At Infinite Possibilities , we’re reimagining how Private Equity and consulting teams work—by building intelligent AI-native workflows and agentic platforms tailored to the real-world needs of high-performance teams. Our mission is to accelerate value creation through cutting-edge AI, system design, and product craftsmanship. We're a fast-growing startup building at the intersection of LLMs, infrastructure, and human-AI collaboration.
Role Description
We are seeking a Senior AI Engineer with 3–4 years of strong hands-on experience in Artificial Intelligence and Large Language Models. In this role, you will lead the design, development, and deployment of AI-driven solutions, collaborating closely with cross-functional teams to drive innovation and deliver impact at scale.
You will be responsible for building scalable AI models, optimizing performance, and architecting intelligent systems that power next-gen agentic workflows. This is an opportunity to shape the future of human-AI collaboration in a high-growth, cutting-edge environment.
Key Roles & Responsibilities
- Contribute to the design and development of advanced AI / ML solutions across NLP, LLMs, and Agentic AI.
- Architect, train, fine-tune, and deploy transformer-based models at scale.
- Collaborate with product, engineering, and business teams to define requirements and deliver production-ready AI systems.
- Optimize model performance, inference efficiency, and reliability across platforms.
- Contribute to infrastructure design for large-scale AI workloads.
- Mentor junior engineers and foster a culture of technical excellence.
- Stay updated with the latest AI research and translate it into practical applications.
Must-Have Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, AI / ML,or related field from premium institutes (IIT / NIT / BITS) .3–4 years of industry experience in AI / ML engineering with demonstrated project ownership.Strong expertise in transformer models, LLMs, and prompt engineering .Hands-on experience with Hugging Face, LangChain, OpenAI APIs, or other open-source LLM frameworks .Proficiency in Python and back-end development with deployment experience on cloud (AWS, GCP, or Azure).Strong understanding of data structures, algorithms, and system design.Experience with MLOps, model serving, and scalable pipelines .Proven ability to work in fast-paced startup environments.Excellent problem-solving, communication, and leadership skills.Perks & Benefits
Industry-leading pay with performance-based rewards.Work on cutting-edge AI applications with global impact and real-world use cases.Join a remote-first, fast-paced team with direct influence on product and architecture decisions.Think you’re a fit? Apply now and let’s build something extraordinary together.