The Associate Software Engineer role at Forbes Advisor is a hands-on, full-stack position that involves building, maintaining, and evolving the company's internal platform of LLM-powered tools. The successful candidate will work across Next.js frontends, FastAPI backends, and AWS infrastructure, with direct exposure to production AI systems.
Forbes Advisor is a leading financial services company that provides expert advice and insights to individuals and businesses. With a strong focus on innovation and technology, the company is committed to making smart financial decisions simple and accessible to all.
Why required: Python is a fundamental skill required for this role, as the company uses it extensively in their backend development. The candidate should have a solid foundation in Python programming.
How recruiters evaluate: The recruiter will evaluate the candidate's Python skills by assessing their experience with the language, their understanding of its ecosystem, and their ability to write clean, testable code.
Why required: JavaScript/TypeScript is required for frontend development, as the company uses Next.js and React. The candidate should have a working knowledge of these technologies.
How recruiters evaluate: The recruiter will evaluate the candidate's JavaScript/TypeScript skills by assessing their experience with frontend development, their understanding of React and Next.js, and their ability to write efficient code.
Why required: FastAPI is a key technology used in the company's backend development. The candidate should have some exposure to FastAPI or a similar framework.
How recruiters evaluate: The recruiter will evaluate the candidate's FastAPI skills by assessing their experience with the framework, their understanding of its features, and their ability to write efficient code.
Why required: SQL is required for database management, as the company uses relational databases. The candidate should have a basic understanding of SQL and relational databases.
How recruiters evaluate: The recruiter will evaluate the candidate's SQL skills by assessing their experience with database management, their understanding of SQL syntax, and their ability to write efficient queries.
Why required: REST APIs are used extensively in the company's backend development. The candidate should have a basic understanding of REST APIs and asynchronous programming concepts.
How recruiters evaluate: The recruiter will evaluate the candidate's REST API skills by assessing their experience with API development, their understanding of RESTful architecture, and their ability to write efficient code.
Why required: Git/GitHub is used for version control and collaboration. The candidate should have a working knowledge of Git/GitHub and a basic understanding of CI/CD pipelines.
How recruiters evaluate: The recruiter will evaluate the candidate's Git/GitHub skills by assessing their experience with version control, their understanding of Git syntax, and their ability to use GitHub effectively.
Why required: AI coding assistants are used in the company's daily development workflow. The candidate should be comfortable using AI-assisted development tools.
How recruiters evaluate: The recruiter will evaluate the candidate's experience with AI coding assistants by assessing their familiarity with tools like Cursor, Copilot, and Claude.
Why required: AWS is used extensively in the company's infrastructure. The candidate should have a working knowledge of AWS services like ECS, ALB, S3, RDS, and EventBridge.
How recruiters evaluate: The recruiter will evaluate the candidate's AWS skills by assessing their experience with AWS services, their understanding of AWS architecture, and their ability to use AWS effectively.
Why required: Redis is used in the company's infrastructure for job queuing and background tasks. The candidate should have a basic understanding of Redis and job queuing concepts.
How recruiters evaluate: The recruiter will evaluate the candidate's Redis skills by assessing their experience with Redis, their understanding of Redis syntax, and their ability to use Redis effectively.
Why required: OpenAI/Anthropic APIs are used in the company's AI-powered tools. The candidate should have some exposure to these APIs.
How recruiters evaluate: The recruiter will evaluate the candidate's experience with OpenAI/Anthropic APIs by assessing their familiarity with these APIs and their ability to integrate them into tools.
Why required: Web scraping is used in the company's data pipelines and automation. The candidate should have some exposure to web scraping and data pipelines.
How recruiters evaluate: The recruiter will evaluate the candidate's experience with web scraping by assessing their familiarity with web scraping tools and techniques.
This role is suitable for freshers who have a strong foundation in Python, JavaScript/TypeScript, and SQL. Freshers who are eager to learn and have a passion for AI and machine learning should apply.
Experienced professionals who have a strong background in software development and AI should apply. They should have experience with technologies like FastAPI, React, and AWS.
Graduates who have a degree in Computer Science or a related field should apply. They should have a strong foundation in programming languages like Python, JavaScript/TypeScript, and SQL.
B.Tech graduates who have a strong background in software development and AI should apply.
MCA graduates who have a strong background in software development and AI should apply.
