Urgent! LLM Engineer - Artificial Intelligence/Machine Learning System Job Opening In India, India – Now Hiring AviinTech Business Solutions
<p><p><b>Role Overview :</b></p><p><p><br/></p><p>We are seeking a highly skilled LLM Engineer with strong expertise in building, deploying, and optimizing Large Language Model (LLM)-driven applications.</p><p><br/></p>The ideal candidate will have a solid software engineering background, proven experience in AI/ML systems, and hands-on exposure to modern cloud-native, containerized, and vector database technologies.<br/><br/></p><p>This role demands a professional who can integrate LLM capabilities into scalable backend systems while also collaborating on frontend Responsibilities :</b></p><p><b><br/></b></p><p><b>LLM Development & Integration :</b></p></p><p><b><br/></b>- Design, fine-tune, and deploy LLM-based solutions using frameworks such as AWS Bedrock, Gemini, Hugging Face, or OpenAI APIs.</p><p><br/>- Build custom pipelines for prompt engineering, retrieval-augmented generation (RAG), and model orchestration.<br/><br/></p><p>- Optimize model inference performance and reduce latency in real-world Engineering :</b></p><p><b><br/></b></p>- Develop and maintain backend services using Python (FastAPI, Flask, Django) with strong focus on </p><p>scalability, modularity, and performance.<br/><br/></p><p>- Implement APIs and microservices to integrate AI-driven features with enterprise-grade applications.<br/><br/></p><p>- Work with EKS, Docker, and Kubernetes for containerized deployments and Database & Retrieval Systems :</b></p><p><b><br/></b></p>- Build and optimize semantic search systems using vector databases such as Pinecone, FAISS, or Weaviate.<br/><br/></p><p>- Design and implement embeddings pipelines to support RAG (Retrieval-Augmented Generation) use cases.<br/><br/></p><p>- Ensure efficient storage, indexing, and retrieval of unstructured data for LLM & Infrastructure :</b></p><p><b><br/></b></p>- Leverage AWS (Bedrock, Lambda, S3, SageMaker) and GCP AI/ML services for scalable model deployment.<br/><br/></p><p>- Implement cloud-native best practices for security, cost optimization, and monitoring.<br/><br/></p><p>- Automate deployment pipelines (CI/CD) for ML-powered Integration :</b></p><p><b><br/></b></p>- Collaborate with frontend engineers to integrate AI-powered features into applications using React, Vue.js, or Lovable.dev.</p><p><br/></p><p>- Ensure seamless user experiences for AI-driven interfaces, including conversational UIs and intelligent Collaboration :</b></p><p><b><br/></b></p>- Partner with data scientists, ML engineers, and product managers to design end-to-end LLM-powered solutions.<br/><br/></p><p>- Contribute to system architecture, scalability discussions, and performance reviews.<br/><br/></p><p>- Stay updated with the latest advancements in LLMs, vector search, and AI Skills & Qualifications :</b></p><p><b><br/></b></p>- Software Engineering Experience : 6+ years in backend or full-stack development.<br/><br/></p><p>- LLM Expertise : Proven hands-on work with AWS Bedrock, Gemini, Hugging Face, or similar LLM ecosystems.<br/><br/></p><p>- Programming Skills : Strong proficiency in Python for backend development, API design, and AI integration.<br/><br/></p><p>- Frameworks & Tools : Experience with FastAPI, Flask, and containerized deployments (EKS, Docker, Kubernetes).<br/><br/></p><p>- Vector Databases : Practical experience with Pinecone, FAISS, Weaviate, or similar technologies.<br/><br/></p><p>- Cloud Proficiency : Hands-on exposure to AWS and GCP services for deploying and scaling LLM applications.<br/><br/></p><p>- Frontend Knowledge : Working experience with React, Vue.js, or Lovable.dev for AI feature integration.<br/><br/></p><p>- System Design : Ability to design scalable, distributed, and fault-tolerant AI-driven architectures.<br/><br/></p><p>- Problem-Solving : Strong debugging, optimization, and performance tuning skills</p><br/></p> (ref:hirist.tech)
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Unlock Your LLM Engineer Potential: Insight & Career Growth Guide
Real-time LLM Engineer Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for LLM Engineer in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 595740 jobs in India and 40822 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in LLM Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! AviinTech Business Solutions is currently hiring and seeking a LLM Engineer Artificial Intelligence/Machine Learning System to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a LLM Engineer Artificial Intelligence/Machine Learning System Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for LLM Engineer Artificial Intelligence/Machine Learning System typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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