Full-Stack AI Engineer
Full-Stack AI Engineer
impetus career consultants7-9 Years
- Posted 10 hours ago
- Be among the first 10 applicants
Job Description
Senior Full-Stack AI Engineer | Hybrid | PAN India
We're hiring a Senior Full-Stack AI Engineer to join our innovation team, working at the intersection of software engineering and applied AI.
Experience: 7+ years
Location: PAN India
Work Mode: Hybrid
What You'll Do
- Build end-to-end web apps using React.js and Python
- Architect Agentic AI workflows and Multi-Agent Systems (MAS)
- Develop RAG pipelines connecting LLMs/SLMs to enterprise data
- Implement Model Context Protocol (MCP) for AI-tool integration
- Build Java (Spring Boot) microservices for enterprise integration
- Deploy and manage AI workloads on AWS and Databricks
What You Bring
- Expert-level React.js, TypeScript, and modern state management
- Strong Python (FastAPI/Flask/Django) and Java (Spring Boot) experience
- Hands-on work with LLMs (GPT-4, Claude, Llama) and frameworks like LangChain, LangGraph, CrewAI, or AutoGen
- Experience building production RAG systems with vector databases (Pinecone, Milvus, Weaviate, FAISS)
- Proficiency with AWS (EC2, Lambda, S3, SageMaker, Bedrock) and Databricks
- Familiarity with Docker, Kubernetes, and CI/CD pipelines
If interested share your updated cv at [Confidential Information].
More Info
Job Type:
Industry:
Employment Type:
Key Skills
Llama)
Vector databases (Pinecone
Bedrock)
FAISS)
LangGraph
Weaviate
Agentic AI workflows
Java Spring Boot
RAG pipelines
Multi-Agent Systems (MAS)
LangChain
CrewAI
Milvus
LLMs (GPT-4
Claude
SageMaker
AutoGen
AWS (EC2
CI/CD pipelines
Model Context Protocol (MCP)
About Company
Skills:
React, Git, Docker, FastAPI, MongoDB, Kubernetes, Python, Azure OpenAI, LangGraph, Streamlit, MCP, CI-CD, Multimodal AI, RAG Vector DBs, LlamaIndex
Skills:
Algorithms, Java, Machine Learning, Logging, Spring Boot, Automated Testing, Microservices, Spring, React, Typescript, Javascript, Docker, data structures, Restful Apis, Kubernetes, concurrency design patterns, Generative AI, Monitoring, alerting, object-oriented design, distributed-system fundamentals, LLM-based application development, observability
Skills:
.Net Core, React, Spring Boot, Windows, Microservices, Nosql, Docker, Distributed Systems, Angular Js, Java, Sql, Linux, Azure, Kubernetes, AI system operations monitoring, cost-performance trade-offs, API SDK-based services, ChatGPT, AI ML basics, LLM usage patterns, AI-assisted development tools, responsible AI practices, enterprise compliance considerations, Messaging and event-driven architecture, Cloud platforms, REST Web APIs, GitHub Copilot
Skills:
react.js , Github, PostgreSQL, Typescript, Docker, Nestjs, AWS, Express.Js, Node.js, Css3, Redis, Git, Gcp, Html5, Rest Apis, Azure, Prompt engineering, CI CD, Retrieval-Augmented Generation, Next.js, OpenAI Gemini, Anthropic, Tailwind CSS, Authentication Authorization
Skills:
Celery, Redis, Rabbitmq, Kubernetes, Python, Django, Pytest, Graphql, Docker, Postgres, Git, Sqlalchemy