Senior AI Engineer
4 weeks ago
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.
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