Software Engineer 2

11 hours ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 18,00,000 per year

This role is for one of the Weekday's clients

Min Experience: 1 years

Location: Bengaluru

JobType: full-time

We are looking for a highly skilled Software Engineer 2 who can take full ownership of end-to-end engineering for a product track. You'll play a key role in designing, developing, and deploying AI-powered solutions—working closely with clients and internal stakeholders to turn complex challenges into scalable, production-ready systems.

What You'll Do
  • Architect, design, and build robust AI-driven software solutions from the ground up.
  • Take complete ownership of one or more product tracks—covering backend systems, infrastructure, integrations, and LLM workflows.
  • Collaborate directly with customers and cross-functional teams to define requirements, iterate rapidly, and deliver production-quality solutions.
  • Mentor junior engineers, conduct code reviews, and ensure engineering excellence.
  • Stay updated with emerging AI technologies and contribute to internal tools, frameworks, and best practices.
What You'll Gain
  • Leadership opportunities and a fast track to Senior Software Engineer roles.
  • Hands-on experience building real-world AI systems that impact industries.
  • High autonomy, minimal bureaucracy, and direct influence on technical direction.
  • Exposure to multi-agent AI architectures, large-scale deployments, and cloud infrastructure.
Who You Are
  • 2–3 years of strong backend engineering experience.
  • Proven record of delivering and maintaining production-grade systems.
  • Proficient in Python, with experience in Django or FastAPI.
  • Skilled in PostgreSQL, AWS, and general system design principles.
  • Familiar with LangChain, LLM APIs, and vector databases (preferred).
  • Strong analytical, communication, and problem-solving skills.
Tech Stack You'll Work With

Languages & Frameworks: Python, Django, FastAPI
Databases: PostgreSQL, Redis
Infrastructure: AWS (EC2, Lambda, S3, CloudWatch)
AI Tools: LangChain, LLM APIs, Vector Databases
Others: REST APIs, Microservices, GitHub Actions

Example Projects You Might Work On
  • Developing a multi-agent AI assistant that automates personalized career guidance.
  • Deploying a chatbot that generates performance reviews using HR datasets.
  • Designing an LLM-powered system to help legal professionals access case laws and precedents in real time.

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