Job Title

About Us:  At Bolo AI, our mission is to use AI to make Energy faster, safer, and better. We are building the next-generation agentic platform for heavy industries, starting with the Energy sector—enabling intelligent systems that reason, retrieve, and act across complex workflows spanning the field, office, and control center. Our products, Bolo AI Answer and Bolo AI Writes, are transforming how energy professionals from field engineers to operational leaders—access information, execute procedures, and make high-stakes decisions. By combining domain-specific models, LLM agents, and scalable infrastructure, we are reimagining AI-native workflows for critical industrial environments. We live by our core values:  Customer Centric: We prioritize our customers and aim to exceed their expectations.  Humility and Respect: We foster a culture of respect, humility, and low ego.  Accountability & Integrity: We take ownership of our actions and deliver on our promises.  Meritocratic: We reward excellence and provide opportunities based on merit.  Problem Solvers: We tackle challenges head-on with creativity and determination.  Role Overview: As the Engineering Lead – India, you will scale our engineering team and lead product delivery efforts across Generative AI systems. You will manage a growing group of applied scientists, MLOps engineers, and backend developers working on high-performance platforms for LLM training, RAG, LLM agent orchestration, and enterprise deployments. In this role, you will be responsible for the joint efforts of the team, ensuring that the team ships world class products on time and at a high level of quality. As a growing team, we are seeking a leader who can drive product excellence, ensuring rapid delivery of new feature sets, capabilities and AI-drive use cases for our customers.  Additionally, you will define the technical vision, establish execution frameworks, and ensure engineering excellence. Reporting directly to the CTO and working closely with the CEO, you’ll collaborate across research and product teams to shape our roadmap and deliver real-world impact through cutting-edge AI systems.  Responsibilities: Technical Leadership: Architect scalable and high-performance systems to support LLM pipelines, RAG infrastructure, and agentic workflows. Team Building & People Management: Hire, mentor, and grow a top-tier engineering team across domains like platform engineering, ML infra, and backend systems. Product Delivery: Own the end-to-end delivery of mission-critical AI products from ideation to production deployment. Collaboration: Work closely with founders, research scientists, and product managers to align on technical direction and business priorities. Culture & Process: Establish best practices in software development, MLOps, DevSecOps, and system design; champion code quality, reviews, and architectural rigor. Scaling Systems: Lead initiatives to improve system performance, optimize LLM inference (CPU/GPU), and drive cost-efficiencies across cloud environments. Customer Engagement: Interface with enterprise clients and partners to understand requirements, gather feedback, and support solution delivery. Qualifications: 10+ years of engineering experience with 5+ years of experience building and leading engineering teams, preferably in fast-paced startup or scale-up environments. Deep expertise in building production ML systems including model training, optimization, and deployment at scale (LLM, RAG, agents, classification, etc.). Strong backend and systems engineering fundamentals with experience in Python, and microservice architecture. Prior experience with hybrid deployments (on-prem, VPC) and cloud-native infrastructure (AWS, GCP, Azure). Proven ability to scale engineering orgs, set processes, and lead cross-functional execution. Passion for solving real-world problems using cutting-edge ML and AI. M.Tech/MS/PhD in Computer Science or related field. IIT/NIT/BITS alumni or strong academic background preferred. Desirable Skills: Experience with CPU- and GPU-optimized ML inference frameworks such as BOLT, TorchScript, Triton, ONNX, or vLLM. Background in LLM training (e.g., LoRA, QLoRA, RLHF, MoE), LLM Agents, multilingual NLP, or recommendation systems. Publications in top ML/NLP conferences (e.g., NeurIPS, CVPR, ECCV) or patents in the AI/ML domain. Prior startup experience, especially in enterprise or SaaS. What We Offer:  Competitive Compensation: A strong base salary  Ownership & Impact: Equity options so you can share in our success as we grow and shape the future together.  Hybrid Work Environment: Enjoy a flexible hybrid schedule—collaborate in person and work from home when needed, because we trust you to get the job done while maintaining a healthy work-life balance.  Growth & Opportunity: Join us at a pivotal stage where your contributions will have a direct impact on our journey. As we grow, so will your opportunities.  Culture of Respect & Collaboration: We live by humility, respect, and low ego. You’ll be part of a team that values your ideas and celebrates wins together.