Full-Time

Full Stack Senior Engineer

Updated on 5/12/2026

Tax.com

Tax.com

No salary listed

Hyderabad, Telangana, India

In Person

Category
Software Engineering (1)
Required Skills
LLM
Kubernetes
Microsoft Azure
React.js
NoSQL
Software Testing
SQL
Infrastructure as Code (IaC)
Docker
.NET
AWS
LangGraph
Redis
REST APIs
LangChain
DevOps
Requirements
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
Responsibilities
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

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