| Description: |
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Job Overview
LockedIn AI is hiring an AI Automation Engineer to build and maintain production-grade AI pipelines using Python, LangChain, and LLM APIs. You will power real-time automation systems that support an AI interview copilot used by 1M+ users worldwide. This is a hands-on engineering role focused on building scalable, reliable, and intelligent backend systems that integrate LLMs into production workflows.
Role Summary
You will design and ship AI-driven automation systems that connect LLMs (OpenAI, Anthropic, open-source models) with backend services, APIs, and frontend experiences. Your work will directly impact real-time interview assistance, data processing pipelines, and AI-powered features.
Key Responsibilities
AI Pipeline Development (Python + LangChain)
Build LLM-based workflows using LangChain and LlamaIndex
Develop FastAPI services exposing AI capabilities
Design multi-step AI workflows using Airflow / Prefect / Temporal
Implement retries, caching, rate limiting, and cost optimization
LLM Integration (OpenAI / Anthropic / Open Source)
Integrate GPT-4o, Claude, and open-source models
Build prompt chains, structured outputs, and evaluation systems
Develop RAG pipelines using pgvector / Pinecone / Weaviate
Experiment with agent-based workflows and function calling
Data & API Systems
Build ETL pipelines for AI data processing
Connect APIs (Next.js frontend, PostgreSQL, Redis, WebSockets)
Monitor system health (latency, tokens, errors, cost usage)
Ensure reliability across data and AI pipelines
Infrastructure & Deployment
Deploy services using Docker and Kubernetes
Set up CI/CD pipelines (GitHub Actions)
Build testing frameworks for AI workflows
Maintain documentation and runbooks
Process Automation
Identify manual workflows and convert them into AI automation
Define system requirements and acceptance criteria
Measure impact: cost savings, time reduction, efficiency gains
Security & Privacy
Secure API keys and sensitive data
Implement encryption and access control systems
Ensure compliance with privacy-first AI design principles
Why Join LockedIn AI?
Build AI systems used by 1M+ users globally
Work on real-time production LLM pipelines
Fast-paced AI-native engineering environment
High ownership and end-to-end responsibility
Direct impact on core AI product infrastructure
How to Apply
Submit:
Resume / CV
Short note explaining:
Why you want to join LockedIn AI
Whether you have used the product
Suggested improvements
Optional: GitHub, projects, or technical writing |
| Qualifications/Requirements: |
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Required Qualifications
3+ years Python backend engineering experience
1+ year experience with LLM APIs (OpenAI / Anthropic / similar)
Experience with FastAPI, Flask, or Django
Experience with RAG systems and vector databases
Familiarity with workflow tools (Airflow, Prefect, Temporal)
Experience deploying production services in cloud environments
Tech Stack
Python (primary), optional TypeScript
LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK
FastAPI, REST APIs, WebSockets
Airflow / Prefect / Temporal
PostgreSQL, Redis, pgvector / Pinecone
Docker, Kubernetes, GitHub Actions
Datadog, Grafana, Prometheus
Preferred Qualifications
Experience building AI agents or tool-use systems
Real-time speech or audio processing experience
LLM evaluation frameworks (RAGAS, promptfoo)
Frontend familiarity (React / Next.js)
Open-source AI contributions
Startup or early-stage company experience |
