LLM Fine-Tuning Engineer Location: Hybrid - Bangalore Type: Full-Time About the Role Join our core AI team to develop intelligent systems that transform complex engineering workflows into intuitive conversational experiences. You'll work with cutting-edge language models to create domain-specialized AI solutions for technical applications. Key ResponsibilitiesDomain-Specialized Model Development Adapt large language models to understand technical documentation, specifications, and domain-specific content Optimize model performance for accuracy and reliability in engineering contexts Develop systems for multi-turn contextual reasoning in technical workflows Performance Optimization Implement efficient model deployment strategies for production environments Design hybrid architectures combining retrieval and generation approaches Optimize models for both cloud and edge deployment scenarios Multi-Modal Integration Integrate text, voice, and visual data processing capabilities Enable seamless interaction across different input modalities Develop systems for technical document understanding Innovation & Research Research emerging techniques in model adaptation and optimization Collaborate with domain experts to capture specialized knowledge Stay current with latest developments in LLM fine-tuning methodologies. Technical RequirementsCore Competencies ✅ 1 + years experience fine-tuning large language models using modern frameworks ✅ Expertise in: Parameter-efficient fine-tuning techniques Model optimization for production deployment Evaluation frameworks and custom metrics development ✅ Proficiency in: Python, machine learning operations, and deployment tools Domain Advantage Understanding of engineering workflows and technical documentation Experience with conversational AI systems Knowledge of retrieval-augmented generation approaches Soft Skills 🔍 Strong focus on performance optimization and accuracy trade-offs 💡 Creative approach to data augmentation for specialized domains 🤝 Collaborative mindset for cross-functional team environments QualificationsEducation Computer Science, Engineering, or related technical field Strong foundation in machine learning and natural language processing Portfolio Requirements Demonstrate impact through: Technical projects showcasing model fine-tuning for specialized domains Published research or contributions to AI/ML communities Open-source contributions to relevant projects Experience Production experience with large-scale language model deployments Background with multi-modal AI systems Track record of shipping AI-powered features to end users Bonus Qualifications Contributions to open-source AI/ML projects Experience with voice-enabled applications Background in conversational AI or dialogue systems Prior work in engineering or technical domains
VOLT IQ is building the AI Copilot that transforms how electrical, electronics, and hardware engineers work. Our platform combines cognitive probing with real-time component intelligence, turning atomic components into automation-ready systems while eliminating errors, reducing compliance risks, and accelerating time-to-market. Company Vision We're the "compiler" of hardware engineering—just as software compilers transform code into executable programs, VOLT IQ transforms engineering intent into optimized hardware solutions through advanced AI. The Role: Co-Founder & CTO | Bengaluru (On-site) As Co-Founder & CTO, you'll be an equity partner driving our technical vision from MVP to market leadership. This is a hands-on leadership role where you'll architect scalable AI systems, build world-class engineering teams, and shape the future of hardware engineering. Deep expertise in AI model orchestration, RAG systems, and prompt engineering Key Responsibilities 🔧 Technical Leadership Architect AI orchestration systems with multi-model cognitive routing Lead development of voice-native intelligence and component lifecycle platforms Design scalable cloud infrastructure for enterprise-grade performance 👥 Team & Strategy Build and mentor a high-performing engineering organization Collaborate cross-functionally to align technology with business objectives Drive R&D initiatives in hardware-specific AI applications 📊 Business Impact Contribute to fundraising and investor relations Entrepreneurial mindset with passion for AI's impact on hardware engineering Ensure compliance with industry standards (IEEE, IEC, GDPR) Investment & Commitment: Personal investment capacity of ₹25+ lakhs, demonstrating aligned incentives and long-term commitment to our shared vision. What We're Looking For Essential Qualifications ✅ 10+ years software/AI development experience ✅ 5+ years CTO or senior technical leadership experience ✅ Advanced degree in Computer Science, Engineering, or related field ✅ Deep AI/ML expertise : LLMs, RAG systems, cognitive architectures ✅ Hardware engineering knowledge : Power electronics, embedded systems, component lifecycle management Preferred Experience 🎯 Startup experience (founder/early technical hire) 🎯 B2B SaaS or engineering tools background. 🎯 Full-stack development and DevOps expertise 🎯 Experience scaling technical teams from 5-50+ engineers 🎯 Track record of shipping AI products to production Key Competencies Analytical Excellence : Research-driven approach to complex engineering challenges Communication Mastery : Ability to translate technical concepts for diverse stakeholders Strategic Thinking : Understanding of sales, marketing, and go-to-market dynamics Leadership DNA : Proven ability to inspire and scale high-performance teams Why Join VOLT IQ? 🚀 Significant Equity : True co-founder ownership stake 📈 Market Opportunity : Targeting 2M+ engineers in a massive, underserved market 💡 Technical Innovation : Build bleeding-edge AI for real-world engineering impact 🌟 Founding Team : Work alongside experienced entrepreneurs with industry expertise Ready to Compile the Future of Hardware Engineering? If you're passionate about AI's transformative potential and ready to lead technical innovation in hardware engineering, let's connect.