We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: - Research, design, and develop AI/ML solutions for real-world business applications. - Collaborate with Product Data Science teams to define core AI/ML platform features. - Analyze business requirements and identify pre-trained models that align with use cases. - Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. - Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. - Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. - Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. - Preprocess, clean, and analyze large datasets to train and improve AI models. - Optimize LLM inference speed, memory efficiency, and resource utilization. - Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. - Develop APIs, pipelines, and frameworks for integrating AI solutions into products. - Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. - Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills Experience: - AI Machine Learning: Strong experience in developing deploying AI/ML models. - Generative AI LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. - NLP Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. - AI Agents Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. - Deep Learning Frameworks: Proficiency in TensorFlow, PyTorch, Keras. - Cloud Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. - Model Optimization: Experience in LLM inference optimization for speed memory efficiency. - Programming Development: Proficiency in Python and experience in API development. - Statistical ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. - Debugging Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. - Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: - Experience with multi-modal AI (text, image, video, speech processing). - Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton)

Key Skill:2+ years experience on Core PHP, HTML/CSS, JavaScript, JQueryExperience on WordPress, CodeIgniter, .NET, Web Services would be preferred.Good communication and interpersonal skillsMust possess excellent communication skills oral and writtenMust possess knowledge of latest technology trendsMust be a keen learner should be able to drive Self LearningMust practice principle of First Time RightHigh on personal integrity with ability to establish relationships and work in teams and should be able to influence stakeholders. Should poses independence, robust ethics and resilience.

Finding Gaps in following best practices defined Understand quality goals and making sure quality reports are handy for every engineering projects.ISO Compliance & Auditing:Ensure that software engineering projects comply with ISO standards (e.g., ISO 9001:2015, ISO 27001, etc.).Develop, implement, and maintain ISO-compliant processes for project management and software development.Lead regular audits of projects to ensure ongoing ISO compliance, document audit results, and create actionable reports.Collaborate with cross-functional teams to rectify non-compliance and implement corrective actions.Agile Practices & Process Improvement:Promote and support the adoption of Agile methodologies (e.g., Scrum, Kanban) across all software engineering projects.Conduct assessments to measure Agile maturity and ensure continuous improvement.Work with Project Managers to Develop Agile project management templates, tools, and guidelines to standardize processes across projects.Project Audits & Quality Assurance:Conduct thorough audits of all software engineering projects, ensuring proper documentation, project plans, timelines, and scope management.Review project performance against project baselines and identify risks, issues, and bottlenecks.Facilitate the resolution of audit findings, ensuring corrective actions are tracked and implemented.Analyse project metrics (e.g., cost, time, quality) to ensure project outcomes align with organizational goals.Stakeholder Communication & Reporting:Communicate audit results, ISO and Agile compliance issues, and recommended improvements to key stakeholders.Prepare and present audit reports to senior management, providing insights and recommendations for continuous improvement.Serve as the point of contact for internal and external auditors.Training & Development:Develop and deliver training on ISO compliance, Agile practices, and project management tools to project teams.Conduct workshops and seminars to raise awareness and drive improvements in software engineering project execution.Risk Management & Continuous Improvement:Identify and escalate project risks and non-compliance issues that could impact project success.Work with project managers to design and implement mitigation strategies.Foster a culture of continuous improvement by analyzing project outcomes and feedback to refine processes.

Finding Gaps in following best practices defined Understand quality goals and making sure quality reports are handy for every engineering projects. ISO Compliance & Auditing : Ensure that software engineering projects comply with ISO standards (e.g., ISO 9001:2015, ISO 27001, etc.). Develop, implement, and maintain ISO-compliant processes for project management and software development. Lead regular audits of projects to ensure ongoing ISO compliance, document audit results, and create actionable reports. Collaborate with cross-functional teams to rectify non-compliance and implement corrective actions. Agile Practices & Process Improvement : Promote and support the adoption of Agile methodologies (e.g., Scrum, Kanban) across all software engineering projects. Conduct assessments to measure Agile maturity and ensure continuous improvement. Work with Project Managers to Develop Agile project management templates, tools, and guidelines to standardize processes across projects. Project Audits & Quality Assurance : Conduct thorough audits of all software engineering projects, ensuring proper documentation, project plans, timelines, and scope management. Review project performance against project baselines and identify risks, issues, and bottlenecks. Facilitate the resolution of audit findings, ensuring corrective actions are tracked and implemented. Analyse project metrics (e.g., cost, time, quality) to ensure project outcomes align with organizational goals. Stakeholder Communication & Reporting : Communicate audit results, ISO and Agile compliance issues, and recommended improvements to key stakeholders. Prepare and present audit reports to senior management, providing insights and recommendations for continuous improvement. Serve as the point of contact for internal and external auditors. Training & Development : Develop and deliver training on ISO compliance, Agile practices, and project management tools to project teams. Conduct workshops and seminars to raise awareness and drive improvements in software engineering project execution. Risk Management & Continuous Improvement : Identify and escalate project risks and non-compliance issues that could impact project success. Work with project managers to design and implement mitigation strategies. Foster a culture of continuous improvement by analyzing project outcomes and feedback to refine processes.