Senior Ai Engineer

Company Description Quantanite is a business process outsourcing BPO and customer experience CX solutions company that helps fast-growing companies and leading global brands to transform and grow We do this through a collaborative and consultative approach rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence We re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients backed up with exceptional results We have big dreams and are constantly looking for new colleagues to join us who share our values passion and appreciation for diversity 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 5 years of experience in AI ML roles focusing on LLM agent development data science workflows and system deployment A Bachelor s degree in Computer Science Software Engineering or a related field 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 Benefits At Quantanite we ask a lot of our associates which is why we give so much in return In addition to your compensation our perks include Dress Wear anything you like to the office We want you to feel as comfortable as when working from home Employee Engagement Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements Professional development We love giving back and ensure you have opportunities to grow with us and even travel on occasion Events Regular team and organisation-wide get-togethers and events Value orientation Everything we do at Quantanite is informed by our Purpose and Values We Build Better Together Future development At Quantanite you ll have a personal development plan to help you improve in the areas you re looking to develop over the coming years Your manager will dedicate time and resources to supporting you in getting you to the next level You ll also have the opportunity to progress internally As a fast-growing organization our teams are growing and you ll have the chance to take on more responsibility over time So if you re looking for a career full of purpose and potential we d love to hear from you