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.