Senior Ai Engineer

Company Description Quantanite is a customer experience CX solutions company that helpsfast-growing companies and leading global brandsto transformand grow We do thisthrough a collaborative and consultative approach rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients backed-upwithexceptionalresults We havebig dreams and are constantly looking for new colleaguesto join us who share our values passion and appreciationfordiversity About the Role We are seeking a highly skilled Senior AI Engineer with deep expertise in Agentic frameworks Large Language Models LLMs Retrieval-Augmented Generation RAG systems MLOps LLMOps and end-to-end GenAI application development In this role you will design develop fine-tune deploy and optimize state-of-the-art AI solutions across diverse enterprise use cases including AI Copilots Summarization Enterprise Search and Intelligent Tool Orchestration Key Responsibilities Develop and Fine-Tune LLMs e g GPT-4 Claude LLaMA Mistral Gemini using instruction tuning prompt engineering chain-of-thought prompting and fine-tuning techniques Build RAG Pipelines Implement Retrieval-Augmented Generation solutions leveraging embeddings chunking strategies and vector databases like FAISS Pinecone Weaviate and Qdrant Implement and Orchestrate Agents Utilize frameworks like MCP OpenAI Agent SDK LangChain LlamaIndex Haystack and DSPy to build dynamic multi-agent systems and serverless GenAI applications Deploy Models at Scale Manage model deployment using HuggingFace Azure Web Apps vLLM and Ollama including handling local models with GGUF LoRA QLoRA PEFT and Quantization methods Integrate APIs Seamlessly integrate with APIs from OpenAI Anthropic Cohere Azure and other GenAI providers Ensure Security and Compliance Implement guardrails perform PII redaction ensure secure deployments and monitor model performance using advanced observability tools Optimize and Monitor Lead LLMOps practices focusing on performance monitoring cost optimization and model evaluation Work with AWS Services Hands-on usage of AWS Bedrock SageMaker S3 Lambda API Gateway IAM CloudWatch and serverless computing to deploy and manage scalable AI solutions Contribute to Use Cases Develop AI-driven solutions like AI copilots enterprise search engines summarizers and intelligent function-calling systems Cross-functional Collaboration Work closely with product data and DevOps teams to deliver scalable and secure AI products Qualifications Required Skills and Experience 3-5 years of experience in AI ML roles focusing on LLM agent development data science workflows and system deployment Demonstrated experience in designing domain-specific AI systems and integrating structured unstructured data into AI models Proficiency in designing scalable solutions using LangChain and vector databases Deep knowledge of LLMs and foundational models GPT-4 Claude Mistral LLaMA Gemini Strong expertise in Prompt Engineering Chain-of-Thought reasoning and Fine-Tuning methods Proven experience building RAG pipelines and working with modern vector stores FAISS Pinecone Weaviate Qdrant Hands-on proficiency in LangChain LlamaIndex Haystack and DSPy frameworks Model deployment skills using HuggingFace vLLM Ollama and handling LoRA QLoRA PEFT GGUF models Practical experience with AWS serverless services Lambda S3 API Gateway IAM CloudWatch Strong coding ability in Python or similar programming languages Experience with MLOps LLMOps for monitoring evaluation and cost management Familiarity with security standards guardrails PII protection secure API interactions Use Case Delivery Experience Proven record of delivering AI Copilots Summarization engines or Enterprise GenAI applications Additional Information Preferred Skills Experience in BPO or IT Outsourcing environments Knowledge of workforce management tools and CRM integrations Hands-on experience with AI technologies and their applications in data analytics Familiarity with Agile Scrum methodologies Soft Skills Strong analytical and problem-solving capabilities Excellent communication and stakeholder management skills Ability to thrive in a fast-paced dynamic environment