17 Sep
|
Quest Global
|
Bengaluru
17 Sep
Quest Global
Bengaluru
Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future.
We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Experience
- 8+ years in Software Engineering
- Minimum 2+ years hands-on experience in Generative AI / LLM implementation
Position Overview We are seeking a highly experienced AI Lead Engineer to lead an enterprise-wide AI-Enabled Software Development Lifecycle (SDLC) pilot initiative. The role will focus on evaluating, implementing, and optimizing AI-powered development tools and autonomous coding agents across the software engineering lifecycle.
The candidate will partner with development teams to establish scalable AI-enabled SDLC practices that improve developer productivity, software quality, testing effectiveness, documentation quality, and overall engineering efficiency.
Key Objectives
- Establish an enterprise AI-enabled SDLC framework.
- Evaluate AI coding assistants and autonomous agents.
- Define governance, security, and risk management practices.
- Measure productivity, quality, and cost improvement opportunities.
- Create reusable implementation blueprints.
- Drive developer adoption and AI enablement initiatives.
- Build standards and best practices for AI-assisted engineering.
AI Tool Evaluation & Adoption Experience evaluating and implementing solutions such as:
- Cline
- OpenCode
- SpecKit
- MCP-enabled Agent Tools
- Autonomous Coding Agents
Evaluation Criteria
- Productivity Improvement
- Code Quality
- Security
- Maintainability
- Cost Efficiency
- Developer Experience
- Adoption Readiness
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard. We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future.
We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Experience
- 8+ years in Software Engineering
- Minimum 2+ years hands-on experience in Generative AI / LLM implementation
Position Overview We are seeking a highly experienced AI Lead Engineer to lead an enterprise-wide AI-Enabled Software Development Lifecycle (SDLC) pilot initiative.
The role will focus on evaluating, implementing, and optimizing AI-powered development tools and autonomous coding agents across the software engineering lifecycle.
The candidate will partner with development teams to establish scalable AI-enabled SDLC practices that improve developer productivity, software quality, testing effectiveness, documentation quality, and overall engineering efficiency.
Key Objectives
- Establish an enterprise AI-enabled SDLC framework.
- Evaluate AI coding assistants and autonomous agents.
- Define governance, security, and risk management practices.
- Measure productivity, quality, and cost improvement opportunities.
- Create reusable implementation blueprints.
- Drive developer adoption and AI enablement initiatives.
- Build standards and best practices for AI-assisted engineering.
AI Tool Evaluation & Adoption Experience evaluating and implementing solutions such as:
- Cline
- OpenCode
- SpecKit
- MCP-enabled Agent Tools
- Autonomous Coding Agents
Evaluation Criteria
- Productivity Improvement
- Code Quality
- Security
- Maintainability
- Cost Efficiency
- Developer Experience
- Adoption Readiness
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard. We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
📌 AI Lead Engineer (Bengaluru)
🏢 Quest Global
📍 Bengaluru