Senior Artificial Intelligence Engineer

SourcingXPress; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

SourcingXPress is looking for an experienced Senior Generative AI Engineer in Bengaluru, India, to lead the architecture and development of complex enterprise-grade Generative AI solutions. The role requires technical leadership and expertise in large language model ecosystems, alongside the ability to establish best engineering practices. Responsibilities include leading the design and deployment of Generative AI solutions and mentoring engineers. Candidates should have 7+ years of experience with Python and managing large-scale production systems.

Qualifications

• 7+ years of hands-on experience with Python.
• Strong experience with multiple Large Language Model platforms.
• Proven experience in building and managing large-scale production RAG systems.

Responsibilities

• Lead the design, development, and deployment of enterprise-scale Generative AI solutions.
• Define engineering standards and best practices for GenAI development.
• Provide technical leadership by mentoring engineers and knowledge-sharing.

Skills

Python

Large Language Model (LLM) platforms

Advanced prompt engineering

Production RAG systems

AI performance tuning

AI application security

Job description

We are seeking an experienced Senior Generative AI Engineer to lead the architecture, development, and successful delivery of complex enterprise-grade Generative AI solutions. This role requires strong technical leadership, expertise in large language model ecosystems, and the ability to establish engineering best practices while driving innovation across AI initiatives.

Key Responsibilities

• Lead the design, development, and deployment of enterprise-scale Generative AI solutions
• Define and implement engineering standards, frameworks, and best practices for GenAI application development
• Drive technical decision-making related to LLM selection, architecture design, and implementation strategies
• Build, optimize, and scale production-grade RAG (Retrieval-Augmented Generation) systems
• Provide technical leadership by mentoring engineers and facilitating knowledge‑sharing sessions
• Collaborate with stakeholders to gather requirements, assess technical feasibility, and define implementation approaches
• Ensure AI systems are designed with scalability, performance, reliability, and security in mind
• Stay updated with emerging AI trends and recommend innovative solutions and technologies

Primary Skills

• 7+ years of hands‑on experience with Python
• Strong experience working with multiple Large Language Model (LLM) platforms
• Expertise in advanced prompt engineering and orchestration techniques
• Proven experience building and managing large-scale production RAG systems
• Strong understanding of AI performance tuning and optimization
• Knowledge of AI application security best practices and governance frameworks

Secondary Skills

• Demonstrated experience leading technical teams and AI initiatives
• Strong vendor evaluation and technology assessment capabilities
• Excellent stakeholder management and communication skills
• Innovation‑driven mindset with a passion for emerging technologies
• Strong technical documentation and writing skills

Preferred Candidate Profile

• 6–8 years of relevant experience
• Ability to lead technical discussions and influence architectural decisions
• Strong analytical and problem‑solving capabilities
• Experience delivering AI solutions in enterprise environments
• Passion for mentoring teams and driving engineering excellence