Lead ML Engineer, LLMs & Agentic Systems (Remote, Equity)

NobleAI; Houston (TX); Remote; USD 190,000 - 205,000; Full time

Benefits offered by this job

Top-tier health benefits

Flexible paid time off

Remote-first with co-working access

401(k) with employer match

Equity package

Performance-based bonus plan

Job summary

NobleAI is building a next generation intelligent chemical informatics platform aimed at accelerating research and development through AI-powered data processing, visualization, and model building.

We seek a Lead Machine Learning Engineer specializing in conversational and agentic systems to architect, build, and deploy features across our VIP platform. You will design multi-agent dialogue, integrate tools via APIs, and drive RAG and MCP capabilities with cloud microservices.

Qualifications

• MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of hands‑on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP).
• Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures.
• Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow.
• Hands‑on experience with LLM agent frameworks for building complex, tool‑using applications, multi‑agent orchestration, or establishing MCP services for platform capabilities.
• Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB.
• Familiarity with techniques for fine‑tuning LLMs (e.g., LoRA/QLoRA) and experience working with open‑source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic).
• 5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe).
• Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles.
• Excellent communication skills with the ability to articulate complex technical ideas to both technical and non‑technical stakeholders.

Responsibilities

• Design domain specific AI systems and chatbots capable of complex dialogue management and workflow execution via tools, API calls and multi step tasks based on user goals, multi-agent orchestration.
• Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to support accuracy measurement for use cases
• Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models.
• Collaborate with product and software engineers to integrate the features into our platform.
• Establish prompt engineering and data management best practices for transparency and governance.
• Establish best practices for monitoring and evaluation of data and models across the model lifecycle (development, testing, and production)
• Keep a pulse on the latest advancements in NLP, LLMs, and agentic AI research, and act as a subject matter expert on architecture decisions on platform and use cases.

Skills

NLP expertise

Python programming

LLM frameworks

Multi-agent systems

Cloud microservices

Communication skills

Education

MSc/BS in CS or AI

Tools

PyTorch

TensorFlow

Pinecone

Weaviate

ChromaDB

OpenAI API

Anthropic API

Docker

Kubernetes

KFP

KServe

Job description

NobleAI is building a next generation intelligent chemical informatics platform aimed at accelerating research and development through AI-powered data processing, visualization, and model building.

We seek a Lead Machine Learning Engineer specializing in conversational and agentic systems to architect, build, and deploy features across our VIP platform. You will design multi-agent dialogue, integrate tools via APIs, and drive RAG and MCP capabilities with cloud microservices.