AI Lead Engineer

Hi,

We are looking for AI Lead Engineer

Position Summary We are seeking an experienced and visionary AI Lead Engineer to spearhead the design, development, and scaling of an enterprise-grade, automated FAQ Generation Platform powered by Generative AI. This role will be pivotal in architecting intelligent systems that ingest structured/unstructured content and dynamically generate, validate, and optimize FAQs across domains such as travel, accommodation, policy, and support services.

The ideal candidate brings deep expertise in LLM operations (LLMOps), retrievalaugmented generation (RAG), prompt engineering, and multi-modal pipeline orchestration, and can lead cross-functional teams from PoC to production

Key Responsibilities

• Lead the technical design and architecture of a scalable application using AWS Bedrock, OpenSearch, and DynamoDB.

• Drive LLM integration (e.g., Claude, Titan, or third-party models) to enable contextual, accurate, and diverse application development

• Develop and optimize semantic search and vector-based retrieval pipelines, supporting real-time and batch generation workflows.

• Design and maintain feedback loops for continuous model and content improvement, integrating business and user feedback.

• Collaborate closely with UX/UI teams, data engineers, and business SMEs to ensure that the application is aligned with domain needs.

• Implement automated data ingestion, preprocessing, and metadata tagging from diverse content sources (PDFs, CMS, knowledge bases).

• Define and uphold AI ethics, bias mitigation, and compliance standards in line with enterprise and regulatory frameworks (e.g., EU AI Act).

• Provide technical mentorship to AI developers and guide sprint-level deliverables using Agile practices

Qualifications

• Bachelors or Masters in Computer Science, AI/ML, Data Science, or a related discipline.

• 5+ years of experience in AI/ML engineering, with 3-4 years in Generative AI or NLP-led product delivery.

• Proven experience with LLMs, Bedrock, LangChain, OpenSearch, and Vector Databases (e.g., Pinecone, FAISS).

• Strong hands-on skills with Python, AWS Lambda, DynamoDB, and orchestration tools (Airflow, Step Functions).

• Deep understanding of prompt engineering, RAG pipelines, embeddings, and content chunking strategies.

• Experience in security and compliance alignment (PII detection, encryption, audit trails) for AI systems.

What We Offer

• A pioneering opportunity to lead the next-gen AI product shaping intelligent customer experience.

• A collaborative environment with cross-functional tech and domain teams.

• Access to enterprise AI tooling and LLM platforms (Anthropic, AWS, OpenAI).

• Competitive compensation, benefits, and career growth in AI leadership.

Good to Have

• Exposure to multi-lingual NLP, enterprise search, or knowledge graph integration.

• Familiarity with MLOps/LLMOps practices, CI/CD for ML pipelines, and model performance monitoring.

• Experience in leading enterprise GenAI use cases such as document QA, virtual assistants, or intelligent search.

• GitHub/portfolio (if any)

• Brief note on your experience with GenAI-powered systems