Senior AI Engineer

Description:Role : Senior AI EngineerExperience : 4 to 7 yearsLocation : GurgaonAbout VerbaFlo :VerbaFlo is an innovative AI-driven company with a focus on revolutionizing Real Estate with AI. As we expand our operations and scale new heights, we are looking for a detail-oriented and strategic Finance Manager to join our dynamic team and manage the financial health of the organization.Role Overview :We are seeking a highly skilled Senior AI Engineer from Tier 1 institute with hands-on experience in building production grade scalable AI systems. This role will report directly to the Head of AI.Key Responsibilities :- Benchmark & Evaluate : Rigorously benchmark existing AI systems and their components.- Enhance & Scale : Implement and upgrade critical parts of current AI pipelines.- Research & Innovate : Read, experiment, and apply state-of-the-art techniques from latest papers.- Optimize Performance : Improve system efficiency, accuracy, latency, and scalability across use cases.- Collaborate & Guide : Work with cross-functional teams to productionize solutions and mentor peers.- Ensure Robustness : Drive reliability, fairness, and responsible AI practices in deployed systems.- Mentor Junior AI Engineers : Lead/mentor a team of 4-5 members & build/maintain AI/ML systemsQualifications & Experience :Core Technical Requirements :- 4 years of relevant experience as an AI Engineer.- Solid understanding of ML foundations and deep learning- Very good understanding of architectures of Major AI models/networks, variables/parameters to control LLMs output/behaviour- Working of RAG architectures, Vector Databases - retrieval index (HSNW, LSH, FLAT, Quantised etc..)- Proficient in async and multi-threaded programming in Python, C++- AI frameworks such PyTorch, scikit-learn, Fast API, Parlant, Langchain, Langgraph- DB knowledge - MongoDB, Vector Databases such as Milvus, Qdrant- Working knowledge of open source models, applying fine tuning, transfer learning.- Ability to build datasets from production data for feedback systems- Working knowledge of Deploying, Observing & tracing AI system in Production- Very good working knowledge of advanced prompting techniques and templates- Ability to benchmark AI models & systems rigorously.- Experience with cloud services like EC2, ECS, s3 (object storage), API Gateway, Vertex AI- Comprehensive understanding of system design architecture like micro-service, rest API, event-architecture- Very good knowledge on CI/CD pipelines, and Docker- Ability to lead/mentor a team of 4-5 members & build/maintain AI/ML systemsStartup Ethos & Cultural Fit :- Bias for Action - We move fast, experiment often, and learn quickly.- Perfection is the enemy of Good - We value putting it out, with iteration & progress over endless polish.- Ownership Mentality - Everyone is a builder, accountable end-to-end.- Customer Obsession - Every decision ties back to solving real user problems.- Low Ego, High Impact - Collaboration, candor, and humility matter more than titles.- Resilient & Resourceful - We thrive in ambiguity and turn constraints into innovation.Why Join Us ?- Work directly with top leadership from Tier 1 institutes in a high-impact role.- Be part of an innovative and fast-growing AI startup.- Opportunity to take ownership of key projects and drive efficiency.- A collaborative, ambitious, and fast-paced work environment.- Perks & Benefits : gym membership benefit, work-from-home and workation policy, and company-sponsored lunch.If you're looking for an exciting role that combines deep expertise in AI, execution, and ownership exposure, we'd love to hear from you (ref:hirist.tech)