Software Engineer at Dori AI · Bengaluru (Bangalore) · 2 - 8 years · ₹8L - ₹20L / yr · Raised funding · Posted 28 Feb 2023

Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full-stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security, and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.
Job brief: Sr. Software Engineer/Software Engineer
All of our team members are expected to learn, learn, and learn! We are working on cutting-edge technologies and areas of artificial intelligence that have never been explored before. We are looking for motivated software engineers with strong coding skills that want to work on problems and challenges they have never worked on before. All of our team members wear multiple hats so you will be expected to simultaneously work on multiple aspects of the products we ship.
Responsibilities
- Participate heavily in the brainstorming of system architecture and feature design
- Interface with external customers and key stakeholders to understand and document design requirements
- Work cross-functionally with Engineering, Data Science, Product, UX, and Infrastructure teams
- Drive best coding practices across the company (i.e. documentation, code reviews, coding standards, etc)
- Perform security, legal, and license reviews of committed code
- Complete projects with little or no supervision from senior leadership
Required Qualifications
- Built and deployed customer-facing services and products at scale
- Developed unit and integration tests
- Worked on products where experimentation and data science are core to the development
- Experience with large-scale distributed systems that have thousands of microservices and manages millions of transactions per day
- Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles
- Must have at least 4+ years of experience in back-end web development with the following tools: Python, Flask, FastAPI, AWS or Azure, GCP, Java or C/C++, ORM, Mongo, Postgres, TimescaleD, CI/CD
Desired Experience/Skills
- You have a strong background in software development
- Experience with the following tools: Google Cloud Platform, Objective C/Swift, Github, Docker
- Experience with open-source projects in a startup environment
- BS, MS, or Ph.D. in Computer Science, Software Engineering, Math, Electrical Engineering, or other STEM degree

