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About the role
ABOUT US: As a world leading provider of integrated solutions for the alternative investment industry, Alter Domus (meaning The Other House in Latin) is proud to be home to 90% of the top 30 asset managers in the private markets, and more than 6,000 professionals across 24 jurisdictions. With a deep understanding of what it takes to succeed in alternatives, we believe in being different - in what we do, in how we work and most importantly in how we enable and develop our people. Invest yourself in the alternative, and join an organization where you progress on merit, where you can speak openly with whoever you are speaking to, and where you will be supported along whichever path you choose to take. Find out more about life at Alter Domus at careers.alterdomus.com Job Summary: Join our dynamic and innovative team at Alter Domus as an AI & ML Engineer, where you will play a pivotal role in designing, building, and maintaining our AI platform and ML pipelines. Working closely with data analysts, data scientists, and various business stakeholders, youll ensure data is reliable, efficient, and accessible in a scalable manner. What Youll Do: Build & Prototype Assemble off-the-shelf LLMs (Azure OpenAI, AWS Bedrock, Anthropic Claude, Meta LLaMA APIs) into Alter Domus products and agentifying our workflowsRapidly prototype in low-code/visual studios (Firebase Studio, v0, Lovable, etc) and with agentic frameworks (LangChain, AutoGen, MCP/A2A).Automate & IntegrateConnect your assistants to real systems via MCP, APIs, webhooks and microservices.Code with AI HelpersLeverage GitHub Copilot, Cursor, Windsurf, Cline and Q Developer to accelerate script, API and workflow development.Write unit/integration tests and help maintain our CI/CD pipelines.Live Projects Youll Continue to DevelopdomusAI: An adaptive AI assistant platform for AD employees that learn user preferences through a dynamic memory management system. It provides personalized support via agentic LLM chats and integrated tool capabilities. The system features semantic document search, contextual understanding, MCP integration, custom agent creator, and secure information retrieval.domiAI: Our flagship virtual assistant powered by an integrated data and AI platform that transforms client-specific information into vectorized knowledge bases and structured data repositories, enabling real-time generation of meaningful insights, comprehensive reports, search, analytics, and predictions through an intuitive conversational interface.domusDocs: A document extraction engine to extract intelligence and process business documents leveraging advanced GenAI techniquesWorking on Alter Domus Knowledge Based Agents and vectorizing our corpus of dataMulti-Agentic Framework: The architecture that lets specialized AI agents coordinate on complex workflows, build MCPsyour chance to see multi-agent collaboration in action. Learn & Collaborate Learn: Work with an agile team of data scientists, engineers, and AI specialists to master cutting-edge techniques in data analysis, prompt engineering, and AI implementation.Collaborate: Rapidly prototype solutions, iterate based on client feedback, and deploy customized solutions that address specific business challenges while continuously expanding your technical capabilities and domain expertise. Support & Iterate Help define test plans, troubleshoot issues and tune prompts for accuracy and performance.Gather feedback from business stakeholders and iterate quickly on your prototypes. Who You Are: Tech Enthusiast: Youve built at least three AI end-to-end projects deployed in productionCurious Learner: Youre eager to continue exploring new LLM services, low-code studios and agentic frameworks.Collaborative Communicator: You explain technical ideas clearly in English and enjoy working closely with SMEs and teammates.Adaptive: You are quickly able to adapt to the development and deployment Golden Path internal to Alter DomusSelf-Starter: You solve problems proactively using online resources, community forumsor even autonomous agents of your own creation. Technical Requirements: 5+ years of total experience with relevant experience of 3+ years in Python and related data science libraries (NumPy, Pandas, PyTorch, TensorFlow) Experience creating agentic AI workflows using Lang graph, Autogen, CrewAI or other agent libraries Experience with vector databases (Pinecone, Qdrant, or similar) Proficiency with REST APIs and microservice architecture Familiarity with AWS cloud platform Experience with containerization (Docker) and orchestration tools (Kubernetes) Strong understanding of NLP concepts and LLM implementation Experience with prompt engineering and fine-tuning language models WHAT WE OFFER We are committed to supporting your development, advancing your career, and providing benefits that matter to you. Our industry-leading Alter Domus Academy offers six learning AB
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