Python Developer

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.

Experience Level​

This role is ideal for engineers with 3–15 years of experience and a strong background in building secure, scalable platforms.

We are looking for hands-on DevOps and Backend Engineers with real-world experience in handling production incidents, distributed systems, and modern infrastructure challenges.

What You’ll Do as a Software Craftsperson

• Design and document real-world DevOps and backend scenarios based on production incidents such as outages, scaling challenges, and secure deployments
• Translate real engineering experiences into benchmark tasks that contribute to training next-generation AI systems
• Contribute to building secure, scalable, Kubernetes-native architectures across modern infrastructure environments
• Work across critical engineering domains including CI/CD pipelines, observability, identity & access management, infrastructure-as-code, and backend services
• Collaborate with internal teams to design and simulate realistic engineering workflows and system behaviors
• Apply practical engineering judgment to model distributed systems challenges and improve system resilience and reliability

Requirements

What You’ll Bring

5–15 years of experience in DevOps and Backend Engineering with a strong foundation in building secure, scalable systems.

Strong hands-on expertise in DevOps and backend technologies including:

• Kubernetes, Terraform, and CI/CD pipelines
• Tools such as k9s, k3s (GitLab CI preferred)
• Backend technologies such as Go, Python, or Java
• Experience with Docker, gRPC, and Kubernetes-native services

Demonstrated experience working with secure, offline or air-gapped deployments (highly preferred)

Familiarity with distributed systems and backend architecture, with exposure to ML or distributed pipelines being a plus.

Hands-on experience across multiple core functional areas, with exposure to at least five of the following:

• Identity & Access Management
• Observability (Prometheus + Grafana)
• CI/CD Pipelines
• Keycloak
• GitLab CI
• Terraform OSS
• Kubernetes ecosystem tools

Strong problem-solving ability with real-world experience in handling production systems, incidents, and infrastructure challenges

Ability to work across multiple layers of the stack, from infrastructure to backend services, while ensuring scalability, reliability, and security

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

Key Responsibilities:

·        Develop responsive and dynamic web applications using React.js (components, hooks, state management).

·        Build and maintain backend APIs and services using Python (Flask/Django/FastAPI).

·        Integrate frontend and backend systems with RESTful APIs.

·        Work with databases (PostgreSQL/MySQL/NoSQL) for data modeling and query optimization.

Required Skills:

·        3–5 years of experience in full-stack development.

·        Proficiency in React.js (functional components, hooks, Redux/Context API).

·        Strong backend development experience with Python (Flask/Django/FastAPI).

·        Solid understanding of REST APIs, JSON, and web security principles.

·        Hands-on experience with SQL/NoSQL databases.

·        Familiarity with Git, CI/CD pipelines, and containerization (Docker).

·        Strong problem-solving and communication skills.

Budget : 18 – 24 LPA

If interested kindly share your resume at 82008 31681

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

Hi,

We need a fullstack developer who can write quality code real fast as we are fast-paced startup

Roles and Responsibilities

1. Backend development in Python/Flask
2. Frontend development in React/Next
3. Deployment using AWS

You will learn a lot on the job so we need someone who is willing to learn and put in the work

A network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth.  We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud.  We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices.  We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.

You will be working on AI/IOT cloud and responsible for architecture and hands on coding. 
We need someone who can engage in conversations about technical architecture with internal teams and external customers. Write well designed, testable, efficient code by using the best software.

We are looking for a Senior full-stack preferred with a demonstrated track

record of developing and maintaining production services, innovative thinking, and technical

excellence. As a senior engineer, you will be responsible for the end-to-end ownership of

systems, from conception to launch and maintenance. You should have a solid understanding of

software development lifecycle and software design principles.

.

This person MUST have:

• BE Computer Science, MCA or equivalent
• Cloud app development experience
• Strong Django and ReactJS experience
• Advanced knowledge of Python and relational databases
• Understanding of APIs, pagination, searching, sorting 
• Experience with building, modifying and extending API endpoints (REST or

GraphQL) for data retrieval and persistence.

• Creating high performance UI etc.
• Experience with SQL and NOSQL databases

• Experience with the full software development life cycle, including requirements

collection, design, implementation, testing, and operational support.

• Experience with scrum or other agile software development methodology.
• Excellent verbal and written communication, teamwork, decision making and

influencing skills.

Experience:

• Min 3 year experience
• Startup experience is a must. 

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone. 
  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

About Briq

With locations in California, Canada and India, Briq is altering the landscape for construction decision making. We are harnessing the power of data to build the industry's first construction data cloud. Leaders in automation, machine learning, and artificial intelligence, Briq is helping construction companies minimize risk and maximize success.

Briq is a financial automation platform that is changing the way construction companies run their business.

Know More About Us

https://angel.co/recruit/jobs/2225999">https://br.iq/about/us

https://angel.co/recruit/jobs/2225999">https://techcrunch.com/2019/02/22/briq-the-next-building-block-in-techs-reconstruction-of-the-construction-business-raises-3-million/

Tech Stack

Must Have

Python 3.6 or later, Flask or Django, Microservices, SQL / NoSQL , REST APIs , Redis , Docker, Design Patterns, Unit Testing, HTML/ CSS / Javascript, VueJs or ReactJs, Git, Low Level System Design

Nice To Have

Cloud (AWS/ GCP / Azure), Software Best Practices, Data Structures, Algorithms, System Design, Gitlab, Database Design, ELK Stack, Messaging technologies like RabbitMQ, Apache Kafka etc.

Responsibilities

Develop applications and features Identify and resolve roadblocks ahead of time
Be an independent contributor with high throughput
Align with product and project managers and ensure proper handoff of requirements
Develop, test, debug, support, and enhance software as per product specifications
Maintain strong coding, compliance, and security standards
Evaluate and provide technical solutions to solve a variety of complex and interdependent processes.
Drive complete ownership over every technical aspect of the features As part of the team, ensure members adhere to our code quality and testing standards.

Your Qualifications

Working experience in VueJs or ReactJs 3-7 years
Working experience in Python 3-7 years
Demonstrated end-to-end ownership for development of least one cloud-based product -
Experience in building microservices / platforms is desirable
Exceptional communication and interpersonal skills - including work estimation, facilitation, and consensus building skills Mentoring / coaching Junior Engineers.
Willingness to learn new technologies is a must
Proven ability to project and meet estimated deadlines
Self-motivated, fast learner with attention to detail and quality
Excellent diagnostic, troubleshooting, and communication skills

Benefits

Modern tech stack for curious minds - Cloud, Kubernetes, Microservices Extensive individual responsibility and support to grow professionally Market competitive pay Best in industry wellness benefits - medical insurance, leaves, work-life balance Flexible work hours Remote work Transparent culture and process with open access to management

Quickly adapt to our startup environment which is both demanding and fast-paced (but is also a lot of fun)

Eager in learning new concepts, technologies and be productive in a short time

Convert a raw idea into usable real-life software products

Good understanding and working knowledge of technologies worked

Demonstrate good problem-solving skills

Write modular, readable, and maintainable code

Own and be able to manage a small to medium-sized project

Demonstrate the ability to guide and coach a new team member or fresher.