Job highlights

- Proficiency in Python. FU LL STACK DEVELOPM ENT
- Experience - Mid-level 3-5 years . Function - Engineering - AI / Full Stack . Employment - Full-time On-site / Hybrid

> Delivery

AI Full Stack Engineer

AI Full StackEngineer

Own the full lifecycle of GenAI-powered products -from model&RAG; integration to production-grade full stack delivery.

- Experience - Mid-level 3-5 years
- Function - Engineering - AI / Full Stack
- Employment - Full time On-site / Hybrid

Were building GenAI-powered applications that combine large language models, retrieval systems, and cloud-native infrastructure. Were looking for an engineer who can own the full lifecycle - from model and RAG integration through to production-grade full-stack development - and ship independently with minimal oversight.

What Youll Do

- Design and build end-to-end architecture for AI powered applications, from UI through backend to cloud infrastructure.
- Develop RAG pipelines, integrate LLMs, and build MCP based agentic workflows.
- Build responsive, production-quality front-end interfaces using React.
- Develop and maintain backend services and APIs using Node.js and Python.
- Deploy, scale, and monitor AI workloads on AWS. - Evaluate and monitor LLM/RAG output quality in production.
- Partner closely with product, design, and QA to translate requirements into shipped features.
- Troubleshoot independently and propose solutions - not just surface problems.

Must-Have Skills

CORE EXPERI EN CE

- 3-5 years in software / full-stack development.
- Proficiency in Python.

FU LL STACK DEVELOPM ENT

- Proficiency in React, JavaScript/TypeScript, HTML, and CSS.
- Backend development with Node.js and RESTful API design.
- SQL/NoSQL databases, Git, and version control(GitHub or Bitbucket).

AI & NLP StrongNLP foundation: tokenization,



preprocessing, POS tagging, NER, vectorization (BoW, TF-IDF, Word2Vec/embeddings).

- Solid grasp of transformer architecture (self-attention, multi head attention, positional encoding) and how LLMs are trained.
- Hands-on experience building RAG systems, including hybrid search.
- Prompt engineering - designing, testing, and iterating on prompts for production.
- Vector databases (FAISS, ChromaDB, or Pinecone).
- Working knowledge of LangChain and MCP (Model Context Protocol)

CLOU D - AWS / ATLASSI AN

- Practical experience with core AWS services: Lambda, Bedrock, DynamoDB, and IAM.
- Hands-on experience with the Atlassian platform (Jira / Confluence / JSM).
- Experience integrating with Atlassian REST APIs and app development (Forge or Connect).

SOFT SKI LLS

- Excellent written and verbal communication skills.
- Ability to work independently and drive problems to resolution.

Good to Have LangGraph, CrewAI, AutoGen, or similarframeworks for stateful, multi-agent applications.

- LLM/RAG evaluation and observability tooling(e.g., RAGAS, LangSmith).
- Fine-tuning experience (LoRA/QLoRA, quantization) on open models such as Gemma.
- Atlassian Forge platform (UI Kit / Custom UI, resolvers, manifest.yml, Forge Storage/SQL).
- Jira / Confluence / JSM REST APIs and OAuth 2.0 app scopes.
- SageMaker, EC2, Cognito, or S3.
- Containerization and CI/CD (Docker, GitHub Actions, or equivalent).
- API security - rate limiting, input validation, prompt-injection mitigation for LLM-facing endpoints.
- Unit testing experience (Jest or equivalent).

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.

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