Talent.com
This job offer is not available in your country.
LLM Engineer - Artificial Intelligence / Machine Learning System

LLM Engineer - Artificial Intelligence / Machine Learning System

AviinTech Business SolutionsDelhi, IN
27 days ago
Job type
  • Remote
Job description

Role Overview :

We are seeking a highly skilled LLM Engineer with strong expertise in building, deploying, and optimizing Large Language Model (LLM)-driven applications.

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.

This role demands a professional who can integrate LLM capabilities into scalable backend systems while also collaborating on frontend Responsibilities :

LLM Development & Integration :

  • Design, fine-tune, and deploy LLM-based solutions using frameworks such as AWS Bedrock, Gemini, Hugging Face, or OpenAI APIs.
  • Build custom pipelines for prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
  • Optimize model inference performance and reduce latency in real-world Engineering :
  • Develop and maintain backend services using Python (FastAPI, Flask, Django) with strong focus on

scalability, modularity, and performance.

  • Implement APIs and microservices to integrate AI-driven features with enterprise-grade applications.
  • Work with EKS, Docker, and Kubernetes for containerized deployments and Database & Retrieval Systems :
  • Build and optimize semantic search systems using vector databases such as Pinecone, FAISS, or Weaviate.
  • Design and implement embeddings pipelines to support RAG (Retrieval-Augmented Generation) use cases.
  • Ensure efficient storage, indexing, and retrieval of unstructured data for LLM & Infrastructure :
  • Leverage AWS (Bedrock, Lambda, S3, SageMaker) and GCP AI / ML services for scalable model deployment.
  • Implement cloud-native best practices for security, cost optimization, and monitoring.
  • Automate deployment pipelines (CI / CD) for ML-powered Integration :
  • Collaborate with frontend engineers to integrate AI-powered features into applications using React, Vue.js, or Lovable.dev.
  • Ensure seamless user experiences for AI-driven interfaces, including conversational UIs and intelligent Collaboration :
  • Partner with data scientists, ML engineers, and product managers to design end-to-end LLM-powered solutions.
  • Contribute to system architecture, scalability discussions, and performance reviews.
  • Stay updated with the latest advancements in LLMs, vector search, and AI Skills & Qualifications :
  • Software Engineering Experience : 6+ years in backend or full-stack development.
  • LLM Expertise : Proven hands-on work with AWS Bedrock, Gemini, Hugging Face, or similar LLM ecosystems.
  • Programming Skills : Strong proficiency in Python for backend development, API design, and AI integration.
  • Frameworks & Tools : Experience with FastAPI, Flask, and containerized deployments (EKS, Docker, Kubernetes).
  • Vector Databases : Practical experience with Pinecone, FAISS, Weaviate, or similar technologies.
  • Cloud Proficiency : Hands-on exposure to AWS and GCP services for deploying and scaling LLM applications.
  • Frontend Knowledge : Working experience with React, Vue.js, or Lovable.dev for AI feature integration.
  • System Design : Ability to design scalable, distributed, and fault-tolerant AI-driven architectures.
  • Problem-Solving : Strong debugging, optimization, and performance tuning skills

    • (ref : hirist.tech)

    Create a job alert for this search

    Artificial Engineer • Delhi, IN