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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** C.L.M., INC. - **Location:** New York, NY, United States (Remote available) - **Salary:** $156,000.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Collaborative Software, Computer Programming, Data Governance, Software Debugging, Computer Data Storage, Github, Information Retrieval, Python (Programming Language), PostgreSQL, Machine Learning, Language Modeling, Software Product Management, Regression Testing, OpenAI, Software Safety, Search Technologies, Software Engineering, Systems Integration, Speech Recognition, Web Applications, Workflow Management Systems, Jupyter Notebook, Data Logging, Data Processing, Google Cloud, Chatbots, Pytorch, LangChain, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Prompt Engineering, IT Architecture, Model Validation, Llamaindex, Generative AI, Backend, Git, Containerization, AI Platforms, Low Latency, HuggingFace, Machine Learning Operations, Speech Synthesis, Virtual Agents, Api Design, Intelligent Document Processing, Software Version Control, Software Usability, Api Management - **Published:** October 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0218b145a5699074 ## About the Role * Professional experience in AI engineering, machine learning engineering, applied AI or a closely related technical field. * Strong proficiency in Python and experience developing AI-enabled applications or services. * Practical experience integrating large language models and commercial AI APIs into applications. * Understanding of prompt engineering, structured outputs, context windows and model evaluation. * Experience working with APIs, backend services and data-processing pipelines. * Familiarity with machine learning fundamentals, model evaluation and the limitations of generative AI. * Experience with Git, version control, debugging and collaborative software development. * Understanding of data privacy, secure API integration and responsible AI development. * Ability to assess unfamiliar technologies, conduct technical experiments and make evidence-based recommendations. * Strong analytical, problem-solving and communication skills. * Ability to work independently in a remote-first, early-stage environment. * Demonstrable AI projects, production implementations, research, technical portfolio or equivalent evidence of practical capability. Candidates should be able to demonstrate not only an understanding of AI concepts but also the ability to implement, test and improve working AI solutions. 5. Desirable Skills & Experience * Experience building LLM-powered applications, AI assistants or conversational products. * Familiarity with RAG, vector databases, embeddings and semantic search. * Experience with AI agent frameworks, tool calling and workflow orchestration. * Knowledge of frameworks and libraries such as PyTorch, Hugging Face, LangChain or LlamaIndex, where relevant. * Experience with speech-to-text, text-to-speech, voice cloning with appropriate consent, or real-time voice interaction. * Familiarity with digital avatars, generative video, computer vision or multimodal AI. * Experience integrating services such as ElevenLabs or comparable voice and speech platforms. * Experience with AI model evaluation, observability, tracing and production monitoring. * Familiarity with cloud-based AI deployments, containerisation and scalable inference infrastructure. * Experience optimising model usage, token consumption, inference latency and API expenditure. * Knowledge of content moderation, AI safety and privacy-conscious system design. * Previous experience in a startup, scale-up, consumer technology, entertainment, media or creator economy business. * Experience translating early-stage AI prototypes into dependable product features. Programming & AI Development * Python. * Relevant AI and machine learning libraries. * Jupyter notebooks and suitable experimentation tools. * GitHub and collaborative development workflows. Generative AI & Language Models * OpenAI APIs and other suitable LLM providers. * Prompt engineering, structured outputs and tool calling. * RAG, embeddings and vector search where required. * Model evaluation and AI workflow orchestration., You should enjoy experimenting with new technologies, evaluating what works, challenging assumptions constructively and turning promising ideas into practical applications. We value engineers who can distinguish between impressive demonstrations and reliable product capabilities. You should understand that successful AI engineering involves not only selecting models, but also testing outputs, managing costs, designing safeguards and integrating solutions into usable software. Experience in a large technology company is not essential. Demonstrable ability, sound technical judgement, initiative and a willingness to take ownership are more important than an impressive job title. Experience in creator technology, voice AI, digital personalities or generative media would be particularly valuable, but a strong applied AI foundation and the ability to learn quickly are essential. ## Description We are seeking an ambitious, technically strong and entrepreneurial Artificial Intelligence Engineer to join CLM AI as an early member of our founding technology team, working remotely from New York City. This is an opportunity to help shape the AI capabilities of an emerging media and technology platform as it develops from its existing MVP towards a planned commercial launch in 2027. Working directly