Senior AI/ML Engineer – Agentic AI Systems (Remote/Hybrid)

Job description

Senior AI/ML Engineer – Agentic AI Systems (Remote/Hybrid) | $200K–$500K (Depending on Skill Level) Build the Future of Intelligent Agents

We’re a fast-scaling AI startup backed by $47M in Series B funding, building the next generation of autonomous AI agents that can reason, plan, and execute multi-step tasks at scale. Our platform is reshaping what’s possible in real-world, production-grade AI.

We’re looking for a Senior AI/ML Engineer who thrives at the intersection of LLMs, infrastructure, and intelligent behavior design. You’ll help architect and deploy cutting-edge agentic systems leveraging OpenAI, LangChain, CrewAI, RAG pipelines, and emerging tools in the LLM ecosystem.

This is a remote-first position with hybrid flexibility in major tech hubs (San Francisco, NYC, Seattle, Boston, LA, Austin, Boulder, Denver, San Jose).

What You’ll Be Working On

• Architect intelligent agent workflows using advanced planning, memory, and tool interaction.
• Build and deploy LLM-powered pipelines using models like GPT-4o, Claude 3, Mistral, Mixtral, or fine-tuned OSS models.
• Implement and optimize retrieval-augmented generation (RAG) systems using Pinecone, Weaviate, Chroma, or Qdrant.
• Work with LangGraph, CrewAI, AutoGen, Semantic Kernel, and other orchestration tools to evolve agent behavior.
• Tune for inference efficiency, cost, and accuracy across high-load environments.
• Collaborate closely with infra, research, and product teams on scalable, production-ready AI features.
• Contribute to agent evaluation and observability frameworks using automated testing and RLHF signals.
• Stay sharp on the bleeding edge of open-source models, emerging LLM techniques, and agent architectures.

What We’re Looking For

• 5+ years of experience in AI/ML engineering, with production-grade ML deployments.
• Deep knowledge of transformer-based LLMs, tokenization, embeddings, context management, and prompt engineering.
• Hands-on experience with LangChain, Hugging Face, OpenAI API, Anthropic, LlamaIndex, or similar toolkits.
• Strong Python engineering skills; comfort with data tools like SQL, Spark, Airflow, or distributed processing pipelines.
• Experience with vector databases, semantic search, and RAG design.
• Skilled in PyTorch, TensorFlow, or JAX.
• Proven ability to evaluate, fine-tune, and optimize LLMs for downstream tasks.
• Familiar with containerized ML infra (Docker, K8s), CI/CD for ML, and cloud providers (AWS, GCP, Azure).
• Solid understanding of observability, monitoring, and performance profiling for ML systems.

Bonus / Preferred Skills (Targeting $250K–$500K+ Tier)

• Experience with autonomous agents, long-term memory systems, or multi-agent orchestration.
• Reinforcement learning (especially RLHF, planning agents, or curriculum learning approaches).
• Advanced LLM evaluation tooling (e.g., TruLens, Ragas, PromptLayer, LLM Guardrails).
• Familiarity with real-time inference, multi-modal AI (vision + text), or speech agents.
• Knowledge of serverless AI infra, GPU optimization, or distributed training setups.
• Contributions to open-source LLM/agent projects or published work in AI/ML/LLM research.

Work Environment

• Remote-first culture across U.S. time zones, async-friendly and low-meeting by design.
• Optional hybrid offices in: San Francisco, San Jose, NYC, Austin, Seattle, Boston, Los Angeles, Denver, Boulder.
• Compensation: $200K–$500K base + significant equity ownership.
• High-impact opportunity: influence how future AI agents learn, adapt, and work with humans.

Why Join Us?

We’re at the frontier of AI systems becoming collaborative teammates—not just tools. If you’re motivated by technical depth, creative autonomy, and building intelligent software with lasting impact, you’ll be working alongside a world-class team at just the right time in the AI wave.

Job Type: Full-time

Pay: $170,000.00 - $400,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

Compensation Package:

• Bonus opportunities
• Performance bonus

Work Location: Remote

Job Type: Full-time

Pay: $170,000.00 - $400,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

Work Location: Remote