About the role
We are looking for a seasoned Engineering Leader with 18+ years of experience who has been actively building and scaling GenAI products over the last 2+ years, with deep expertise in Agentic AI and orchestration frameworks.
Responsibilities:
- Lead end-to-end architecture and delivery of GenAI-powered products (LLMs, RAG, and Agentic workflows).
- Design and scale multi-agent systems, orchestration layers, and autonomous decisioning pipelines.
- Drive engineering excellence across distributed systems, microservices, and cloud-native architectures.
- Collaborate with product and business teams to build B2C/D2C AI-driven experiences.
- Mentor high-performing teams and define long-term AI engineering strategy and roadmap.
Requirements:
- Strong ownership mindset with the ability to operate at both strategy and hands-on levels.
- Passion for emerging AI paradigms like autonomous agents and AI orchestration.
- Excellent leadership, stakeholder management, and execution skills.
Must-Have Skills:
- Hands-on experience with LLMs, RAG pipelines, prompt engineering, and vector databases.
- Strong expertise in Agentic AI frameworks and orchestration tools (LangChain, CrewAI, AutoGen, etc. ).
- Solid background in scalable backend systems (Java/Python/Golang).
- Experience with cloud platforms (AWS/GCP/Azure) and real-time systems.
- Proven track record of building and scaling AI products in production.
Good to Have:
- Experience in voice AI / conversational AI systems.
- Exposure to fine-tuning models, evaluation frameworks, and AI observability.
- Prior experience in high-scale B2C/D2C platforms.