About *RenderNet.ai RenderNet is building the next generation of AI powered story telling tools which turbo charges the productivity for creatives across industries.\ \ Role Overview We are looking for a Visual Designer to join our dynamic creative team. The ideal candidate will be enthusiastic about learning, open to feedback, and able to conceptualize fresh, compelling designs that align with our brand and client objectives. Key Responsibilities AI Design: Learn generative AI tools and stay updated with latest innovations. Help founders and product managers research and experiment on new workflows Design & Layouts Assist in creating and refining design assets for web and print (including banners, social media graphics, presentations, brochures, and other marketing materials). Work closely with senior designers and marketing teams to produce high-quality visuals that uphold brand consistency. Brand Consistency Help maintain and evolve Rendernet.ai’s visual identity across all platforms, ensuring a cohesive and professional look. Collaboration Work with cross-functional teams (developers, product managers, marketing) to understand design requirements and deliver innovative solutions. Participate in brainstorming sessions and contribute to creative strategy discussions. File Management & Organization Maintain organized project folders, version control, and ensure all artwork is properly saved and documented for future use. Required Skills & Qualifications Education & Experience: Bachelor’s or Masters degree in Design (B.Des, B.Arch, BFA, M.Des, M.Arch, MFA) 0–1 years of industry experience or relevant internships in graphic design. Software Proficiency Familiarity with Adobe Creative Suite (Photoshop, Illustrator, InDesign) and Figma Design Fundamentals Strong understanding of color theory, typography, layout, and composition. Eye for detail and consistency. Creativity & Communication Ability to translate client or internal briefs into visually appealing designs. Good verbal and written communication skills for feedback and presentation purposes. Time Management Capable of handling multiple tasks, meeting tight deadlines, and adapting to evolving priorities. What We Offer Opportunity to work on the most cutting edge of design and product with a steep learning curve. Show more Show less

Experience Level : 3–5 Years Location : Bengaluru, India About The Role We are looking for a driven and experienced Machine Learning Engineer to join our team and help push the boundaries of what’s possible with Large Language Models (LLMs) and intelligent agents. This is a hands-on role for someone with a strong background in LLM tooling, evaluation, and data engineering, and a deep appreciation for building reusable, scalable, and open solutions. You’ll work across the stack—from agent and tool design, model evaluation, and dataset construction to serving infrastructure and fine-tuning pipelines. We're especially excited about candidates who have made meaningful contributions to open-source LLM/AI infrastructure and want to build foundational systems used by others across the ecosystem. Key Responsibilities Design, build, and iterate on LLM-powered agents and tools, from prototypes to production. Develop robust evaluation frameworks, benchmark suites, and tools to systematically test LLM behaviors. Construct custom evaluation datasets, both synthetic and real-world, to validate model outputs at scale. Build scalable, production-grade data pipelines using Apache Spark or similar frameworks. Work on fine-tuning and training workflows for open-source and proprietary LLMs. Integrate and optimize inference using platforms like vLLM, llama.cpp, and related systems. Contribute to the development of applications, emphasizing composability, traceability, and modularity. Actively participate in and contribute to open-source projects within the LLM/agent ecosystem. Requirements Must-Have Skills: 3–5 years of experience in machine learning, with a strong focus on LLMs, agent design, or tool building. Demonstrable experience building LLM-based agents, including tool usage, planning, and memory systems. Proficiency in designing and implementing evaluation frameworks, metrics, and pipelines. Strong data engineering background, with hands-on experience in Apache Spark, Airflow, or similar tools. Familiarity with serving and inference systems like vLLM, llama.cpp, or TensorRT-LLM. Deep understanding of building componentized ML systems. Open-Source Contributions Proven track record of contributing to open-source repositories related to LLMs, agent frameworks, evaluation tools, or model training. Experience maintaining your own open-source libraries or tooling is a major plus. Strong Git/GitHub practices, code documentation, and collaborative PR workflows. You’ll be expected to build tools, frameworks, or agents that may be released back to the community when possible. Nice-to-Have Familiarity with LLM orchestration frameworks like LangChain, CrewAI/AutoGen, Haystack, or DSPy. Experience training or fine-tuning models using LoRA, PEFT, or full-scale distributed training. Experience deploying LLM applications at scale in cloud or containerized environments (e.g., AWS, Kubernetes, Docker). What We Offer The opportunity to work on state-of-the-art LLM and agent technologies. Encouragement and support for open-source contributions as part of your day-to-day. A fast-paced, collaborative, and research-focused environment. Influence over architectural decisions in a rapidly evolving space. To Apply Please submit your resume and links to your GitHub, open-source projects, or public technical writing (blog posts, talks, etc.)