LLM Engineer

2 days ago

Delhi, Delhi, India AviinTech Business Solutions Full time

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)

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