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Lead AIML Engineer R
Job Location:
Monthly Salary:
Posted:
8 August 2026 (21 hours ago)
Posted:
Application Deadline:
5 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Lead AI/ML Engineer
Primary Skills
- Dialogue Design Syntax and semantic analysis Reinforcement learning Text Classification Governance for Conversational AI RASA Natural Language Understanding (NLU) Python GDF (Google Dialog Flow) Experience Cms Connect IBM Watson Automatic Speech Recognition (ASR) Dialogue Management (NLG) Spark NLP Recurrent Neural Networks Conv AI Testing
Specialization
- Conversational AI: Lead AI/ML Engineer
Job requirements
- Experience Range: 4 to 6 years of experience including hands-on work in conversational AI and at least 2 years specifically in content management systems within media or content-driven environments Key Responsibilities: 1. Partner directly with product owners and content operations leads to shape ambiguous business ideas into scoped testable AI requirements for content and media workflows 2. Rapidly prototype and deliver working proofs-of-concept for content use cases such as drafting summarization rewriting taxonomy mapping translation and moderation demonstrating solutions to stakeholders within days 3. Design and implement production architectures for LLM and agentic applications including retrieval strategies orchestration topologies context and memory design and human-in-the-loop checkpoints 4. Build and operate multi-agent systems using orchestration frameworks (e.g. LangGraph CrewAI) ensuring robust tool/function calling state management and recovery from partial failures 5. Establish and enforce trust layers by implementing guardrails input/output validation PII/IP protection and adversarial testing for secure and compliant AI deployments 6. Deploy and manage AI solutions on cloud platforms (Azure AWS GCP) with CI/CD containerization autoscaling secrets management and cost governance for token- and GPU-intensive workloads 7. Define and monitor quality metrics for content outputs build evaluation datasets and harnesses and instrument tracing latency and spend telemetry 8. Document architectural decisions write runbooks and upskill engineering teams to ensure system sustainability and knowledge transfer Required Skills: 1. Practical expertise with commercial LLMs (e.g. GPT Claude Gemini) and open-weight/small models (e.g. Llama Mistral Phi Gemma) 2. Hands-on experience with content management systems (CMS) and integrating AI agents for content workflows 3. Strong proficiency in prompt engineering few-shot design retrieval augmented generation (RAG) and parameter-efficient fine-tuning (LoRA QLoRA PEFT) 4. Experience deploying SLMs via vLLM Ollama Triton or managed equivalents 5. Advanced skills in vector store integration (Azure AI Search OpenSearch Pinecone Weaviate pgvector) 6. Programming expertise in Python for AI/ML development 7. Experience with containerization and CI/CD pipelines for cloud deployment (Azure AWS GCP) 8. Familiarity with orchestration frameworks for multi-agent systems (LangGraph CrewAI) Preferred Skills: 1. Experience with adversarial testing and implementing security guardrails for AI systems 2. Knowledge of content enrichment metadata management and editorial workflow automation 3. Familiarity with evaluation harnesses and regression testing for prompt/model changes 4. Experience with asset localization search and discovery personalization and content moderation in media environments Desired Qualifications: 1. Bachelors degree in Computer Science Information Technology Artificial Intelligence or a closely related field relevant to content/media AI 2. Certification in Conversational AI or NLP technologies (e.g. RASA Certified Developer IBM Watson AI Certification) 3. Certification in cloud platforms (e.g. AWS Certified Machine Learning Specialty Azure AI Engineer Associate Google Professional Machine Learning Engineer)
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
