11+ SciPy Jobs in Bangalore (Bengaluru) | SciPy Job openings in Bangalore (Bengaluru)

PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas

Build AI Systems That Change How Industries Operate

Tailored AI is not just another tech company. We’re building the McKinsey of AI systems a new kind of firm, made up of engineers who understand business deeply and use AI as a force multiplier.

As an SDE 2, you’ll lead and own the engineering for an entire product track, often working directly with clients and stakeholders. You’ll be the architect, the executor, and the problem-solver-in-chief. You’ll take vague problem statements, turn them into elegant solutions, and bring them to life in production.

What You’ll Do

• Architect and build AI-powered software solutions from scratch
• Own a full engineering track—backend, infra, integrations, and LLM workflows
• Interface with customers to align on specs, iterate fast, and deploy with confidence
• Mentor SDE 1s and Interns, conduct code reviews, and guide engineering quality
• Stay on top of AI trends, contribute to internal tooling and shared best practices

What You’ll Gain

• Leadership opportunties and fast progression to Senior SDE roles
• Deep knowledge of how AI is transforming industries while actually building it
• High ownership, zero bureaucracy, and direct influence on product direction
• Exposure to multi-agent AI systems, enterprise integrations, and scalable infra

Who You Are

• 2–3 years of strong backend engineering experience
• Proven track record of owning software modules and delivering in production
• Skilled in Python, Django/FastAPI, Postgres, AWS
• Exposure to system design and performance optimization
• Interest in AI tools like Langchain, OpenAI, vector DBs, etc.
• Strong analytical and communication skills

Tech Stack You’ll Work With

• Python, Django, FastAPI
• Postgres, Redis, S3
• EC2, Lambda, Cloudwatch
• Langchain, LLM APIs, Vector DBs
• REST APIs, Microservices, GitHub Actions

Some Real Problems You Might Work On

• Building a multi-agent career coaching assistant that guides users and automates job hunting
• Deploying a chatbot that generates employee performance reviews on-demand from HR data
• Designing an LLM pipeline to help Indian lawyers access precedents, statutes, and case law in seconds

Interview Process

1. Screening – A quick call with a Co-Founder to align on fit
2. CV + Puzzle + Programming – 1 hour round to gauge problem-solving and fundamentals
3. Live Coding – Solve a coding task using Python + docs
4. System Design – For SDE 2, a take-home problem and a detailed discussion round

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system

We are looking for a high-performing Developer to build our ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well-written code, testing, and excel at coming up with simple approaches to complex problems.

Our work culture is overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry.

Job Responsibilities:

• Understand project requirements, writing bug-free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model
• Integrate Django backend with third party API
• 100% Hands-on role
• Adapt to rapidly evolving requirements and changing priorities and drive the team accordingly
• Reverse engineer for debugging errors in code and ensure quality control in the process.
• Continually drive products towards a meaningful balance between user needs, business objectives and technical feasibility
• Operate in a hyper-collaborative way and follow these guiding principles: Value common sense and simplicity over complexity.

Qualifications:

• Bachelor or Master Degree in Computer Science from a reputed University
• 3 to 5 years of experience working in Django and Python.
• React and/or Angular for front end
• Proficiency in MongoDB and MySql
• Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
• Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants
• Experience in writing unit testing and test case automation.
• Ability to operate in an Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.

About the Role

If you are interested in developing the future architecture of Uber's Rider stack by building its core building blocks, join the Rider Backend Platform team. We build backend architectural components and frameworks comprising of services, libraries, state storage and other building blocks that aim to optimise the core Rider flow and foundational features that are shared among all rider products, including but not limited to, Uber Rider app, UberLite, m.uber.com, etc.

What You'll Do

• Work with Rider product engineering teams to identify, design and build solutions that help scale Rider services and platforms.
• Drive adoption of best practices in code health, testing, and maintainability
• Analyze and decompose complex software systems and collaborate with cross-functional teams to influence design for scalability and testability
• Work with smart and motivated teammates in a fast-paced, collaborative environment.
• Build elegant backend platform components for high throughput and low latency distributed systems.
• Solve challenging problems with cutting edge design and algorithms.

What You'll Need

• 4+ years Strong meaningful Individual contributor experience as a software engineer
• Design: Knowledge of data structures and an eye for design. You can discuss the tradeoff between design choices, both on a theoretical level and on an applied level.
• Strong coding/debugging abilities: You have advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Go and Java.
• Fast learner: We're looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the needs of our massive growth and rapidly evolving business environment.
• A team player: You believe that you can achieve more on a team -- that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.

• Business acumen: You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

About the Team: **Rider Backend Platform**

Builds the core building blocks needed to power the rider experiences on the different Rider facing apps including the core Uber app, Uber Lite, Web as we move on to become the preferred transportation platform for millions of riders all over the world.

Uber

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

Designing and developing high-volume, low-latency applications for
critical systems and delivering high-availability and performance
• Contributing in all phases of the development lifecycle
• Writing well designed, testable, efficient code
• Test cases should be upto the mark
• Performance tuning knowledge is a must. Experience is an added advantage.
• In Backend – fundamentals of all languages is a must• Good hands-on software development experience with proven working experience
in Python development
• Expert in Python, with knowledge of at least one Python web framework (such
as Django, Flask)
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process
architecture
• Strong unit test and debugging skills
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and
CSS3
• Understanding of memory model/GC from performance point of view.