AI Engineer with LLM

Job Description Position Overview We are seeking a highly skilled and forward-thinking AI Engineer specialized in Large Language Models (LLMs) to design, develop, and deploy innovative AI-powered applications and intelligent agents. The ideal candidate will possess deep expertise in LLM engineering, including advanced prompt engineering strategies, fine-tuning, evaluation methodologies, and the development of systems using frameworks like Lang chain/Lang Graph. You will have a strong background in software engineering and a passion for pushing the boundaries of what's possible with generative AI, bringing solutions from ideation and research through to robust and scalable production deployment. Experience: 8 to 10 years of overall software development experience, with at least 3 years specifically focused on AI development, including significant hands-on experience with Large Language Models, agent development, and related technologies.Location: Bengaluru Employment Type: Full-time / Permanent Key Responsibilities LLM Application & Agent Development: Design, build, and optimize sophisticated applications, intelligent AI agents, and systems powered by Large Language Models. Advanced Prompt Engineering & Optimization: Develop, test, iterate, and refine advanced prompt engineering techniques to elicit desired behaviours, ensure reliability, and maximize performance from LLMs for various complex tasks. LLM Fine-Tuning & Customization: Lead efforts in fine-tuning pre-trained LLMs on domain-specific datasets to enhance their capabilities and align them with specific business needs. LLM Evaluation & Benchmarking: Establish and implement rigorous evaluation frameworks, metrics, and processes to assess LLM performance, accuracy, fairness, safety, and robustness. Framework Utilization (Langchain/LangGraph): Architect and develop complex LLM-driven workflows, chains, multi-agent systems, and graphs using frameworks like Langchain and LangGraph. Cross-Functional Collaboration: Collaborate closely with Principal Architects (including those based internationally), data scientists, software engineers, and product teams to integrate LLM-based solutions into new and existing products and services. Performance, Scalability & Cost Optimization: Optimize LLM inference speed, throughput, scalability, and cost-effectiveness for production environments. Stay Current with LLM Advancements: Continuously research, evaluate, and experiment with the latest LLM architectures, open-source models, prompt engineering methodologies, agentic AI patterns, fine-tuning methods, and ethical AI considerations. LLMOps & Governance: Contribute to building and maintaining LLMOps infrastructure, including model versioning, monitoring, feedback loops, data management for fine-tuning, and governance for LLM deployments. API & Service Development: Develop robust APIs and microservices to serve LLM-based applications and agents reliably and at scale. Documentation & Knowledge Sharing: Create comprehensive technical documentation, share expertise on LLM and agent development best practices, and present findings to both technical and non-technical stakeholders. Required Qualifications Educational Background: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related technical field. Professional Experience: 5-7 years of progressive experience in software development, with a minimum of 3 years dedicated to AI development, including substantial hands-on experience in designing, building, and deploying LLM-based systems and AI agents. Programming Proficiency: Expert proficiency in Python and its ecosystem relevant to AI and LLMs. LLM, NLP & Agent Expertise: Deep understanding of Natural Language Processing (NLP) concepts, Transformer architectures, the inner workings of Large Language Models, and principles of AI agent design. LLM Frameworks & Tools: Significant hands-on experience with LLM-specific libraries and frameworks such as Hugging Face Transformers, Langchain, LangGraph, LlamaIndex, and similar tools for building LLM applications and agents. Cloud Platform Experience: Solid experience with one or more major cloud platforms Job Description Position Overview We are seeking a highly skilled and forward-thinking AI Engineer specialized in Large Language Models (LLMs) to design, develop, and deploy innovative AI-powered applications and intelligent agents. The ideal candidate will possess deep expertise in LLM engineering, including advanced prompt engineering strategies, fine-tuning, evaluation methodologies, and the development of systems using frameworks like Lang chain/Lang Graph. You will have a strong background in software engineering and a passion for pushing the boundaries of what's possible with generative AI, bringing solutions from ideation and research through to robust and scalable production deployment. Expe