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Senior Full Stack Engineer (Python / AI Platforms)
permanent,
at Marktine Technology Solutions Pvt. Ltd.
Posted by Utkarsh Vijay
Experience6 - 9 Years
SalaryNot Disclosed
Job TypeFull Time
LocationJaipur
3 hours ago
Job Highlights
Role Overview: We are looking for an experienced Senior Python Full Stack Engineer to spearhead the engineering behind next-generation AI platforms at Vriti.ai and Objiq.ai. In this role, you will take ownership of the end-to-end architecture: from designing scalable backend APIs and orchestrating enterprise-grade Retrieval-Augmented Generation (RAG) pipelines to building high-performance, intuitive frontend interfaces. You will work directly on high-throughput AI services, vector search systems, and production LLM integrations.
Job Description
Key Responsibilities
- Backend & AI Systems Architecture
- Architect, implement, and deploy production-grade RAG pipelines incorporating intelligent chunking strategies, multi-vector indexing, re-ranking, and context window optimization.
- Integrate and evaluate LLM orchestrations using frameworks such as LangChain, LlamaIndex, or custom agentic workflows.
- Design, build, and optimize high-throughput, low-latency RESTful and WebSocket APIs using FastAPI or Django REST Framework (DRF).
- Manage vector databases (e.g., Pinecone, Milvus, Qdrant, ChromaDB, or pgvector) for hybrid retrieval, embedding storage, and similarity search.
- Full Stack & Frontend Delivery
- Build modular, responsive, and data-dense web interfaces using modern frontend frameworks (React.js, Next.js, or Vue.js).
- Implement state management, streaming chat completions (Server-Sent Events / WebSockets), and data visualization components.
- Ensure seamless data contract integration between frontend interfaces and AI-driven backend microservices.
- Data Modeling, Performance & Cloud
- Design and optimize relational (PostgreSQL, MySQL) and non-relational databases for high-concurrency systems.
- Implement distributed task execution and caching layers with Celery, Redis, or message brokers (Kafka/RabbitMQ).
- Containerize services using Docker and collaborate on deployment workflows across cloud environments (AWS/GCP/Azure).
- Monitor pipeline latency, token costs, evaluation metrics (e.g., Ragas, TruLens), and system reliability.
Required Skills & Qualifications
- Experience: 6–7+ years of hands-on experience in full-stack software development with a heavy focus on Python.
- Core Backend: Deep proficiency in Python and modern asynchronous frameworks (FastAPI, Django/DRF, or Flask).
- RAG & GenAI Experience: Demonstrated track record building, tuning, and deploying production RAG pipelines, semantic search engines, and prompt-chaining architectures.
- Frontend Skills: Strong experience with modern frontend stacks (React.js, TypeScript, Next.js, HTML5, CSS3/Tailwind).
- Databases: Hands-on expertise with vector databases (Pinecone, Qdrant, Weaviate, or pgvector) alongside relational databases (PostgreSQL).
- System Design & API Standards: Deep understanding of microservices, API security (OAuth2, JWT), rate-limiting, and distributed systems.
- Tooling & DevOps: Strong command of Git, Docker, CI/CD pipelines, and cloud services (AWS/GCP).
- Problem Solving: Proven ability to break down complex architectural challenges and mentor mid-level/junior engineers.
Good-to-Have (Bonus Points)
- Experience with agentic frameworks (CrewAI, LangGraph, AutoGen).
- Familiarity with fine-tuning open-source models (Hugging Face ecosystem) and deploying on local or cloud inference engines (vLLM, Ollama, Triton).
- Prior experience in early-to-growth stage AI startup environments.
Key Skills
6–7+ years in full-stack software development
6–7+ years in python development
ai startup (preferred)
rag pipeline architecture
intelligent chunking strategies
multi-vector indexing
re-ranking
context window optimization
llm orchestration integration
custom agentic workflows
restful api design
websocket api design
high-throughput api optimization
low-latency api optimization
hybrid retrieval
embedding storage
similarity search
modular web interface development
responsive web design
data-dense interface design
state management
streaming chat completions
server-sent events
websockets
data visualization
data contract integration
ai-driven backend microservices
relational database optimization
non-relational database optimization
high-concurrency systems design
distributed task execution
caching layer implementation
containerization
cloud deployment workflows
pipeline latency monitoring
token cost monitoring
evaluation metrics monitoring
system reliability monitoring
microservices design
api security
rate-limiting
distributed systems design
system architecture problem solving
python
fastapi
django rest framework
flask
langchain (preferred)
llamaindex (preferred)
react.js
typescript
next.js
html5
css3
tailwind
pinecone
milvus
qdrant
chromadb
pgvector
weaviate
postgresql
mysql
celery
redis
kafka
rabbitmq
docker
aws
gcp
azure
git
ci/cd
oauth2
jwt
crewai (preferred)
langgraph (preferred)
autogen (preferred)
hugging face (preferred)
vllm (preferred)
ollama (preferred)
triton (preferred)
problem solving
mentoring