AI EngineerAbout Eucloid :Eucloid is a premier Data/AI organization that leverages state-of-the-art AI and Data Science technologies to deliver high-impact projects.We create business-critical solutions for Fortune-100 clients and industry leaders across various sectors, including Hi-tech, D2C, Healthcare, SaaS, and Retail.Our deep partnerships with leading platforms like Databricks, Google Cloud Platform, and Adobe enable us to build and deploy cutting-edge data products and massive-scale data platforms.Our world-class team, composed of professionals from top-tier institutes and leading global organizations, thrives in an environment that prioritizes growth, innovation, and excellence.Job Description :We are looking for an AI Engineer with robust AI/ML and GenAI systems expertise to build and produce next-generation AI systems.This role is for someone who can go beyond using frameworks - someone who understands how models and AI systems work internally, can design the architecture around them, evaluate them rigorously, and take a prototype all the way to a scalable, production-grade system.Role & Responsibilities :AI/ML & Multimodal AI :- Strong first-principles understanding of Machine Learning, Deep Learning and Computer Vision- Deep understanding of LLMs and Vision-Language Models (VLMs) - tokenization/encoding, vision & language representations, multimodal alignment and how semantic information is fused- SFT for LLMs/VLMs, PEFT/LoRA and fine-tuning strategies- Model optimization: quantization (AWQ, INT4, HQQ), distillation, batching and inference optimization- vLLM and high-performance model serving- Reward modelling, custom/verifiable rewards, DPO,



RLHF and GRPO- Hands-on experience with PyTorch, Hugging Face Transformers and TRLRAG, Retrieval & AI Agents :- Build advanced RAG / GraphRAG / VisionRAG systems- Retrieval & ranking : BM25, semantic retrieval, hybrid search, vector databases- Understand and implement RRF, MRR, Recall, Precision, F1, RAGAS and other evaluation approaches- Query optimization using HyDE, query expansion and rewriting- Agentic systems using LangGraph, LangChain, CrewAI, Agno or equivalent- Understanding of MCP, its communication/transport mechanisms, tool calling and context engineering- Structured output generation, schema validation and reliable tool executionEvaluation & ML Engineering :- Build evaluation harnesses, automated testing and benchmarking frameworks- Design golden datasets, taxonomies and evaluation datasets- Perform model benchmarking, error analysis and root-cause analysis of model failures- Design data preprocessing, transformation and ML pipelines- Understand model quality vs. latency vs. memory vs. cost trade-offs- Experience with distributed ML systems using Ray or equivalent.Production AI Systems & Architecture :- Design end-to-end AI/ML system architectures- Taking rapid prototypes - robust production systems- Build Python/FastAPI microservices and REST APIs- Docker/containerization,



webhooks and SSE- CI/CD, Git/GitHub and production engineering practices- Design scalable pipelines involving queues, asynchronous processing and distributed workloads- Hands-on exposure to multi-GPU training/inference is highly desirableBackground and Skills :- Undergraduate Degree in any quantitative discipline such as engineering or science from a Top-Tier institution. MBA is a plus.- Minimum 3 years of relevant experience in GEN AI.- Strong hands-on experience in AI/ML infrastructure, cloud platforms, and production-grade ML systems.- Prior experience working with AWS or GCP cloud services, particularly services such as AWS Bedrock, SageMaker, EC2, S3, SQS, Lambda, ECR, EKS, CloudWatch, or GCP Vertex AI.- Experience with GPU infrastructure, CUDA, multi-GPU environments, and distributed training is required.- Hands-on experience with containerized and Kubernetes-based environments, including Docker and Kubernetes.- Experience working with LLMs, model training, fine-tuning, inference, and deployment using modern ML frameworks and tools.- Experience building and deploying scalable APIs and ML services in production environments.- Strong understanding of Linux, networking/API fundamentals, REST APIs, and CI/CD practices.Location : Chennai, Hybrid work mode (4 days Work from Office and 1 day Work from Home)Rewards :- Attractive compensation- Rapid and clear growth path- Interaction with industry experts- On job training and skill developmentEucloid offers an expedited growth path along with a compensation package which is among the best in the industry (ref:hirist.tech)

📌 Eucloid - AI Engineer (Chennai)
🏢 Eucloid Data Solutions
📍 Chennai