Forward Deployed Engineer
Multiple Cities, India
5 - 12 yrs
Locations
India - Trivandrum,
India - Cochin,
India - Calicut,
India - Koratty,
India - Chennai,
India - Bangalore,
India - Noida
Responsibilities
- Embed within client engineering teams and contribute directly to the design, development, deployment, and support of production-grade applications and AI-powered solutions
- Drive end-to-end software delivery, from requirements gathering and solution design to implementation, testing, deployment, and post-production support
- Operate as a senior engineering resource within client environments, ensuring high-quality and timely execution
- Leverage AI-assisted development tools such as Claude Code, Cursor, OpenAI Codex, GitHub Copilot, or equivalent platforms as an integral part of the software development lifecycle
- Develop and promote reusable prompt engineering practices, AI workflows, and productivity-enhancing development patterns
- Evaluate AI tools and provide recommendations on their effective usage, limitations, and validation requirements
- Serve as a trusted technical advisor by providing guidance on architecture, scalability, security, performance, and engineering best practices
- Translate business requirements into practical technical solutions and lead technical design discussions and architecture reviews
- Establish and uphold coding standards, quality assurance practices, and engineering excellence across engagements
- Build strong relationships with client stakeholders, including engineering leaders, product teams, and executive sponsors
- Identify opportunities to expand client engagements by uncovering additional business needs and recommending value-driven solutions
- Support technical presentations, solution discussions, and strategic conversations that contribute to account growth
- Contribute reusable frameworks, accelerators, AI workflows, prompt libraries, and best practices to QBurst’s internal knowledge repository
- Mentor team members and promote the adoption of modern engineering and AI-enabled development practices
- Stay current with emerging technologies, AI advancements, and industry trends to continuously enhance delivery capabilities
Requirements
- 5–8 years of hands-on software engineering experience delivering enterprise-grade applications in production environments
- Proven experience delivering at least two complete software development lifecycles, from solution design through deployment and ongoing support
- Demonstrated daily use of AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, Codex, or equivalent platforms in a professional setting
- Proficiency in at least two programming languages, with expertise spanning backend, frontend, or data engineering technologies
- Hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform, including deployment, configuration, monitoring, and troubleshooting
- Strong understanding of APIs, microservices architectures, CI/CD pipelines, and modern software development methodologies
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, including executive stakeholders
- Proven ability to manage client expectations, navigate critical incidents, and maintain stakeholder trust in demanding environments
- Strong consulting mindset with the ability to balance technical excellence and business outcomes
- Prior experience as a Forward Deployed Engineer, Solutions Engineer, Technical Consultant, or in a client-facing engineering role is preferred
- Experience building AI agents and workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies is desirable
- Professional certifications such as AWS Professional, Azure Solutions Architect Expert, TOGAF, or AI/ML specialty certifications are a plus
- Exposure to pre-sales activities, including solution discovery, estimation, proposal development, and technical presentations, is advantageous