Experience:

• 7–12 Years of overall experience
• 1+ years of hands-on experience in LLMs and Generative AI techniques

Qualification:

• Background in machine learning or software engineering with a focus on system-level thinking

Responsibilities:

• Design and develop GenAI/LLM-based systems
• Implement prompt engineering techniques and agent-based frameworks
• Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives
• Translate business needs into scalable, production-ready AI solutions
• Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases
• Contribute to architecture discussions, code reviews, and performance optimization

Nice to have:

• Experience contributing to ML/AI product pipelines or end-to-end deployments
• Familiarity with MLOps and scalable deployment patterns for AI models
• Prior exposure to client-facing projects or cross-functional AI teams

More skills:

Artificial Intelligence, LLM internals, prompt tuning, cloud platforms like AWS, Azure, or GCP

Other:

• Ability to work independently while collaborating effectively across teams
• Excellent communication and stakeholder management skills