Senior Software Engineer

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Role & Responsibilities:

We are seeking a Software Developer with 2-10 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities

• Develop, test, and maintain Python-based applications and APIs.

• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.

• Work with JSON-based data structures for request/response handling. • Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.

• Collaborate with the product and AI teams to implement new features. • Debug, troubleshoot, and optimize performance of applications and workflows.

• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Required Skills & Qualifications

• Strong knowledge of Python (scripting, APIs, data handling).

• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.

• Experience with JSON data parsing and transformations.

• Familiarity with PostgreSQL or other relational databases.

• Ability to write clean, maintainable, and well-documented code.

• Strong problem-solving skills and eagerness to learn.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice-to-Have (Preferred)

• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).

• Experience working in startups or fast-paced environments.

• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).

What We Offer

• The opportunity to define the future of GovTech through AI-powered solutions.

• A strategic leadership role in a fast-scaling startup with direct impact on product direction and market success.

• Collaborative and innovative environment with cross-functional exposure.

• Growth opportunities backed by a strong leadership team.

• Remote flexibility and work-life balance.

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

Job Location: Sewri, Mumbai, Maharashtra

Required experience:

• Minimum 2 year of experience in Web & Backend Development using Python

Overview

We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
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

KRAs includes:

1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to

provide optimal deliveries on time

1. Writing Scalable, maintainable code
2. Building secured REST APIs
3. Setting up batch task processing environments using Celery
4. Unit testing prepared modules
5. Bug fixing issues as reported by the QA team
6. Optimization and performance tuning of code

The Role:

We are looking for an enthusiastic Technology Lead (Python or Node), who adopts a hands-on approach and loves to build scalable, distributed and large web / mobile products. You would be responsible for designing the architecture, reviewing the code, building the technology and deploying web/mobile applications.

Responsibilities:

• Own the product development from scratch.
• Design and implementation of low-latency, high-availability, and performant applications.
• Architect scalable software solutions and mentor a team of high performing developers.
• Participate in code reviews, design reviews, SCRUM ceremonies, and troubleshoot to ensure uptime for live systems etc.

Requirements:

• Bachelor's degree in a technology-related field from a premier college.  
• Prior 4+ years of experience in back-end development (Python/ Golang) in a start-up or a dynamic work environment.
• Good exposure in writing and optimizing SQL for high-performance systems.
• Understanding of asyncio and eventloop/ uvloop concepts. Knowledge of frameworks such as Quart/ Fastapi/ Starlette is preferred.
• Knowledge of AWS; Caching technologies like Redis, Memcache; ELK; mySQL Databases, etc.
• Strong understanding of System Design, Microservice Architecture, Kafka, Pub/Sub, Message queues, and in-memory data stores etc.
• Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment.

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
• 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for gym or physical activity of your choice 🏋🏽‍♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.