Senior Engineer - Full Stack

tax.com; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Global Award-Winning Culture

Flexible Work Environment

Generous Paid Time Off

World-Class Benefits and Compensation

Rapid Growth Opportunities

Job summary

tax.com is seeking a Senior Engineer to design, develop, and deliver AI-driven software systems. This role requires ownership of complex components and active participation in architectural discussions.

The ideal candidate should possess 6–9 years of software engineering experience, a deep understanding of programming concepts, and proficiency in cloud services. Enjoy a flexible work environment, generous paid time off, and opportunities for rapid growth.

Qualifications

• 6–9 years of software engineering experience, building production-grade systems.
• Experience shipping AI/LLM-powered features into real user workflows.
• Proficiency in one modern full-stack and cloud services (AWS/Azure).

Responsibilities

• Translate business needs into full-stack components and workflows.
• Integrate applications and services using APIs and middleware.
• Develop and deploy software in Azure cloud environments.

Skills

Core programming concepts

System design principles

Application performance optimization

Agentic systems with LLMs

Full-stack development

Tools

Azure Cloud

Docker

Kubernetes

Redis

Job description

• Assist in translating high-level architecture into low-level designs.

Why Ryan?

• Global Award-Winning Culture
• Flexible Work Environment
• Generous Paid Time Off
• World-Class Benefits and Compensation
• Rapid Growth Opportunities
• Company Sponsored Two-Way Transportation
• Exponential Career Growth
  
  

About The Role

As a Senior Engineer, you will play a pivotal role in the design, development, and delivery of robust, scalable, and secure AI-driven software systems. You’ll be expected to own complex components, lead critical feature implementation, and drive engineering best practices within your squad. This role bridges the execution gap between high-level design and detailed implementation, with active participation in solutioning, system integration, evaluation, and continuous improvement initiatives.

You will collaborate with cross-functional teams, contribute to architectural discussions, and ensure that AI solutions align with user needs, business goals, safety expectations, and performance constraints. This role demands hands-on engineering capabilities, a high degree of ownership, and the ability to work independently as well as within a team.

Key Responsibilities

Software Design and Development

• Translate business needs into agentic workflows and production-ready full-stack components (APIs, services, UIs).
• Design and document functional and technical specifications for mid-to-large components.
• Implement agent orchestration, tool-use, and integrations with strong focus on correctness, safety, and reliability.
• Implement and review high-quality code using modern software development practices.
• Conduct design and code reviews with an emphasis on performance, scalability, and maintainability.
  
  

Applications Integration & Middleware

• Integrate enterprise applications and services using APIs and middleware solutions.
• Conduct feasibility assessments and support application interoperability testing.
• Troubleshoot integration issues and support optimization of connected systems.
  
  

Cloud, DevOps & Configuration

• Develop and participate in deploying software in Azure cloud environments.
• Configure platform-specific deployment scripts and troubleshoot build-release issues.
• Participate in infrastructure-as-code practices and cloud performance tuning.
  
  

Testing & Automation

• Define evaluation strategies for agent behavior: golden datasets, regression suites, scenario coverage, and reliability checks.
• Instrument and monitor agent behavior (tool-call traces, latency/cost metrics, failure modes) and drive iterative improvements.
• Design and execute complex unit, integration, and automated test cases.
• Analyze and resolve test failures, propose code fixes, and contribute to automation frameworks.
• Collaborate with QA and DevOps teams to drive CI/CD pipeline enhancements.
  
  

Architecture Support

• Assist in translating high-level architecture into low-level designs.
• Develop and maintain design artifacts under the guidance of architects and staff engineers.
• Understand existing system architecture and communicate trade-offs during design sessions.
  
  

Collaboration & Execution

• Work closely with product managers, UX designers, and business stakeholders.
• Contribute to project planning and estimation for features and enhancements.
• Lead technical discussions, mentor junior engineers, and support knowledge sharing.
  
  

Required Competencies

Technical Strength

• Deep understanding of core programming concepts, system design principles, and application performance optimization
• Hands-on experience building agentic systems with LLMs (tool-use, orchestration, multi-step flows, verification/validation patterns).
• Proficient in one or more agentic-frameworks (LangChain/LangGraph, OpenAI Agents SDK, Microsoft Semantic Kernel, Microsoft AutoGen, CrewAI, etc.)
• Proficient in writing clean, efficient, and maintainable code across at least one modern full-stack; Experience using frameworks in .NET ecosystem with ReactJS is a plus
• Ability to debug complex issues and propose effective solutions with minimal guidance
  
  

Solution Ownership

• Demonstrates end-to-end ownership of features or components from design to deployment
• Proactively anticipates risks, raises concerns early, and takes accountability for resolving them
• Capable of breaking down complex problems into actionable technical work
• Review code to ensure correct functionality, potential holistic solutions, identify unexpected side effects, and conforming to documented standards
  
  

Collaboration & Influence

• Communicates technical ideas clearly across teams and stakeholders
• Builds strong partnerships with QA, DevOps, Product, and other engineering teams
• Provides constructive feedback in code and design reviews, mentors junior engineers effectively
  
  

Execution Excellence

• Delivers high-quality, tested, and secure code consistently
• Prioritizes well and executes in alignment with sprint goals and timelines
• Manages multiple competing tasks and handles changing priorities with discipline
  
  

Continuous Improvement

• Actively contributes to improving team processes, standards, and tooling
• Stays updated on new technologies and applies relevant practices where appropriate
• Seeks feedback and adapts to strengthen performance and technical acumen
  
  

What You Bring

• 6–9 years of software engineering experience, with a strong track record of building production-grade systems
• Demonstrated experience shipping AI/LLM-powered features (agents/agentic-frameworks, RAG, tool-calling, workflow automation) into real user workflows.
• Proficiency in at least one modern full-stack, data-stores (SQL/NoSQL), Redis, Containerization, Kubernetes, Azure Cloud-Native Services
• Strong understanding of data structures, design patterns, and system integration techniques
• Hands-on experience with CI/CD, containers (Docker), and cloud services (AWS/Azure)
• Demonstrated ability to design, test, and debug complex systems in a collaborative setting
• Attention to details and ability to work with a large code-base
• A proactive mindset with the ability to work independently and manage competing priorities
• Excellent written and verbal communication skills; able to document and present technical concepts clearly
• Awareness when progress has stalled and a willingness to ask for help or confirmation.
  
  

Why Join Us?

You’ll be part of a company where innovation meets real-world impact. We’re building something meaningful, and we want your expertise to help shape the future of our platform. Expect a collaborative environment, intelligent peers, and the opportunity to make technical and business decisions that matter.