About Dori AI
About
At Dori, we develop platforms and services that enable artificial intelligence centered application development for mobile edge devices, embedded IoT devices, on-premise servers, and cloud platforms. The company provides a turnkey solution to add intelligence in applications by simplifying model development and deployment.
We have developed an AI-as-a-service platform that provides prebuilt and custom engines to evaluate, deploy, and monitor artificial intelligence systems for consumer and enterprise applications. Application developers can rapidly develop and deploy AI-enabled applications for multiple operating systems, hardware architectures, and cloud infrastructures.
Connect with the team
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🚀 Job Title : Backend Engineer (Go / Python / Java)
Experience : 3+ Years
Location : Bangalore (Client Location – Work From Office)
Notice Period : Immediate to 15 Days
Open Positions : 4
Working Days : 6 Days a Week
🧠 Job Summary :
We are looking for a highly skilled Backend Engineer to build scalable, reliable, and high-performance systems in a fast-paced product environment.
You will own large features end-to-end — from design and development to deployment and monitoring — while collaborating closely with product, frontend, and infrastructure teams.
This role requires strong backend fundamentals, distributed systems exposure, and a mindset of operational ownership.
⭐ Mandatory Skills :
Strong backend development experience in Go / Python (FastAPI) / Java (Spring Boot) with hands-on expertise in Microservices, REST APIs, PostgreSQL, Redis, Kafka/SQS, AWS/GCP, Docker, Kubernetes, CI/CD, and strong DSA & System Design fundamentals.
🔧 Key Responsibilities :
- Design, develop, test, and deploy backend services end-to-end.
- Build scalable, modular, and production-grade microservices.
- Develop and maintain RESTful APIs.
- Architect reliable distributed systems with performance and fault tolerance in mind.
- Debug complex cross-system production issues.
- Implement secure development practices (authentication, authorization, data integrity).
- Work with monitoring dashboards, alerts, and performance metrics.
- Participate in code reviews and enforce engineering best practices.
- Contribute to CI/CD pipelines and release processes.
- Collaborate with product, frontend, and DevOps teams.
✅ Required Skills :
- Strong proficiency in Go OR Python (FastAPI) OR Java (Spring Boot).
- Hands-on experience building Microservices-based architectures.
- Strong understanding of REST APIs & distributed systems.
- Experience with PostgreSQL and Redis.
- Exposure to Kafka / SQS or other messaging systems.
- Hands-on experience with AWS or GCP.
- Experience with Docker and Kubernetes.
- Familiarity with CI/CD pipelines.
- Strong knowledge of Data Structures & System Design.
- Ability to independently own features and solve ambiguous engineering problems.
⭐ Preferred Background :
- Experience in product-based companies.
- Exposure to high-throughput or event-driven systems.
- Strong focus on code quality, observability, and reliability.
- Comfortable working in high-growth, fast-paced environments.
🧑💻 Interview Process :
- 1 Internal Screening Round
- HR Discussion (Project & Communication Evaluation)
- 3 Technical Rounds with Client
This is a fresh requirement, and interviews will be scheduled immediately.
Senior Software Engineer – Backend
Company: House of EdTech (Goenka Kachave LLP)
Location: Bangalore, Hybrid
Job Type: Full-Time
Experience: 5+ Years
About the Role
House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.
You’ll work closely with Product, Frontend, Data, and Engineering teams while taking end-to-end ownership of backend features and contributing to system architecture and technical decisions.
What You'll Do
- Design and develop scalable backend services and REST APIs.
- Build reliable systems capable of handling high traffic and large data volumes.
- Own backend features from design and development through deployment and monitoring.
- Work with microservices, databases, and distributed systems.
- Identify and solve performance, scalability, reliability, and security challenges.
- Participate in system design and architecture discussions.
- Conduct code reviews and contribute to engineering best practices.
- Mentor junior and mid-level engineers.
- Monitor production systems and troubleshoot incidents.
What We're Looking For
- 5+ years of professional backend development experience.
- Strong hands-on experience with Java, Python, Scala, C++, or a similar language.
- Experience building and operating large-scale distributed systems.
- Strong understanding of REST APIs, microservices, and databases.
- Experience with cloud/infrastructure technologies such as GCP, Docker, or Kubernetes.
- Strong software engineering fundamentals, including security, reliability, testing, and code quality.
- Experience with system design, architecture, and technical decision-making.
- Strong communication and cross-functional collaboration skills.
- Experience mentoring engineers is a plus.
Why Join House of EdTech?
- Work on products impacting millions of learners.
- Solve challenging backend and scalability problems.
- Take significant ownership of architecture and engineering decisions.
- Opportunity to grow into technical leadership and architectural ownership.
- Work in a fast-growing technology environment.
Key Responsibilities
● Lead the architecture, design, development, and delivery of scalable backend services
using Python.
● Own technical direction and architectural decisions for backend systems and services.
● Design and build robust RESTful APIs, microservices, and distributed systems
capable of handling high-scale workloads.
● Design and implement real-time communication systems, including WebSocket-based
services, where required.
● Drive system performance, scalability, reliability, availability, and security.
● Lead performance optimization, capacity planning, monitoring, debugging, and
production issue resolution.
● Establish and promote best practices around code quality, testing, observability, CI/CD,
and production readiness.
● Collaborate closely with frontend, product, DevOps, infrastructure, and other
cross-functional teams to deliver end-to-end solutions.
● Mentor and provide technical guidance to engineers, contributing to overall team growth
and engineering excellence.
● Review code and architecture designs, identify technical risks, and drive improvements
across backend systems.
● Take ownership of complex technical problems and deliver reliable, maintainable,
production-grade solutions.
Required Skills & Qualifications
● 5+ years of software engineering experience, with significant experience in backend
development.
● Strong expertise in Python and experience building production-grade backend
applications.
● Proven experience designing and developing REST APIs and microservices
architectures.
● Strong understanding of distributed systems, scalability, fault tolerance, and
high-availability architectures.
● Hands-on experience with WebSockets and real-time backend integrations.
● Strong experience with SQL/NoSQL databases, caching systems, and data-intensive
applications.
● Experience with performance optimization, monitoring, logging, debugging, and
production operations.
● Strong understanding of software engineering principles, design patterns, and clean
architecture.
● Proven ability to lead technical initiatives and make sound architectural decisions.
● Strong communication, collaboration, and technical leadership skills.
● Experience mentoring engineers and conducting effective code and design reviews.
Technical Expertise
• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks
and best practices.
• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or
DynamoDB.
• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-
availability system design.
• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.
• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and
design patterns.
• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment
systems.
• High-Performance Systems – Implemented solutions that handle high availability, concurrency,
and low-latency requirements.

