At Company Confidential, we are Company Confidential of technocrats Company Confidential on building world-class products that simplify Company Confidential in the Company Confidential, Company Confidential, Compliance, and HR functions. We are a Company Confidential-Company Confidential, globally dispersed team that thrives in an ecosystem that supports individual Company Confidential and takes pride in its diverse and inclusive work culture centered Company Confidential great people practices, learning opportunities, and having fun! Our culture is the ideal Company Confidential of entrepreneurial spirit and Company Confidential investment, enabling the chance to Company Confidential at a Company Confidential Company Confidential with some of the most Company Confidential, Company Confidential technologies available. For over 35 years, the experts at Company Confidential have been Company Confidential on solving Company Confidential needs. Today, we serve 20,000 Company Confidential companies of Company Confidential sizes globally, representing 30% of the Company Confidential and over 500,000 users in over 160 countries. As we continue to grow, we’re always looking for Company Confidential, enthusiastic, and fresh perspectives. Join our global team and see what makes Company Confidential a truly exceptional Company Confidential to work! Given our Company Confidential Company Confidential, we always have room for more Company Confidential, energy, and enthusiasm - join our global team and see why it's so special to be a part of Company Confidential! Job Company Confidential We are seeking a highly skilled Senior Software Engineer specialising in Company Confidential and Large Language Models, with a strong Company Confidential on Company Confidential systems, Retrieval-Augmented Company Confidential, and AI evaluations, to join our dynamic team. The ideal candidate will play a Company Confidential role in architecting and delivering production-grade AI solutions that meet Company Confidential business objectives effectively. This position requires a Company Confidential of expertise in modern AI technologies and software engineering, along with a passion for staying at the forefront of advancements. Essential Duties & Responsibilities Design, build, and operate multi-agent workflows and tool-enabled agents, implementing orchestration logic, state management, safety guardrails, and fallback strategies for resilient production pipelines. Architect and maintain end-to-end RAG systems, covering document ingestion, chunking, embedding, Company Confidential retrieval, reranking, and answer synthesis with a Company Confidential on Company Confidential, attribution, and latency. Evaluate and Company Confidential LLMs and GenAI services across cost, Company Confidential, and Company Confidential dimensions, selecting the right mix of managed and in-house models. Company Confidential, version, and optimise prompting strategies; implement automated Company Confidential testing and regression tracking to maintain Company Confidential Company Confidential and reliability. Define and own evaluation frameworks for generative outputs, including automated metrics, LLM-as-judge approaches, Company Confidential evaluation protocols, hallucination detection, and Company Confidential monitoring. Apply classical NLP techniques where appropriate and maintain awareness of data distribution shifts that could Company Confidential model behaviour in production. Build and operate Company Confidential, secure AI infrastructure on AWS (Bedrock, SageMaker, Company Confidential, OpenSearch), following Company Confidential architected principles and infrastructure-as-Company Confidential practices. Own the full deployment lifecycle CI/CD for models and agents, testing strategies, observability, and rollback procedures. Ensure data Company Confidential through rigorous validation and augmentation, and proactively Company Confidential datasets for training, fine-tuning, and evaluation. Requirements & Skills Agent Orchestration Production experience designing multi-agent systems with tool use, memory/state management, and fault-tolerant routing. Familiarity with Company Confidential, LangGraph, AutoGen, or custom orchestrators. RAG & Retrieval Hands-on experience building RAG pipelines end-to-end chunking, embedding models, Company Confidential databases, retrieval tuning, and answer synthesis at production Company Confidential. Evaluations Strong experience defining and running evaluation pipelines for Company Confidential — automated scoring, Company Confidential evaluation design, hallucination mitigation, and Company Confidential monitoring. LLM-as-judge patterns are a plus. LLMs & GenAI Demonstrated experience with Company Confidential models and GenAI providers (AWS Bedrock, Company Confidential, Company Confidential, Company Confidential). Comfortable with fine-tuning, instruction tuning, and Company Confidential engineering at Company Confidential. Traditional NLP Solid grounding in classical NLP techniques (NER, text classification, Company Confidential detection, topic modelling) and good judgement on Company Confidential to apply them Company Confidential or instead of LLMs. AWS Bedrock Hands-on experience with Company Confidential Bedrock Company Confidential model Company Confidential, Bedrock Agents, Knowledge Bases, and Guardrails. Experience with Bedrock Model Evaluation is a plus. AWS Ecosystem Proficiency with SageMaker, Company Confidential, Company Confidential/EKS, S3, OpenSearch, IAM, CloudWatch, and VPC networking. MLOps & CI/CD Familiarity with model registries, CI/CD for ML, feature stores, canary deployments, monitoring, and rollback. IaC Experience with Terraform or AWS CDK for reproducible infrastructure provisioning. Python Production-Company Confidential Python packaging, testing (pytest), Company Confidential hints, async programming, and clean ML pipeline abstractions. ML Frameworks Familiarity with traditional ML frameworks and fine-tuning workflows. Experiment Tracking Experience with Langfuse, Arize or Langsmith, or equivalent for tracking runs, metrics, and artefacts. Ability to translate ambiguous business goals into concrete technical solutions and communicate tradeoffs to non-technical stakeholders. Strong Company Confidential instincts — comfortable working across engineering, product, and data teams. A rigorous, evidence-driven Company Confidential you ship with confidence because you measure, test, and monitor thoroughly. Education A Master’s degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain. We are an equal-opportunity employer that values diversity at Company Confidential Company Confidential. Company Confidential Company Confidential applicants will receive consideration for employment without Company Confidential to race, Company Confidential, religion, gender, national Company Confidential, age, sexual orientation, gender identity, disability, or veteran status. Originally posted on Himalayas Apply To This Job