hands-on experience with LangChain (document loaders, text splitters, simple chains)
Full Stack Development
- React fundamentals — components, props, state, hooks, JavaScript/TypeScript, HTML, CSS
- Node.js basics — building simple REST APIs
- Git — clone, commit, branch, pull requests
- Basic SQL/NoSQL — CRUD operations Cloud (AWS) — Conceptual
- Conceptual awareness of Lambda, DynamoDB, and IAM — what they are and when they’re used
Soft Skills
- Robust communication — written and verbal
- Willingness to learn independently and ask the right questions
- Problem-solving attitude — take
📌 Associate Ai Full Stack Engineer (Pune)
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📍 Pune