Job highlights

- Self-learned,free-tier hands-on experience with AWS Bedrock or SageMaker
- Text vectorization concepts: BoW,TF-IDF,Word2Vec / embeddings - should be able to explain and implement
- Experience Level: 6 months-1 year. Function: Engineering - AI / Full Stack Development. No
- Basic hands-on experience with LangChain (document loaders,text splitters,simple chains)

> Delivery

Associate AI Full Stack Engineer

- Experience Level: 6 months-1 year
- Function: Engineering - AI / Full Stack Development
- No. of vacancies: 4

About the Role Were building GenAI-powered applications that combine large language models, retrieval systems, and cloud-native infrastructure. Were 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 applications. Youll work closely with senior engineers, ship real features, and ramp up fast.

What Youll 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, easy 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 theyre used Soft Skills

- Strong communication - written and verbal
- Willingness to learn independently and ask the right questions
- Problem-solving attitude - takes initiative rather than waiting for exact instructions

Nice-to-Have

- A personal or academic RAG/chatbot project (end-to-end, however small)
- Exposure to MCP, LangGraph, or agentic frameworks
- Basic fine-tuning exposure (LoRA/QLoRA) via coursework or tutorials
- Self-learned, free-tier hands-on experience with AWS Bedrock or SageMaker
- Any exposure to Atlassian Forge, Bitbucket, or Jest/unit testing

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Associate AI Full Stack Engineer (Pune)
🏢 enreap
📍 Pune