Diploma holders who have a strong background in software development and AI should apply.
The salary range for this role in the industry is ₹8-15 lakhs per annum.
The salary range for freshers in this role is ₹6-10 lakhs per annum.
The salary range for experienced professionals in this role is ₹12-20 lakhs per annum.
The salary for this role can grow up to ₹25 lakhs per annum with experience and performance.
The next career step for this role is a Software Engineer position where the candidate will lead software development projects and teams.
The next career step for this role is a Technical Lead position where the candidate will lead technical teams and projects.
The next career step for this role is an Architect position where the candidate will design and implement software architectures.
This course provides a comprehensive introduction to Python programming.
This course provides a comprehensive introduction to JavaScript and React.
This course provides a comprehensive introduction to FastAPI and Python.
To succeed in this role, the candidate should have a strong foundation in software development and AI. They should also have excellent problem-solving skills and be able to work collaboratively in a team.
The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.
Smart Financial Decisions Made Simple
Associate Software Engineer
We're hiring an Associate Innovation Engineer to support our Lead Innovation Engineer in building, maintaining, and evolving our internal platform of LLM-powered tools, used daily by SEO, Content, SEM, and Editorial teams.
This is a hands-on full-stack role. You'll work across Next.js frontends, FastAPI backends, and AWS infrastructure, while getting direct exposure to production AI systems: content extraction pipelines, prompt engineering, web scraping, and data integrations.
This is a strong fit for someone early in their career who wants real-world experience shipping and maintaining LLM applications in production.
Key Responsibilities
Full-Stack Development & Maintenance
Build and maintain features across our Next.js frontends and FastAPI backends.
Support the ongoing maintenance of our production tool suite — bug fixes, small enhancements, data validation, and monitoring.
Write clean, testable Python and TypeScript code.
Data Pipelines & Automation
Build and maintain pipelines connecting third-party APIs (SEMrush, ScrapingBee, and similar) to our LLM workflows.
Set up and manage scheduled jobs using AWS ECS Scheduled Tasks, EventBridge, and Redis-based job queues.
Support data validation and quality checks across tools.
AI/LLM Integration
Work with OpenAI and Anthropic APIs to integrate LLM functionality into tools.
Support prompt iteration and testing under the team's guidance.
Build familiarity with AI evaluation ("evals") concepts as the team develops these further.
Cloud & Infrastructure (AWS)
Get hands-on with AWS services used in our stack: ECS, ALB, S3, RDS, EventBridge.
Support deployment, monitoring, and troubleshooting of services running in ECS.
Tooling & Ways of Working
Use AI-assisted development tools (Cursor, Claude, Copilot, etc.) as part of the daily workflow.
Collaborate closely with the Lead Innovation Engineer and, at times, with stakeholders from other teams (SEO, Content, etc.) to understand requirements.
Qualifications
Education
Bachelor's degree in Computer Science, Engineering, or a related field.
Must-Have Technical Skills
1.5+ years of professional experience.
Solid foundation in Python; some exposure to FastAPI or a similar framework (Flask/Django) is a plus.
Working knowledge of JavaScript/TypeScript; exposure to React/Next.js.
Basic understanding of SQL and relational databases.
Basic understanding of REST APIs and asynchronous programming concepts.
Comfortable using AI coding assistants (Cursor, Copilot, Claude, etc.) as part of daily development.
Working knowledge of Git/GitHub (branching, PRs, code reviews) and a basic understanding of CI/CD pipelines.
Good to Have (not required, but a plus)
Any prior exposure to OpenAI/Anthropic APIs.
Basic familiarity with AWS (any service) or any cloud provider.
Exposure to Redis or job queuing/background task concepts (e.g., RQ, Celery, or similar).
Some exposure to AI agents or agentic workflows.
Exposure to web scraping, data pipelines, or automation.
Soft Skills
Curious and eager to learn — this role will expose you to fast-moving areas of AI tooling.
Good communication skills; comfortable asking questions and flagging blockers early.
Organized and able to manage multiple small tasks/tools at once.
Comfortable working in a small, fast-paced team with high ownership.
Perks
Remote-first and flexible — work from anywhere in India with global exposure.
Monthly long weekends (every third Friday off).
Generous wellness stipends and parental leave.
A collaborative team where your voice is heard and your work drives real impact.
