10 Years Experience     07-Apr-2026


LLM Developer – Remote (US) | LockedIn AI

LockedIn AI

Skills

Experience: 3+ years building LLM-powered applications or AI systems in production. Technical Skills: Python, LangChain, LlamaIndex, Hugging Face Transformers, RAG systems, vector databases, fine-tuning (LoRA, QLoRA), API/microservice development. Education: Bachelor’s in CS, ML, or related field; advanced degrees are a plus. Strategic & Soft Skills: Strong problem-solving, communication, model-native thinking, and quality obsession.


LLM Developer – Remote (US) | LockedIn AI

Job Description

 Roles and Responsibilities: 

Location: Remote (US-Based) · Optional Hybrid in New York, NY
Employment Type: Full-Time
Compensation: $150,000 – $220,000 USD / year
Reports To: Co-Founder / CEO

About LockedIn AI

LockedIn AI is the #1 real-time AI interview and meeting copilot, empowering over 1 million users worldwide. We transform how people prepare for interviews and professional meetings by providing real-time, AI-powered guidance, helping users communicate with clarity, confidence, and impact.

We are building a platform where AI doesn’t just assist—it thinks, listens, and responds intelligently, giving candidates an edge in every interaction. This is your chance to shape the future of career technology.

Why This Role Matters

As an LLM Developer, you won’t just write code—you’ll create the brains of our AI copilot. Every answer, suggestion, and insight that our platform gives to millions of users passes through the systems you build. You’ll have the freedom and responsibility to design, optimize, and scale LLMs that operate in real time, ensuring they are accurate, safe, and human-like.

You will tackle challenges such as:

  • Making AI respond instantly and reliably during live interviews.
  • Fine-tuning models to understand context, nuance, and tone for professional conversations.
  • Preventing errors, hallucinations, and bias while maintaining high-speed performance.

If you enjoy working at the intersection of cutting-edge AI research and real-world product impact, this is the role for you.

What You’ll Do

Build & Optimize LLM Features

  • Create AI features that coach, assist, and interact in real-time with users.
  • Design prompt chains, multi-turn conversations, and agent workflows for intelligent AI responses.

Fine-Tune & Train Models

  • Customize foundation models for interviews, coding help, and professional guidance.
  • Manage data pipelines for high-quality training datasets.

Deploy & Scale AI Systems

  • Integrate APIs from top providers (OpenAI, Anthropic, Google AI, open-source).
  • Build high-performance pipelines for low-latency, real-time AI responses.

Ensure Quality & Responsible AI

  • Monitor AI performance, prevent harmful outputs, and maintain privacy-first design.
  • Continuously test, refine, and improve AI output quality across scenarios.

What We’re Looking For

  • 3+ years building LLM-powered products or AI systems.
  • Deep knowledge of transformer architectures, prompt engineering, and inference optimization.
  • Experience with RAG systems, vector databases, Python, and LLM frameworks (LangChain, Hugging Face).
  • Strong problem-solving, communication, and ownership mindset.
  • Startup experience is a plus — you thrive in fast-paced, high-impact environments.

Why Join Us

  • Impact: Build AI that helps millions of users communicate better.
  • Ownership: Shape the LLM stack and see your work in production immediately.
  • Growth: Work with a small, ambitious team where every contribution matters.
  • Innovation: Explore real-time, multi-modal, agentic AI systems at the forefront of applied AI.
  • Equity: Be a true co-owner of a rapidly growing, category-defining startup.

How to Apply

Send us:

  1. Resume or CV
  2. A note explaining why you want to join LockedIn AI, whether you’ve tried the app, and what could be improved
  3. Optional portfolio, GitHub, or technical writing

 

Apply Now

Education + Experience + Salary

  • Education: Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, AI, or related field. Advanced degree (Master’s or Ph.D.) in NLP, ML, or AI is a plus but not mandatory. Hands-on LLM building experience is valued over formal credentials.
  • Experience: 10  Year
  • Annual CTC: 150000 to  220000

Country, State and City

  • United States
  • New York
  • Select City


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