Role Description We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Sinhala language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Qualifications - Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail. - Prior, tangible experience working in human data evaluation or annotation. - Verified Sinhala language proficiency of C1 or C2. - The ability to confidently transform raw feedback and quality trends into structured, actionable educational resources. - A meticulous approach to language, with the sharpness to identify and correct even the most subtle unnatural phrasing in their native tongue. Requirements - Operate autonomously to provide linguistic QA and develop alignment resources. - Expected deliverables include: - Data Annotation & Review: Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. - Quality Assurance & Vetting: Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. - Resource Generation: Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. - Production & Vetting Support: Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Benefits - We offer a pay range of $6 to $65 per hour, with the exact rate determined based on your experience, expertise, and geographic location. - Final offer amounts may vary from the pay range listed above. - As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply. Engagement Type - Freelance / Independent Contractor Workplace Type - Remote

Role Description We are sourcing independent Language Alignment & Resource Partners (LARPs) to provide native-level Khmer language vetting and QA for a specialized AI data project. As AI systems strive to reflect real-world usage and deliver human-like communication, their accuracy depends entirely on rigorous linguistic and cultural consultation. The objective of this project is to evaluate, annotate, and validate data to ensure high-quality outputs that are fully natural, polished, and free from bias. Qualifications - Demonstrable work or educational experience in linguistics, education, or other fields requiring high attention to linguistic detail. - Prior, tangible experience working in human data evaluation or annotation. - Verified Khmer language proficiency of C1 or C2. - The ability to confidently transform raw feedback and quality trends into structured, actionable educational resources. - A meticulous approach to language, with the sharpness to identify and correct even the most subtle unnatural phrasing in their native tongue. Requirements - Operate autonomously to provide linguistic QA and develop alignment resources. - Reviewing, annotating, and testing AI outputs for grammatical accuracy, naturalness, and strict cultural context. - Acting as a primary quality check during production to proactively identify and correct subtle cultural errors or awkward phrasing in the target language. - Analyzing task quality trends and autonomously developing educational resources and feedback documentation to increase alignment between AI task outputs and campaign expectations. - Providing native-level language vetting during project scaling and offering specialized linguistic consultation throughout the production phase. Benefits - Pay range of $6 to $65 per hour, with the exact rate determined based on experience, expertise, and geographic location. - Final offer amounts may vary from the pay range listed above. - As a contractor, you’ll supply a secure computer and high-speed internet. - Company-sponsored benefits such as health insurance and PTO do not apply. Engagement Type - Freelance / Independent Contractor Workplace Type - Remote

Role Description As a Senior GenAI Engineer at InnovationTeam, you will be responsible for designing, developing, and deploying large-scale generative AI solutions. You will work closely with cross-functional teams to translate business and technical requirements into robust AI systems and bring them into production. This role requires deep expertise in modern AI architectures, large language models, and production-ready software engineering practices. The ideal candidate is highly motivated, detail-oriented, and capable of owning AI solutions end to end. We are seeking a skilled AI Engineer with a strong focus on Generative AI technologies to develop, optimize, and deploy AI Agents and solutions. The role involves working on real-world use cases and data analytics problems and delivering production-ready AI systems. Key Responsibilities - Design, develop, and optimize Generative AI solutions (LLMs, RAG systems, AI agents). - Fine-tune, evaluate, and deploy large language models for enterprise use cases. - Build and maintain end-to-end AI pipelines, from data ingestion to inference. - Implement Retrieval-Augmented Generation (RAG) using vector databases and knowledge stores. - Integrate GenAI solutions with existing systems via APIs and microservices. - Optimize model performance, latency, and cost on cloud platforms (OCI, AWS, Azure, or GCP). - Collaborate with product, data, and engineering teams to translate business needs into AI solutions. - Ensure AI solutions follow best practices in security, governance, and responsible AI. - Stay up to date with the latest developments in GenAI, LLMs, and AI tooling. Qualifications - Minimum 5 years of professional experience in AI / Machine Learning. - Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field. - Proficiency in programming languages such as Python, Java, and Ruby. - Strong experience with Large Language Models (LLMs) (e.g., GPT, LLaMA, Mistral, etc.). - Hands-on experience with Python and AI/ML frameworks (PyTorch, TensorFlow). - Solid understanding of NLP, deep learning, and transformer architectures. - Experience with RAG architectures, vector databases (FAISS, OpenSearch, Pinecone, etc.). - Strong software engineering skills (APIs, REST, microservices, Docker, Kubernetes). - Experience deploying AI workloads on cloud platforms (OCI preferred). - Excellent problem-solving and analytical skills. - Excellent command of English (written and spoken). Nice to Have - Experience with GPU-based training and inference. - Familiarity with MLOps / LLMOps practices. - Experience in regulated or enterprise environments. - Knowledge of AI governance, ethics, and compliance frameworks. Benefits - Opportunity to work on cutting-edge Generative AI projects. - Collaborative, innovation-driven environment. - Competitive compensation package. - Access to modern AI infrastructure and cloud resources. - Professional growth and learning opportunities.

• Design and lead cross functional customer-facing engagements to develop and deploy a modern Agentic vision of Agreement Management business processes • Design, build, and deploy AI enabled workflows and solutions that integrate Docusign AI capabilities including but not limited to, Docusign’s MCP Server and APIs, Docusign Web Forms backed by APIs to third party systems, Custom Extractions, Docusign skills in third party agentic platforms (e.g. Docusign’s integration with Open AI, Claude Cowork, Microsoft CoPilot, Harvey and Legora) and other similar customer Agentic Tech stacks to automate and optimize customer business processes • Execute deployment 'firsts' to prove out, capture, and productionize new Agentic implementation patterns, repeatable use cases and toolkits • Run technical demos, trainings, and workshops for technical and non-technical audiences • Partner directly with customer stakeholders, Docusign product, engineering, success, services and partner team members and third party system integrators to translate open-ended operational business requirements into production level AI enabled business solutions • Memorialize repeatable deployment strategies and contribute insights and learnings back to Docusign product and engineering teams • Develop robust data pipelines, containerized microservices, distributed system architectures, and system context management repositories to ensure autonomous AI tools operate accurately and reliably • Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks • Synthesize field learnings, establish repeatable configuration scripts and deployment patterns, and develop cross functional data based recommendations to establish and deliver product consulting toolkits to establish enterprise-deployable implementation guides • Partner with our Partner Enablement and larger partner organization to equip the partner ecosystem to implement well-architected solutions by contributing repeatable deployment best practices and blueprints • Evaluate human and AI-generated code critically for correctness, quality, security, performance, and compliance within isolated cloud environments