Software Engineer – AI/ML Exposure (5+ Years Experience)

7+ years in software programming experience with the following 

AIDLC - Experience building Agentic AI agents and be part of POD that uses AI agents for software development lifecycle. 

UI - ANGULAR or REACT worked on any version >2013, JavaScript, HTML, CSS 

API and Backend - Java/J2EE, Spring (Core/Boot/Batch), Rest API, Microservices, UI Widgets, NextJS, Test Automation 

- SQL and GraphQ Engineer L 

- Analytical and debugging capabilities using Splunk Queries, Azure KQL, Grafana, Dynatrace 

Knowledge and hands-on experience with: 

- Cloud: Azure, OpenShift, AKS 

- DevOps: GitHub, GitHub Actions, Artifactory, Docker 

Database - mySQL 

Agile/Scrum experience 

Prior experience in Healthcare industry Utilization management/prior auth or Care management / Optum Clinical Manager experience preferred. 

AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes but is not limited to: 

Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise. 

Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows. 

Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and velocity. 

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.

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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).

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

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Mandatory (AI Fluency 1): 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.

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Mandatory (AI Fluency 2): Must be able 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.

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

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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)

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

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

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

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.

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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.

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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.

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. 

Experience Level

This role is ideal for engineers with total 3+ years of experience with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.

What You’ll Do as a Software Craftsperson 

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
• Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality 
• Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
• Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
• Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
• Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
• Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
• Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering 

Requirements

What You’ll Bring 

• 3+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
• Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
• Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
• Proficiency in one or more modern technologies, Python, PHP, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
• Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
• Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
• Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
• A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.

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: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. 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

Mandatory skills : Artificial Intelligence,Machine Learning,Large Language Model

 2–4 years of experience in software engineering or AI/ML roles

- Proficiency in Python (preferred) or JavaScript/TypeScript

- Basic understanding of LLMs, RAG, and AI application development

- Familiarity with APIs, microservices, and databases (SQL/NoSQL)

- Exposure to cloud platforms (AWS/Azure/GCP)

- Strong problem-solving and learning mindset

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

Job Details:

• Role: Principal Engineer, Java Angular
• Experience: 11-13 Years
• Employment Type: Full-time
• Work Mode: Remote

Job Description

REQUIREMENTS:

• Total experience: 11+ years.

• Strong hands-on experience in Java and Spring Boot for backend application development.

• Must-have expertise in Angular for building modern, scalable web applications.

• Strong experience in designing and developing RESTful APIs and service-based architectures.

• Hands-on experience with PostgreSQL and relational database design.

• Experience working with API Management/Integration platforms such as Apigee, Kong, or MuleSoft.

• Strong understanding of Object-Oriented Programming (OOP), software design patterns, clean architecture, and separation of concerns.

• Hands-on experience with CI/CD pipelines, containerized development, and cloud-native deployment environments.

• Strong experience implementing automated testing across unit, integration, and end-to-end testing.

• Experience applying secure coding practices, including authentication, authorization, input validation, data protection, and OWASP principles.

• Familiarity with AI-assisted development tools for code generation, refactoring, documentation, and engineering productivity.

• Strong experience working in Agile (Scrum/Kanban) product development environments.

• Experience participating in code reviews, technical design discussions, and architecture reviews.

• Strong debugging, problem-solving, communication, and stakeholder collaboration skills.

• Ability to write clean, maintainable, scalable, and production-quality code following engineering best practices.

RESPONSIBILITIES:

• Design, develop, and maintain scalable backend services using Java Spring Boot.

• Design, develop, and maintain modern frontend applications using Angular.

• Build, enhance, and maintain RESTful APIs, integrations, and business services.

• Develop scalable, secure, and high-performance full-stack applications following clean architecture principles.

• Apply software design patterns, object-oriented principles, and clean coding practices throughout the development lifecycle.

• Contribute to system architecture, technical design, solution decomposition, and implementation decisions.

• Review and improve application architecture, code quality, maintainability, and overall engineering standards.

• Implement secure coding practices, ensuring application security, data protection, and compliance with OWASP guidelines.

• Develop and execute automated tests across unit, integration, and end-to-end testing levels.

• Build and manage CI/CD pipelines while supporting containerized and cloud-native deployments.

• Leverage AI development tools responsibly to accelerate coding, testing, refactoring, documentation, and engineering productivity.

• Perform code reviews, root cause analysis, debugging, and performance optimization to improve system reliability and scalability.

• Collaborate closely with Product Managers, Architects, QA, Platform teams, and other stakeholders in Agile environments.

• Identify technical risks early and recommend effective solutions to ensure high-quality software delivery.

• Drive continuous improvement in engineering practices, development processes, and product quality.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.  

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions for the digital enterprise. Operating at the intersection of cloud computing and enterprise software, the company develops high-performance platforms that streamline complex business operations. With a strong presence in the Bangalore tech ecosystem, Euphoric Thought Technologies supports clients across diverse sectors by delivering robust, secure, and efficient backend architectures that power modern digital experiences.

Role Overview:

As a Java Developer, you will be responsible for designing and maintaining the core backend systems that drive our client platforms. You will work closely with cross-functional product and engineering teams to translate complex business requirements into high-quality, maintainable code. Your contribution will directly impact the scalability and reliability of our services, ensuring that our end-users experience seamless performance as we continue to expand our technical footprint.

Key Responsibilities:

- Develop and maintain high-performance backend services using Java and Spring Boot to ensure system reliability for our enterprise clients.

- Design and implement scalable microservices architectures that allow for modular growth and easier maintenance of complex application features.

- Optimize database interactions and data persistence layers using Hibernate to improve application speed and resource efficiency.

- Build and expose secure RESTful web services to facilitate seamless communication between internal systems and third-party integrations.

- Deploy and manage application infrastructure on AWS to ensure high availability and fault tolerance for mission-critical business processes.

- Collaborate with engineering leads and stakeholders to troubleshoot production issues and implement performance enhancements that improve the overall user experience.

Required Skillset:

- Demonstrated expertise in Java development with 3 to 6 years of hands-on experience in building enterprise-grade applications.

- Proficiency in Spring Boot and Hibernate for developing robust backend frameworks and managing complex data models.

- Strong understanding of microservices architecture and the ability to design decoupled, scalable service components.

- Practical experience in developing and consuming RESTful web services within a distributed environment.

- Hands-on experience with AWS services for cloud deployment, monitoring, and infrastructure management.

- Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.

- Ability to work effectively in a hybrid office environment in Bangalore, collaborating with distributed teams to meet project milestones.

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.