About Us

At micro1, were all about connecting skilled remote professionals with some of the best companies in Silicon Valley

Our mission is to offer a stable, competitive income, along with access to top industry opportunities?all in a flexible work setting with a range of great benefits

Were here to help you grow in your career

We're proud to work with trusted partners such as Deel, Immutable, OGara, and LegalSoft

What We Offer

Healthcare reimbursement

Wi-Fi Reimbursement

Unlimited Learning: Access to Udemy courses, books, and everything you need to keep growing

And So Much More: Were not just about work?were about creating an environment where youll love to be!

About The Role

We are seeking a Senior Large Language Model (LLM) Engineer with solid experience in production deployments The ideal candidate will have a proven track record in developing, deploying, and optimizing large language models in a production workplace

We are looking for individuals who have hands-on experience and are capable of managing end-to-end solutions rather than just building prototypes or proofs of concept

Key Responsibilities

Design, develop, and deploy large language models for diverse, production-level applications

Scale GenAI applications to handle high user loads and large datasets with optimized response times





Develop and refine prompt strategies, including zero-shot and context-based techniques, for effective LLM utilization

Set up and manage end-to-end pipelines involving vector databases, caching layers, and embedding systems

Work in containerized environments, such as Kubernetes, to build and maintain pipelines and create API endpoints

Required Qualifications

4-8 years of Experience in software engineering, with at least 2 years in hands-on LLM projects

3-4 years of experience in Python Development, with proficiency in FastAPI or Flask

Strong understanding of APIs , WebSockets, and production deployments

Experience with EC2, SageMaker, and AWS databases in AWS Services

Hands-on experience with frameworks such as Langchain, LlamaIndex, DSPy, and tools like OpenAI, vector databases, and recent prompt engineering and RAG implementations in LLM/GenAI Expertise

Proficiency in setting up pipelines, containerizing applications, and creating handoff-ready API endpoints for DevOps in Kubernetes

Practical experience with fine-tuning open-source models for production environments

Nice To Have

Familiarity with Azure services

Practical and deployed experience rather than hobbyist projects Experience in Fine-Tuning Open Source Models

📌 Senior LLM Engineer (Bengaluru)
🏢 micro1
📍 Bengaluru