2–4 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Strong analytical and debugging skills with the ability to solve complex problems.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Key Responsibilities
- Design end-to-end architecture for scalable full-stack applications.
- Lead backend development using Python and Flask framework.
- Design and optimize MongoDB data models and queries.
- Define frontend architecture (React/Angular/Vue – as applicable).
- Establish coding standards, design patterns, and best practices.
- Build and optimize RESTful APIs and microservices.
- Implement authentication, authorization, and security best practices.
- Ensure high performance, scalability, and reliability of applications.
- Drive CI/CD implementation and DevOps best practices.
- Review code, mentor developers, and guide technical decisions.
- Collaborate with product, DevOps, and data teams.
- Troubleshoot complex production issues and perform root cause analysis.
- Lead cloud deployment strategies (Azure/AWS/GCP preferred).
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or related field.
- 8+ years of software development experience.
- 4+ years of hands-on Python backend development.
- Strong expertise in Flask framework.
- Deep experience with MongoDB (schema design, indexing, aggregation).
- Experience designing RESTful and microservices architectures.
- Strong understanding of frontend technologies (JavaScript, HTML, CSS).
- Experience with Git and modern CI/CD pipelines.
- Solid knowledge of system design, scalability, and performance tuning.
- Experience with containerization (Docker preferred).
- Strong problem-solving and architectural thinking skills.
Job Overview
Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.
Key Responsibilities
- Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
- Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
- Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
- Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
- Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
- Ensure system reliability, security, and low-latency performance for mission-critical systems
- Lead technical design discussions, conduct code reviews, and mentor junior engineers
- Optimize database queries, implement caching strategies, and improve overall system performance
- Collaborate with cross-functional teams to deliver end-to-end product features
- Implement monitoring, logging, and observability solutions
Required Skills and Qualifications
- 2+ years of professional backend development experience
- Strong expertise in NodeJS and Python for production-grade applications
- Proven experience building RESTful APIs and microservices architectures
- Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
- Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
- Strong proficiency in PostgreSQL, including query optimization and schema design
- Hands-on experience with RabbitMQ and Kafka
- Experience with BigQuery or similar data warehousing solutions
- Solid understanding of distributed systems, scalability patterns, and high-traffic applications
- Strong knowledge of authentication, authorization, and security best practices
- Experience with Git, CI/CD pipelines, and modern development workflows
- Excellent problem-solving and debugging skills
- Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus
Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
This is a remote position.
Experience Level
This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.
We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.
What You’ll Do as a Software Craftsperson
• Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.
• Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.
• Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.
• Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.
• Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.
• Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.
• Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.
• Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.
Requirements
What You’ll Bring
3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.
Must-Have Skills
• Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.
• TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.
• Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.
• Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.
• Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.
• Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.
Good-to-Have Skills
• AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.
• LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.
• Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.
• Vector databases and observability tooling: exposure to tools like Pinecone, PgVector, Qdrant, LangSmith, or DeepEval.
• Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat — with all travel expenses covered.
Our environment is built for crafters: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion.
Perks
• Dedicated learning & development budget
• Sponsorship for conference talks
• Comprehensive medical & term insurance
• Employee-friendly leave policies
• Home Office fund
• Medical Insurance

Core Responsibilities:
- Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
- System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
- Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
- Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
- Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
- Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
- Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
- Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.
Experience and Expertise:
- 4–7 years of backend development experience with Python or Golang.
- Strong expertise in designing, developing, and scaling microservices and distributed systems.
- Solid understanding of concurrency, multi-threading, and performance optimization.
- Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
- Hands-on experience with Linux development, Docker, and Kubernetes.
- Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
- Strong debugging, profiling, and optimization skills for production-grade systems.
- Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.
Skills:
- Strong problem-solving ability, with experience handling complex technical challenges.
- Ability to lead technical initiatives and mentor junior engineers.
- Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
- Self-motivated, proactive, and able to operate independently while aligning with team goals.
- Passionate about engineering culture, quality, and developer productivity.

Experience and Expertise
● 7– 10 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Skills
● Strong analytical and debugging skills with the ability to solve complex problems.
● Good communication and collaboration skills across teams.
● Ability to work independently with minimal supervision while being a strong team
player.
● Growth mindset – eagerness to learn new technologies







