Ai Engineer For Bangalore

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 AWS GCP Azure and their respective AI ML services particularly those for deploying and managing LLMs e g Amazon Bedrock Google Vertex AI Azure OpenAI Service Fine-Tuning Evaluation Experience Demonstrable experience in fine-tuning LLMs and implementing robust evaluation strategies for both models and agent performance MLOps LLMOps Practices Experience with MLOps principles and tools adapted for the LLM lifecycle e g experiment tracking model registries CI CD for LLMs and agent-based systems Data Handling for LLMs Understanding of data preprocessing augmentation and management techniques for training and fine-tuning LLMs Version Control Proficiency with Git and collaborative development workflows Preferred Qualifications Advanced LLM Architectures Prompt Engineering Deep experience with various LLM architectures their trade-offs and mastery of advanced prompt engineering techniques Autonomous Agent Multi-Agent Systems Proven experience in designing developing and deploying autonomous AI agents or complex multi-agent systems Vector Databases Familiarity with vector databases e g Pinecone Weaviate Milvus Chroma for retrieval augmented generation RAG and semantic search in agentic architectures Distributed Systems for LLMs Knowledge of distributed training and inference techniques for very large models Ethical AI Responsible LLM Agent Development Strong understanding of ethical considerations bias detection and responsible AI practices in the context of LLMs and AI agents Research Publications Contributions to LLM or AI agent research publications in relevant conferences journals or active participation in open-source LLM agent projects Domain-Specific LLM Agent Applications Experience applying LLMs and agents to solve problems in specific industry domains Cloud Certifications Relevant cloud certifications e g AWS Certified Machine Learning Google Professional Machine Learning Engineer Microsoft Certified Azure AI Engineer Associate or similar MCP credentials Technical Skillset Summary Programming Python expert SQL LLM NLP Agent Frameworks Hugging Face Transformers Langchain LangGraph LlamaIndex PyTorch TensorFlow frameworks for agent development Cloud Platforms LLM Services AWS SageMaker Bedrock GCP Vertex AI Azure Machine Learning Azure OpenAI Service Tools Docker Kubernetes MLflow Weights Biases Vector Databases e g Pinecone Weaviate Databases Relational SQL Server PostgreSQL MySQL NoSQL MongoDB and Vector Databases Soft Skills Exceptional analytical creative and critical thinking skills with a talent for innovative problem-solving in the generative AI and intelligent agent space Outstanding communication skills with the ability to explain complex LLM concepts and agent system designs to diverse audiences Proven ability to work effectively both independently and as a key contributor in collaborative agile teams Meticulous attention to detail especially regarding data quality model behavior agent reliability and system robustness A proactive highly adaptable mindset with an insatiable curiosity and passion for the rapidly evolving field of Large Language Models and AI agents