AI/ML Engineer – LockedIn AI

Job Description

 Roles and Responsibilities: 

About LockedIn AI

LockedIn AI is a leading real-time AI interview and meeting copilot trusted by over 1 million users worldwide. We help candidates perform better in interviews, coding assessments, and professional conversations through advanced AI-powered assistance. Our mission is to build the most intelligent career preparation platform on the market.

We are now hiring an AI/ML Engineer to help design, build, and scale the machine learning systems powering our real-time AI copilot.

Role Overview

As an AI/ML Engineer at LockedIn AI, you will work across the entire machine learning lifecycle—from data preparation and model development to deployment, optimization, and production monitoring.

This is a full-stack ML role where you will:

• Build and fine-tune LLMs, NLP systems, and speech models
• Design real-time inference pipelines for low-latency AI
• Develop RAG systems and intelligent retrieval pipelines
• Deploy scalable ML systems in production environments
• Improve model performance through evaluation and experimentation

You will directly contribute to real-time AI features used by millions of users.

Key Responsibilities

1. Model Development & Training

• Build and fine-tune LLMs, NLP, and ML models
• Use techniques like LoRA, QLoRA, RLHF, and DPO
• Create high-quality training datasets and pipelines
• Run experiments and improve model performance

2. Production Deployment

• Build low-latency inference pipelines
• Deploy models using Docker and Kubernetes
• Integrate multiple LLM providers (OpenAI, Anthropic, etc.)
• Ensure reliability through fallback and scaling strategies

3. RAG & NLP Systems

• Build retrieval-augmented generation pipelines
• Develop embeddings and vector database solutions
• Improve semantic search and context understanding
• Design multi-step AI reasoning systems

4. Evaluation & Monitoring

• Build evaluation frameworks for model quality
• Monitor latency, accuracy, and hallucination rates
• Detect model drift and performance degradation
• Optimize cost and token usage across systems

5. Data Engineering

• Build scalable data pipelines for ML systems
• Maintain data versioning and experiment tracking
• Work with structured and unstructured data sources

Preferred Skills

• Experience with real-time AI systems
• Knowledge of RAG and vector databases
• Background in model optimization (quantization, distillation)
• Experience with agentic AI systems
• Startup or high-growth environment experience

What We Offer

• Competitive salary ($150K–$220K USD) + equity
• Remote-first work environment
• High-impact role with 1M+ users
• Fast-paced AI-native engineering culture
• Ownership of end-to-end ML systems
• Strong growth and learning opportunities

Why Join Us

At LockedIn AI, you’ll build production-grade AI systems that directly power real-time interview assistance for users worldwide. You won’t just research models—you’ll ship them at scale, optimize them, and see real-world impact immediately.

If you want to work at the frontier of applied AI, this is the place to do it.

How to Apply

Please submit:

 

• Resume/CV
• Short note on why you want to join LockedIn AI
• Optional: GitHub, portfolio, or ML projects

Education + Experience + Salary

• Education: Qualifications (Short) 3+ years experience in ML/AI engineering Strong Python skills with ML frameworks (PyTorch / TensorFlow / JAX) Experience building and deploying production AI/ML systems Solid understanding of LLMs, transformers, and deep learning Ex
• Experience: 3  Year
• Annual CTC: 150000 to  220000

Country, State and City

• United States
• New York
• New York