Python Developer (Senior/Mid-Level)

Job Description

Title: Python Developer (Senior/Mid-Level)

Company Name: Signature 11 (IT)

Vacancy: 1

Age: Na

Job Location: Dhaka

Salary: Negotiable

Experience:

  • At least 3 years
  • The applicants should have experience in the following business area(s): Software Company


Published: 2026-04-06

Application Deadline: 2026-05-06

Education:

Requirements:
  • At least 3 years
  • The applicants should have experience in the following business area(s): Software Company


Skills Required: AWS Cloud,Python

Additional Requirements:

Requirements

- 3+ years of hands-on Python development experience in production environments

- Strong proficiency with Django and Django REST Framework, including JWT/OAuth authentication, signals, and custom middleware

- Deep expertise in PostgreSQL — complex queries, indexing strategies, query planning, and Django ORM optimisation

- Strong MongoDB experience — document schema design, aggregation pipelines, Atlas Search, and change streams

- Solid experience building ETL pipelines and data flows for large-scale relational and NoSQL datasets

- Hands-on experience with Celery, RabbitMQ, and Redis for distributed task processing and real-time workloads

- Experience implementing RAG pipelines — document chunking, embedding strategies, vector store integration, and hybrid retrieval

- Familiarity with vector databases (Qdrant, Pinecone, Weaviate, or similar)

- Working knowledge of AWS (S3, EC2, RDS) and cloud-native service integration

- Mid-level DevOps skills — Docker, Nginx, Gunicorn/Daphne, environment configuration, and deployment automation (Ansible is a plus)

- Exposure to MLOps practices — model observability, logging, metrics tracking, and prompt/model versioning

- Comfort working with WebSockets and Django Channels for real-time features

- Good knowledge of Git and collaborative development workflows

Nice to Have

- Practical experience with LangChain / LangGraph or equivalent agentic AI frameworks; understanding of tool-calling, memory management, and multi-agent orchestration

- Experience with LangSmith or other LLM observability/tracing tools

- Familiarity with gRPC and Protocol Buffers

- Experience with OCR and document intelligence pipelines (pdfplumber, pytesseract)

- Contributions to or experience shipping AI products at scale



Responsibilities & Context:

About IDARE

IDARE delivers advanced AI solutions across multiple industries through one of the most sophisticated automated, no-code machine learning platforms available today. Our platform empowers organisations to build end-to-end AI solutions — from data ingestion and ETL to model deployment and real-time agentic workflows — without requiring programming or data science expertise. We are a product-first engineering team building at the frontier of applied AI.

The Role

We are looking for a Senior or Mid-Level Python Developer with a strong data engineering foundation and a growing passion for applied AI. You will work directly on the core backend platform — architecting APIs, agentic AI pipelines, RAG systems, real-time data workflows, and the infrastructure that ties it all together.

This is a high-impact engineering role. You will be writing production code that powers live AI agents, knowledge bots, and no-code ML workflows used by clients across multiple sectors.

What You'll Be Working On

- Designing and extending a Django + DRF backend powering a no-code AI/ML platform

- Building and maintaining agentic AI pipelines using LangGraph, LangChain, and multi-LLM orchestration (OpenAI, Anthropic Claude, Google Gemini)

- Implementing and optimising RAG (Retrieval-Augmented Generation) systems backed by Qdrant vector database and hybrid retrieval strategies

- Working with PostgreSQL and MongoDB at scale — schema design, query optimisation, aggregation pipelines, and full-text/vector search

- Designing real-time data streaming flows using Celery, RabbitMQ, Redis, and Django Channels (WebSockets)

- Integrating with AWS services (S3, EC2, RDS, and more) and managing cloud-side data pipelines

- Contributing to DevOps and MLOps practices — Docker, Ansible, Gunicorn/Daphne, Nginx, CI/CD pipelines



Job Other Benifits:

Employment Status: Full Time

Job Work Place: Work at office

Company Information:

Gender: Male and Female can apply

Read Before Apply: Please apply only who are fulfilling all the requirements of this job

Category: IT & Telecommunication

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