Job Title: Senior Prompt Engineer
Location: Bangalore (On-site)
Job Type: Full-time
About Us:
At Nurix AI, we envision a world powered by super-intelligent AI agents that transform how businesses engage with customers. Our cutting-edge AI agents do more than just solve problems, they create opportunities. From suggesting next purchases to boosting revenue while maintaining customer satisfaction, to analyzing vast datasets for actionable insights, our technologies shape your business and product strategies. By resolving queries with precision and delivering highly personalized interactions, we redefine the customer experience and drive measurable impact.
Nurix.ai is at the forefront of AI innovation, developing cutting-edge AI and LLM solutions to enhance productivity and automation. Backed by $27.5M in seed funding, we are building next-gen AI-driven applications that redefine human-machine collaboration. We are looking for a Technical Lead to spearhead our AI engineering efforts and drive product innovation.
We are pioneering the AI revolution as India’s first scaled AI services company. We deliver cutting-edge AI and LLM solutions tailored for the dynamic needs of the modern world. Backed by robust funding we are a vibrant, young team set on redefining technological boundaries. Join us in shaping the future.
Join us in building the future, where every interaction is smarter, faster and more impactful.
The Opportunity
As a Senior Prompt Engineer at Nurix, you'll lead how our AI agents think, respond, and evolve. This is a hands-on, cross-functional role that merges system-level prompt architecture, evaluation design, context engineering, and conversation flow optimization. You’ll work closely with Machine Learning, Engineering, and Product teams to design experiences that are robust, measurable, and deeply human.
Your Impact
You’ll be the key architect of Nurix’s prompting systems—from designing scalable prompt templates and retrieval interfaces to ensuring every conversation is aligned with client goals and user intent. You’ll set standards, build evaluation frameworks, and continuously refine how our models learn and interact.
Key Responsibilities
Prompt System & Context Engineering
- Design modular system/developer/user prompt architectures that scale across use cases.
- Build and manage context pipelines (RAG) that ensure relevant, high-quality knowledge injection.
Evaluations, Safety & Quality
- Develop evaluation suites to measure prompt quality, safety, and performance.
- Implement launch-blocking tests and red-teaming workflows to ensure robustness.
Conversation Flow Design
- Design intuitive, goal-oriented conversation flows tailored to each client’s needs.
- Engage directly with clients to understand their requirements and propose optimized conversation flow designs.
- Optimize flows through iterative A/B testing, leveraging data to improve clarity, efficiency, and tone.
- Ensure conversations balance user satisfaction with business objectives.
Collaboration, Mentorship & Enablement
- Partner with Product, ML engineers, and software engineers to integrate prompting into production systems.
- Collaborate closely with client teams to translate requirements into effective prompt and flow strategies.
- Mentor and support junior prompt engineers, helping them unblock challenges and grow their skills.
- Contribute to internal knowledge bases and share insights through documentation or public writing.
You’ll Thrive Here If You Have
- 4+ years of experience in product, machine learning, or a related field.
- 1+ year of hands-on prompting experience with LLMs in production environments.
- Strong understanding of how large language models function and how to guide them effectively.
- Experience with retrieval-augmented generation (RAG) and context engineering.
- Proven experience designing and running large-scale A/B experiments.
- A passion for research, continuous learning, and sharing knowledge through writing.
Why Nurix
You’ll join a team that treats prompting as both science and craft—balancing rigor with creativity. We’re small enough for you to shape core systems, yet ambitious enough to tackle frontier challenges in conversational AI. If you want to define how intelligent agents think and communicate, this is your opportunity.
