Ruby on Rails Developer

Product Engineer

Product Engineer | Fibr.ai

Bengaluru · In office · 2-6 years Stack: Python · FastAPI · Temporal · PostgreSQL · MongoDB

The role Fibr is building the agentic web experience layer - turning every URL into an intelligent agent that senses intent, makes decisions, and adapts in real time. Our agents personalise the full journey, running long LLM workflows against live customer accounts and millions of sessions.

You'll own features end-to-end - from the rough idea in a Slack thread to something shipped, instrumented, and behaving correctly in production. New surface areas land on your plate every few weeks: a new agent, a new integration, a new optimization loop. You're responsible for the whole thing, including the evals and metrics that prove it works. You'll work directly with the founding team and ship to real users every week.

What you'll do Ship AI-powered features end-to-end - backend, data, LLM layer, and the surface the user sees Design long-running workflows that hold up against rate limits, partial failures, and noisy third-party APIs Build and maintain the evals, guardrails, and instrumentation that decide whether a feature is good enough to ship Model the data behind agents and the analytics behind product decisions Sit in on architecture calls and shape where the platform goes next

Must-haves 2-6 years of production backend experience Has shipped LLM-powered features to real users in production - not demos, not side projects. Be ready to talk about what broke and how you fixed it Has built and run evals for LLM systems. Show us the harness, the dataset, and the decisions it drove Comfortable across relational and document databases Has worked with a durable workflow or queue system in production Ships fast without breaking the build Nice-to-haves RAG, vector stores, or tool-use / multi-step agents in production Experience with rate-limited third-party APIs at scale (ad platforms, CRMs, analytics) Strong product sense - you catch the UX issue before the user does Time spent at an early-stage startup

How we work High ownership, low bureaucracy. Decisions in the room, not in docs. You'll work directly with the founding team.

Why Fibr AI Competitive salary + meaningful early-stage equity A chance to build deep expertise at the frontier of AI product

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Requirements:

• Proficient in fundamental Software Design Principles, Data Structures, Algorithms, Problem Solving and Complexity Analysis.
• Proficient in programming languages like Python/Java/Javascript/Golang or similar.
• Strong understanding of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Hands-on Experience with SQL/NoSQL databases such as Postgres, Mysql, MongoDB.
• Hands-on experience with GIT, CI/CD, REST APIs and Cloud ( AWS/ GCP/ Azure) will be preferred.
• Understanding of Microservice Architecture and System Design Principles is a plus.
• Self-driven, detail-oriented and Strong sense of ownership, urgency, and ability to deliver great work.
• Demonstrated expertise in developing, releasing and maintaining large scale software applications.

• Manage and improve the engineering process continuously and make sure the team delivers the quality code with zero-waste.
• Should provide technical leadership to major projects, but also build and manage a team of 5-8 top-notch engineers.
• Should do sprint planning and run daily stand-ups and deliver 100% hit rate.
• Maintain the legacy code base and reduce tech debt on a continuous basis.
• Able to handle multiple projects and deliver with stringent timelines without compromising the code quality.
• Work with the product team for roadmap planning and delivery as per the plan.
• Conduct sprint planning & sizing, engineering grooming, daily stand-ups, and deliver with zero spillovers.
• Prepare & publish sprint reports to the leadership team and provide visibility to stakeholders.
• Hire and mentor junior/ senior team and make them engineering champions.
• Mentor the engineering team with your technical skills to write scalable, generic, reusable code.
• Develop and Coach engineers on the team, share engineering pointers, conduct regular 1-1s with the team, and help them advance in their careers.

Requirements

• Having work experience in a Product organization with 7 -10 yrs also in leading a cross-functional engineering team that includes API Development and Backend & Middleware development.
• Should have experience in the continuous delivery process. Ship new features and improvising the code base continuously.
• Should have involved in setting up engineering process.
• Must have experience in microservices and distributed patterns.
• Must have worked on high traffic and throughput application.
• Must have prior experience in handling mid to large-size projects.
• Must have worked on high traffic and throughput application.
• Should have managed and lead the engineering team of Web App and Backend development teams.
• Must-Have Experience in Python programming & Postgressql/ Nosql (MongoDB as a data store.
• Must have experience in modern back-end tech stacks (Django, Postgress, NoSQL) and cloud design & deployment patterns.
• Must be conversant with AWS, Docker/Kubernetes
• Should be good with design patterns and integration patterns.
• Should have knowledge/ experience in concurrent programming & distributed locks.
• Requires solid understanding of technologies and architecture in a highly scalable and available set-up.
• Should have handled multiple epics, themes, and experience of delivering high-quality projects on time.
• Should have managed end to end development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

We're looking for exprienced Python developers with over 2+ years of production experience and strong expertise in building web applications and APIs using Python, Django and DRF. We are looking for cadidates who are go-getters and are leaning towards leadership positions. Candidates must have a proven history of building, scaling, optimising and securing Python based backends and APIs using a microservice architecture.

Bonus Skills : Experience with ReactJs, Node.js, FastAPI

We would prefer candidates who can join immediately or are currently serving their notice period. Jumpers please excuse, your application will be ignored

Key Skills Required

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications

• Employment type

  Full-time