We are seeking a Generative AI Engineer Intern to join our innovative start-up. In this role, you will support the development, implementation, and evaluation of Generative AI models, AI agents, and RAG (Retrieval-Augmented Generation) systems. You'll work on data preparation, model experimentation, and help integrate AI-driven intelligence into real-world applications. Key Responsibilities: Assist in building, fine-tuning, and deploying Gen AI models, AI agents, and RAG pipelines. Perform data preprocessing, analysis, and quality checks for model input and retrieval. Conduct model and system evaluation using both quantitative and qualitative metrics. Develop and test algorithms to improve accuracy, reliability, and contextual reasoning Collaborate with cross-functional teams to design and integrate AI-powered features. Document workflows, results, and insights from experiments and evaluations. Key Skills: Proficiency in Computer Science and Algorithms Excellent problem-solving and analytical skills Ability to work effectively in a remote team environment Strong understanding of AI and machine learning fundamentals Strong Proficiency in Python and relevant libraries/frameworks (Hugging Face). Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks (e.g., LlamaIndex, CrewAI) LLM & RAG Evaluation:Design and implement robust AI evaluation frameworks (e.g., RAGAs, LLM-as-a-Judge) Compensation: ?7-10K during internship, potential for full time role. Opportunities for professional development and growth. Location: Remote
You will be on the front lines of building a global movement around AI agents. We are looking for a creative, energetic, and tech-savvy intern focus on Market Research activities. Key Responsibilities Market Research: Identify and analyze high-potential industries and companies (e.g., in Energy, finance, healthcare, logistics) that could benefit from our multi-agent framework. Pre-Sales Support - Provide comprehensive technical and commercial information to potential clients, addressing their specific needs and requirements. Client Relationship Management - Follow up on leads and inquiries promptly, providing timely and professional responses to client questions and concerns. Capital Raising and Investor Relations - Identify potential investors and cultivate relationships through direct outreach, networking events, and industry conferences. Who We're Looking For Deeply Curious About AI: You don't need to be an engineer, but you must be fascinated by AI, LLMs, and the concept of autonomous agents. A Hunter Mentality: You are proactive, self-motivated, and enjoy the challenge of finding new opportunities and investors. Compensation: ?7-10K during internship, potential for full time role. Opportunities for professional development and growth. Location: Remote.
AI Engineer/Senior AI Engineer We are redefining the future of autonomous intelligence and we’re looking for an exceptional Agentic AI Engineer to help us build it. Role Overview As an Agentic AI Engineer on our core team, you will architect, build, and ship sophisticated autonomous multi-agent systems that push beyond traditional LLM workflows. Your work will span intelligent agent collaboration, complex decision-making pipelines, adaptive learning, and high-throughput deployment at scale. If you’re excited by the challenge of building truly intelligent systems and want to help define the future of agentic AI, this role is for you. Key Responsibilities Design, build, and maintain complex multi-agent workflows and architectures (e.g., hierarchical, sequential, and parallel agent systems). Develop and optimize agent-to-agent communication protocols and memory systems to ensure seamless and efficient collaboration. Work with our high-performance, ultra-optimized runtimes (in Python) to maximize agent speed and efficiency. Develop and document production-ready code snippets, real-world examples, and application templates for our developer community and enterprise clients. Implement and test agent swarms in advanced simulation environments. Collaborate with clients and partners to understand their needs and implement robust, scalable, and secure agentic solutions. Required Qualifications Proven experience as a software engineer with strong proficiency in Python and modern software engineering best practices. Practical experience building agentic / multi-agent AI systems using frameworks such as LangChain, AutoGen, LangGraph, OpenAI Agents, or similar . Deep understanding of Large Language Models (LLMs) , vector databases, embeddings, and API-driven AI integrations. Solid background in machine learning fundamentals , including model training, evaluation, and optimization. Hands-on experience with AI evaluation frameworks , benchmarking methodologies, prompt/agent evaluation, and quality metrics. Experience working with distributed systems, microservices , and building scalable, high-performance production applications. Strong analytical and problem-solving skills, with the ability to design solutions for complex, ambiguous technical challenges. Excellent communication skills and the ability to collaborate effectively in a remote-first, cross-functional environment . Preferred Qualifications Experience designing end-to-end agentic workflows planning, tool use, retrieval, reflection, and self-correction. Hands-on experience implementing knowledge-graph-based reasoning or symbolic + neural hybrid architectures. Familiarity with enterprise data ecosystems (data lakes, ETL, governance, lineage). Experience with cloud-native MLOps platforms (e.g., Vertex AI, SageMaker, Databricks) or container orchestration (Kubernetes). Experience with optimization techniques for inference efficiency (quantization, distillation, caching). Experience mentoring junior engineers or leading small, high-impact engineering initiatives. Experience fine-tuning foundation models (e.g., full-parameter, LoRA, QLoRA) and managing custom model training workflows. Why Join Us? Build the Future of Autonomy: Help architect and ship a next-generation agentic AI platform that will redefine how businesses operate. High Ownership, Real Impact: Every line of code and idea you contribute will directly shape our product, roadmap, and the future of intelligent autonomy. Startup Energy, Deep Tech Vision: Work in a fast-moving, innovation-driven environment where experimentation is encouraged and breakthrough ideas are celebrated. Collaborate With World-Class Talent: Join a tight-knit team of AI researchers, product innovators, and engineers who are passionate about solving hard problems. Career-Defining Growth: Take on diverse responsibilities, stretch your technical depth, and play a foundational role in a rapidly scaling company. Location: Remote