AI Native Backend Engineer (Core Java, 3 Months Product company only

AI Native Backend Engineer (Core Java, 3 Months Product company only

AI Native Backend Engineer (Core Java, 3 Months Product company only at Staffnixcom · Bengaluru (Bangalore), Chennai, Ahmedabad · 2 - 6 years · ₹25L - ₹30L / yr · Bootstrapped · Posted 18 Oct 2026

AI Native Backend Engineer (Core Java, 3 Months Product company only

at Staffnixcom

Posted by Mayank Choudhary

2 - 6 yrs

₹25L - ₹30L / yr

Bengaluru (Bangalore), Chennai, Ahmedabad

Skills

Java

Python

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

9

Mandatory (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.

10

Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.

11

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

12

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

13

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

14

Preferred (Backend): Hands-on Python experience is a plus.

Read more

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About Staffnixcom

Founded :

2024

Type :

Services

Size :

0-20

Stage :

Bootstrapped

About

First B2B Recruitment Agency Platform - Helping agencies grow faster and professionals find verified opportunities.

Read more

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About Us

We're building the next generation of AI-powered business software. Our Chatbot application brings AI directly into customer and business workflows, combining a robust backend with LLM-powered agents to get real work done through conversation.

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About the Role

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Experience: 5+ Years

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What You'll Do

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5+ years of professional backend development experience.
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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.

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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.

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.

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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.

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Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
Effectively communicate complex design and architecture details
Understand company and industry-wide trends to help develop new technologies
Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
8-15 years of professional experience in engineering with a history of technical innovation
Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
Demonstrated success in designing and developing large-scale, complex systems
Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

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In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

Staff Engineer - AI:

Location : India, Remote

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
Effectively communicate complex design and architecture details
Understand company and industry-wide trends to help develop new technologies
Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
8-15 years of professional experience in engineering with a history of technical innovation
Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
Demonstrated success in designing and developing large-scale, complex systems
Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

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MNC

Java Gen Ai Developer

MNC

Agency job

via VY SYSTEMS PRIVATE LIMITED by Akilandeswari Panneerselvam

banglore,hyderabad

4 - 8 yrs

₹6L - ₹15L / yr

Spring Boot

Microservices

kafka

lang chain

Generative AI (GenAI)

+2 more

Role: Developer – Java GenAI

Location: Hyderabad / Bangalore

Work Mode: Hybrid

Experience: Relevant experience in Java, GenAI and Microservices

Notice Period: Immediate to 15th October Joiners

Key Skills: Java, Spring Boot, Microservices, Kafka, LLM, RAG, Vector Databases, LangChain/LangGraph, Spring AI, PL/SQL, GCP/AWS, JMS, DevOps, CI/CD, JUnit, Mockito, Oracle/RDBMS, Redis/NoSQL.

Good to Have: Azure, Docker, Kubernetes/PaaS, Python, GitHub Copilot.

Strong understanding of Agile/Scrum with excellent communication, teamwork, organization and problem-solving skills.

Role: Developer – Java GenAI

Location: Hyderabad / Bangalore

Work Mode: Hybrid

Experience: Relevant experience in Java, GenAI and Microservices

Notice Period: Immediate to 15th October Joiners

Key Skills: Java, Spring Boot, Microservices, Kafka, LLM, RAG, Vector Databases, LangChain/LangGraph, Spring AI, PL/SQL, GCP/AWS, JMS, DevOps, CI/CD, JUnit, Mockito, Oracle/RDBMS, Redis/NoSQL.

Good to Have: Azure, Docker, Kubernetes/PaaS, Python, GitHub Copilot.

Strong understanding of Agile/Scrum with excellent communication, teamwork, organization and problem-solving skills.

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MNC

Ai FSD with java

MNC

Agency job

via VY SYSTEMS PRIVATE LIMITED by aafia parveen

Bengaluru (Bangalore), Hyderabad

6 - 12 yrs

₹2L - ₹25L / yr

Java

Spring Boot

Generative AI

Artificial Intelligence (AI)

Javascript

+3 more

Job Description: Senior Full Stack AI Engineer

Position: Senior Full Stack AI Engineer

Experience: 6+ Years

Location: Bangalore (preferred), Hyderabad

Joining: Immediate

About the Role

We are looking for highly skilled Senior Full Stack AI Engineers who can independently

design, build, and deploy AI-powered applications leveraging Large Language Models

(LLMs). The ideal candidate should be equally comfortable working across the full stack,

from developing scalable backend services and modern frontend applications to creating AI-

driven solutions and automated testing frameworks that enable developer-led quality

engineering.

This role requires hands-on expertise in LLM development, application architecture, and test

automation, effectively helping organizations accelerate delivery while reducing dependency

on traditional QA teams.

Key Responsibilities

∙Design, develop, and deploy AI-powered applications using Large Language Models

(LLMs), with experience in Claude preferred.

∙Architect and build scalable full stack applications using Java, Spring Boot,

ReactJS, NextJS, TypeScript, and JavaScript.

∙Develop intelligent workflows utilizing AI agents, prompt engineering, retrieval-

augmented generation (RAG), and model integrations.

∙Create end-to-end automated test suites using Playwright, Perfecto, and other

modern automation frameworks to support developer-led testing.

∙Build and integrate RESTful APIs and microservices following modern architecture

principles.

∙Design and manage data solutions using SQL, NoSQL, and MongoDB.

∙Develop event-driven applications using messaging platforms such as Kafka.

∙Implement secure, scalable, and high-performance solutions using Spring Security,

OAuth, and multi-threaded programming.

∙Leverage AWS services including ECS, Lambda, and Step Functions to build cloud-

Job Description: Senior Full Stack AI Engineer

Position: Senior Full Stack AI Engineer

Experience: 6+ Years

Location: Bangalore (preferred), Hyderabad

Joining: Immediate

About the Role

We are looking for highly skilled Senior Full Stack AI Engineers who can independently

design, build, and deploy AI-powered applications leveraging Large Language Models

(LLMs). The ideal candidate should be equally comfortable working across the full stack,

from developing scalable backend services and modern frontend applications to creating AI-

driven solutions and automated testing frameworks that enable developer-led quality

engineering.

This role requires hands-on expertise in LLM development, application architecture, and test

automation, effectively helping organizations accelerate delivery while reducing dependency

on traditional QA teams.

Key Responsibilities

∙Design, develop, and deploy AI-powered applications using Large Language Models

(LLMs), with experience in Claude preferred.

∙Architect and build scalable full stack applications using Java, Spring Boot,

ReactJS, NextJS, TypeScript, and JavaScript.

∙Develop intelligent workflows utilizing AI agents, prompt engineering, retrieval-

augmented generation (RAG), and model integrations.

∙Create end-to-end automated test suites using Playwright, Perfecto, and other

modern automation frameworks to support developer-led testing.

∙Build and integrate RESTful APIs and microservices following modern architecture

principles.

∙Design and manage data solutions using SQL, NoSQL, and MongoDB.

∙Develop event-driven applications using messaging platforms such as Kafka.

∙Implement secure, scalable, and high-performance solutions using Spring Security,

OAuth, and multi-threaded programming.

∙Leverage AWS services including ECS, Lambda, and Step Functions to build cloud-

Read more

Incubyte

Software Craftsperson- Python/Typescript/AI

4 recruiters

Sandli Srivastava

Posted by Sandli Srivastava

Remote only

3 - 6 yrs

Best in industry

Python

TypeScript

Artificial Intelligence (AI)

React.js

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

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

Read more

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