Senior Full Stack Engineer

V2 Solutions; Hyderabad; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

V2 Solutions is seeking a Senior Engineer to drive design, development, and delivery of AI-driven software systems. You will own complex components, lead feature implementation, and promote engineering best practices within your squad.

Collaborate with cross-functional teams, contribute to architecture, and ensure AI solutions meet user needs, safety expectations, and performance constraints. This role requires hands-on engineering, ownership, and the ability to work independently or with a team.

Qualifications

• Experience delivering AI/LLM powered features into real user workflows.
• Strong background in full-stack development and modern APIs.
• Hands-on experience with Azure cloud services and containerization.
• Familiarity with CI/CD pipelines and automated testing practices.
• Ability to design and document functional/technical specs.
• Comfortable working across backend, frontend and middleware layers.

Responsibilities

• Software Design and Development: translate needs into production-ready full-stack components.
• Applications Integration & Middleware: integrate enterprise services via APIs and middleware.
• Cloud, DevOps & Configuration: deploy in Azure and manage IaC practices.
• Testing & Automation: define evaluation strategies and drive CI/CD improvements.
• Architecture Support: assist in translating high-level architecture into designs.
• Collaboration & Execution: work with PMs, UX, and stakeholders; mentor juniors.

Skills

AI/LLM features

Full-stack development

Azure Cloud

CI/CD

APIs and integration

Documentation

Job description

Job Summary: 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. Youll 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.

What You Bring

• 69 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.