with the Founder & CEO and collaborating with the founding software engineering team, the successful candidate will help design, develop and integrate AI-powered features across the CLM AI ecosystem. A key area of focus will be the development of intelligent digital personalities and creator experiences, including conversational AI, AI-assisted content creation, voice technologies and integrations with third-party generative AI services. The role will involve evaluating AI models and frameworks, building prototypes, developing reliable AI pipelines and translating promising technologies into practical product features. We are looking for someone who combines strong machine learning and AI engineering fundamentals with product thinking, commercial awareness and a genuine interest in the future of generative AI. As an early technical hire, you will have the opportunity to influence CLM AI's AI architecture, technical standards and product roadmap from the outset. 3. Key ResponsibilitiesAI Engineering & Product Development * Design, develop and integrate AI capabilities into CLM AI's web applications and digital experiences. * Translate product concepts and business objectives into practical AI engineering solutions. * Research, evaluate and implement suitable AI models, frameworks, APIs and supporting technologies. * Develop prototypes and proof-of-concept implementations to assess technical feasibility and commercial value. * Improve the reliability, performance and usability of existing AI-enabled product features. * Work with the Founder & CEO and Software Engineer to prioritise and deliver the AI product roadmap. * Help establish the technical foundations required for a commercially viable AI-powered platform. Generative AI & Large Language Models * Integrate and optimise large language model (LLM) APIs for conversational and interactive applications. * Develop prompt engineering strategies, structured outputs and context-management approaches. * Evaluate model quality, latency, reliability and cost across alternative AI providers. * Design retrieval-augmented generation (RAG) workflows and knowledge retrieval systems where appropriate. * Explore AI agent frameworks and tool-calling capabilities where they provide meaningful product value. * Implement suitable safeguards against hallucinations, prompt injection, inappropriate outputs and unintended model behaviour. * Develop evaluation frameworks to measure the quality and consistency of AI-generated responses. Digital Personalities & Creator AI * Help develop AI-powered digital personalities and interactive creator experiences for the CLM AI platform. * Explore approaches to creating consistent character identities, conversational styles and personality traits. * Integrate suitable voice, avatar and multimedia technologies into interactive digital experiences. * Investigate methods for combining text, voice and visual AI capabilities into cohesive user journeys. * Support the development of personalised experiences that reflect appropriate creator-approved content, tone and identity. * Evaluate technologies for real-time or near-real-time conversational interaction. * Work with the Founder & CEO to translate creator and audience requirements into technically feasible AI features. * Ensure that digital personality implementations respect appropriate consent, licensing, privacy and creator usage permissions. AI Models, APIs & Technical Integrations * Evaluate and integrate third-party AI services, including language, speech, image, video and other generative media APIs. * Build reusable services and abstractions for interacting with different AI providers. * Develop model-selection strategies based on capability, reliability, latency, scalability and cost. * Manage API integrations, error handling, retries, rate limits and service availability. * Assess when existing third-party models are preferable to custom model development. * Investigate fine-tuning, embeddings and other adaptation techniques where justified by product requirements and available data. * Document AI integrations, model configurations and relevant technical decisions. Data, Evaluation & Performance * Develop processes for collecting and preparing appropriately authorised data for AI applications. * Design evaluation datasets and test cases to assess model performance and response quality. * Monitor latency, token consumption, inference costs and other relevant operational metrics. * Investigate and resolve quality issues, inconsistent outputs and performance bottlenecks. * Establish repeatable testing procedures for AI prompts, model changes and new features. * Support appropriate data governance, retention and deletion practices. * Apply privacy-conscious engineering practices when processing user or creator information. Safety, Security & Responsible AI * Implement appropriate AI safety controls, content moderation and output-validation processes. * Identify risks associated with AI-generated content, impersonation, misuse and inappropriate interactions. * Support consent-based development and deployment of digital personalities and creator representations. * Help ensure that AI experiences intended for younger audiences incorporate age-appropriate safeguards. * Collaborate with the founding team to consider privacy, data protection, intellectual property and applicable regulatory requirements. * Design AI systems with suitable human oversight, escalation and reporting mechanisms. * Document known limitations, model risks and mitigation strategies. Technical Collaboration & Product Strategy * Work closely with the Founder & CEO and Founding Software Engineer to integrate AI features into the core platform. * Contribute to architecture discussions, technical planning and product prioritisation. * Explain technical options, limitations and trade-offs clearly to non-technical stakeholders. * Recommend pragmatic solutions that balance innovation, cost, reliability and speed of delivery. * Help establish reusable AI engineering practices and technical documentation. * Identify opportunities for AI to improve product engagement, personalisation and operational efficiency., * ElevenLabs or comparable voice technologies. * Speech recognition and synthesis. * AI avatar, image and video services. * Multimodal AI integrations and interactive creator experiences. Data & Infrastructure * PostgreSQL and suitable data-storage technologies. * Cloud infrastructure such as AWS, Google Cloud or Microsoft Azure. * Secure API management, environment configuration and deployment workflows. * Logging, monitoring, performance evaluation and cost tracking. AI Quality, Safety & Governance * Automated evaluation and regression testing. * Content moderation and output validation. * Privacy-conscious data processing. * Appropriate safeguards for creator rights, user interactions and younger audiences. The successful candidate will help assess which technologies are suitable for CLM AI's immediate requirements. The objective is to build a practical, maintainable and commercially sustainable AI architecture rather than introduce unnecessary complexity or infrastructure costs. 7. What Success Looks LikeFirst 30 Days * Understand CLM AI's vision, existing MVP, current AI integrations and product priorities. * Review the existing technology environment and identify key AI opportunities and constraints. * Assess relevant AI models, APIs and technologies for the initial product roadmap. * Agree on an achievable AI development plan with the Founder & CEO. * Identify priority improvements relating to quality, reliability, safety and cost. First 60 Days * Deliver initial AI integrations, prototypes or prioritised product improvements. * Demonstrate working implementations of selected AI capabilities. * Establish repeatable testing and evaluation procedures for relevant AI features. * Identify and address significant reliability, latency or cost issues. * Collaborate with the Software Engineer to integrate AI functionality into the platform. First 90 Days * Deliver agreed AI features or technical milestones that support CLM AI's development roadmap. * Demonstrate measurable improvements in AI response quality, reliability, usability or cost efficiency where applicable. * Document AI architecture, integrations, evaluation methods and key technical decisions. * Establish a realistic plan for further AI development, testing and production readiness. * Support progress towards the planned 2027 commercial launch. Success will be assessed against agreed deliverables, engineering quality, practical product impact, responsible implementation and progress against the development roadmap. Specific milestones will reflect the agreed scope of work, available resources and the stage of the existing platform. 8. Candidate Profile We are looking for an engineer who is excited by the opportunity to apply artificial intelligence to a new generation of digital media and creator experiences. You should be curious, commercially aware and comfortable working closely with a founder in an evolving product environment., * Report directly to the Founder & CEO and work closely with the Founding Software Engineer. * Participate in agreed planning meetings, progress reviews and technical demonstrations. * Maintain clear communication regarding deliverables, risks, dependencies and progress. * Coordinate across relevant US and UK working hours where reasonably required. Working hours, availability, meeting schedules, any travel requirements and the precise engagement arrangements will be agreed in advance. 11. Why Join CLM AI? * Build at an early stage: Help shape the AI foundations of an emerging media and technology platform. * Work directly with the founder: Contribute to meaningful technical and product decisions. * Develop practical AI experiences: Explore conversational AI, creator technology, voice, avatars and generative media. * Influence the technical direction: Help determine how AI capabilities are selected, evaluated and integrated. * Balance innovation with impact: Develop features intended to support entertainment, creativity, personalisation and emotional wellbeing. * Shape responsible AI practices: Contribute to the development of safeguards, privacy-conscious systems and consent-based creator experiences. * Think globally: Help build technology for a venture with ambitions across the US and international markets. * Make an early impact: Help turn an ambitious product vision into working technology as CLM AI progresses towards its planned launch., * A LinkedIn profile, GitHub profile, portfolio or relevant technical publications. * A short introduction explaining their interest in CLM AI and the Founding Artificial Intelligence Engineer role. * A brief description of an AI system, model integration or machine learning project they have built or delivered. * Details of their practical experience with LLMs, generative AI, voice technology or other relevant areas. * Their location in the United States, availability, expected weekly hours and confirmation that the proposed $75-$100 hourly range is suitable.