Job Responsibilities

• Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.

• Design and deploy high-performance, low-latency distributed systems that scale globally.

• Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.

• Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.

• Build evaluation, safety, and guardrail frameworks for responsible AI.

• Collaborate closely with research, platform, and product teams to integrate innovative AI into customer-facing solutions.

• Mentor engineers, drive technical excellence, and foster a culture of continuous learning.

• (Bonus) Contribute to or lead open-source initiatives in the LLM or agent ecosystem.

What you will need to succeed

• 6+ years of experience designing and developing large-scale, data-intensive distributed systems.

• 2+ years in technical leadership roles, driving architecture and mentoring teams.

• Expertise in vector databases (Pinecone, Weaviate, Milvus) and agent frameworks (LangChain, LlamaIndex, AutoGen, Haystack Agents, Semantic Kernel).

• Hands-on experience with public cloud platforms (Azure, AWS, or GCP).

• Strong background in relational databases (PostgreSQL, MySQL).

• Proficiency in Java, Scala, or Python, and a deep understanding of algorithms and data structures.

• A strong sense of ownership and cost-conscious design for compute and memory efficiency.

• Excellent communication skills and the ability to collaborate effectively with multi-functional teams.

• Bachelor’s, Master’s, or PhD in Computer Science or a related technical field with equivalent experience.