AI & AutomationFull-Time / RemoteRemote (Worldwide)

AI Systems & LLM Engineer

Design and deploy state-of-the-art cognitive agents, hybrid vector retrieval (RAG), and asynchronous task queues.

Compensation:$130,000 - $175,000 + Equity Options

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The Mission & Role Impact

At Astraiv Technologies, we reject bloated corporate committees and endless synchronous alignment meetings. As our AI Systems & LLM Engineer, you will possess end-to-end ownership of critical technical foundations, working asynchronously with senior peers to deploy battle-tested digital infrastructure.

Key Architectural Responsibilities

Architect and deploy multi-agent cognitive pipelines, contextual RAG systems, and autonomous task swarms.

Develop high-throughput asynchronous inference APIs using Python, FastAPI, Redis, and Celery.

Implement hybrid search engines combining dense vector embeddings (Pinecone, pgvector) with BM25 keyword rankings.

Optimize token efficiency, latency budgets, and caching layers across open-source and proprietary foundation models.

Establish automated model evaluation frameworks, regression benchmarks, and hallucination guardrails.

Technical Qualifications

3+ years of hands-on experience building production AI, ML, or NLP applications.

Strong programming proficiency in Python, modern async programming, and typed APIs.

Demonstrated experience with embedding models, vector databases (Qdrant, Milvus, pgvector), and retrieval techniques.

Practical understanding of LLM fine-tuning, prompt optimization, and agentic orchestration architectures.

Solid foundations in system architecture, Docker containerization, and cloud deployment.

Core Technology Stack

PythonFastAPILangChainVector DBsPyTorchAgentic Workflows

Bonus / Nice-to-Have Background

Contributions to open-source AI frameworks or published research in retrieval or agent architectures.
Experience with local model deployment using vLLM, TensorRT-LLM, or Ollama.
Knowledge of enterprise compliance standards (SOC-2, HIPAA) for AI data processing.

What We Offer & Engineering Culture

Dedicated cloud compute credits and high-end workstation access for experiments.

100% remote-first autonomy with async-first collaboration.

Competitive salary with generous equity grant.

Comprehensive healthcare, dental, and wellness coverage.

Generous parental leave and flexible paid vacation.

Hiring Roadmap

Transparent 4-Stage Interview Process

Fast, respectful, and zero algorithmic trick questions. We respect your time.

Stage 01

Profile & Architecture Review

Our senior architects review your GitHub, past system implementations, and RFCs within 48 business hours.

Stage 02

Technical & Systems Discussion

A 45-minute deep-dive with our engineering founders into real-world architecture trade-offs, concurrency, and reliability.

Stage 03

Practical System Design Exercise

A scoped, paid system design discussion or take-home RFC tailored to your specialty. No inverted binary trees on whiteboards.

Stage 04

Mutual Offer & Onboarding

Transparent compensation offer, equity allocation, home workstation budget setup, and seamless async onboarding.

Direct Application

Apply for AI Systems & LLM Engineer

Reviewed directly by senior engineering architects within 48 business hours. No third-party recruiter filters.

Role Overview

DepartmentAI & Automation

Work ModalityFull-Time / Remote

LocationRemote (Worldwide)

Experience Level3+ Years

Compensation$130,000 - $175,000 + Equity Options

Apply Now

The Astraiv Standard

Why Engineers Love Building Here

No pointless meetings. We communicate via written RFCs and async specs.
Work from anywhere in the world on modern, strictly typed tech stacks.
Rapid two-week sprint cadences with zero red tape and direct founder access.

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We offer a $2,500 referral bonus for successfully placed senior engineers and architects.

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