Software Engineer III – Artificial Intelligence
Bengaluru, Karnataka, India
Full Time
3 weeks ago
No Sponsorship
Key skills
AIGenAILLMRAGAgenticMLflowGitCI/CDMentoringCommunicationCollaboration
About this role
Role Overview
- Build and deploy scalable LLM, RAG, and agent-based systems
- Architect LLM inference and deployment pipelines
- Optimize models for efficient and cost-effective production
- Collaborate with data science, research, and product teams
- Ensure clean code, testing, reproducibility, and CI/CD
- Mentor junior engineers and drive engineering best practices
- Ensure ethical, secure, and responsible AI development
Requirements
- Requires a BA/BS degree in Information Technology, Computer Science or related field of study.
- Strong problem-solving and analytical skills, with the ability to translate complex AI concepts into scalable engineering solutions.
- Ability to rapidly prototype and iterate on GenAI and LLM-based applications, balancing innovation with performance and reliability.
- Effective collaboration across cross-functional teams, including data scientists, researchers, and product stakeholders, to deliver impactful AI solutions.
- Clear and concise communication skills, capable of presenting technical ideas to both technical and non-technical audiences.
- Commitment to engineering excellence, including writing clean, maintainable code, conducting thorough code reviews, and following best practices in software development.
- Proactive learning mindset, staying current with emerging trends in AI, GenAI, and agentic systems, and applying them to real-world problems.
- Experience in mentoring and knowledge sharing, supporting junior engineers and contributing to team growth and capability building.
- Ownership and accountability in delivering high-quality solutions under tight deadlines and evolving requirements.
- Focus on reproducibility and reliability, using tools like Git, MLflow, and CI/CD pipelines to ensure consistent experimentation and deployment.
- Ethical and responsible AI development, with awareness of safety, fairness, and privacy considerations in model design and deployment.
Benefits
- Competitive health and medical insurance coverage
- Extensive focus on learning and development
- Comprehensive range of rewards and recognitions
- Best-in-class amenities and workspaces
- Policies designed with associates at the center.