Seeking remote backend or AI-focused engineering roles where I can build Python, Django/FastAPI, cloud, and GenAI/LLM products with ownership and growth.

Satyajit Sahoo
@satyajit
Python Backend Engineer building Django/FastAPI APIs, microservices, and GenAI/RAG workflows with Kafka, Docker, Kubernetes, and cloud.
What I'm looking for
Python Backend Engineer with 4+ years of experience building scalable APIs, backend services, and enterprise platforms using Python, Django/DRF and FastAPI. Skilled in REST APIs, PostgreSQL, MongoDB, Redis, Celery, Apache Kafka, Docker and Kubernetes.
At Landmark Group, build and maintain enterprise backend services and APIs for FabricFlow, including multi-tenant workflows, role-aware access, Kafka integrations, RAG, LangGraph, MCP and pgvector.
Previously at Infosys, developed Django/DRF and PostgreSQL functionality for AptPath, ML/LLM-assisted assessment features, Celery/Firebase/GreytHR workflows, and business platform integrations.
Experience
Work history, roles, and key accomplishments
Software Engineer
Landmark Group
Nov 2025 - Present (11 months)
Working on FabricFlow, a multi-tenant enterprise platform, building Django/DRF and FastAPI services, async integrations, and permission-aware APIs. Developing RAG and agent-driven features using pgvector, LangGraph, and MCP, with Kafka-based integration and monitoring.
Software Engineer
Infosys
Aug 2022 - Nov 2025 (3 years 3 months)
Built Python/Django backend applications and internal business platforms covering REST APIs, authentication, background processing and database-backed services. Developed AptPath with Django, DRF and PostgreSQL; built ML and LLM-assisted assessment and career-guidance features; and delivered Celery, Firebase and GreytHR workflow integrations.
Education
Degrees, certifications, and relevant coursework
Bhubaneswar Institute of Industrial Technology
Bachelor of Technology, Petrochemical & Petroleum Refinery Engineering
Grade: 73.48%
Bachelor of Technology in Petrochemical & Petroleum Refinery Engineering, completed in 2022 with 73.48%.
Tech stack
Software and tools used professionally
Google Cloud Platform
Kubernetes
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Django
Next.js
Tailwind CSS
Redis
Terraform
Azure DevOps
React
JavaScript
Python
TensorFlow
scikit-learn
Keras
MQTT
Celery
Django REST framework
FastAPI
asyncio
Grafana
Firebase
Ansible
TypeScript
Keycloak
OAuth2
Docker
SQL
XGBoost
LangChain
Ollama
pgvector
LangGraph
Qwen
Apache Kafka
Availability
Location
Authorized to work in
Website
satyajit.alphazero.inPortfolio
satyajit.alphazero.inSalary expectations
Social media
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