Experience:

• Overall Experience: 7–12 Years
• 1+ years of hands-on experience in LLMs and Generative AI techniques
• Ability to work independently while collaborating effectively across teams

Responsibilities:

• Design and develop GenAI/LLM-based systems using Langchain and RAG pipelines
• 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 align AI models with real-world use cases
• Contribute to architecture discussions, code reviews, and performance optimization

Additional responsibilities:

• Contribute to roadmap development
• Support end-to-end deployment of AI solutions
• Work on scalable deployment patterns for AI models
• Participate in client-facing projects and cross-functional AI teams

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, Retrieval-Augmented Generation (RAG), agent-based frameworks, prompt tuning, cloud platforms

Other:

• Full Time
• Location: India
• Hands-on engineering focus
• Excellent communication and stakeholder management skills
• Background in machine learning or software engineering with a focus on system-level thinking