AI Engineer
Overview
You will own the design and deployment of production AI systems, specifically focusing on NLP and LLMs within a regulated environment. You will join a team of engineers and data scientists, building on a successful track record of delivering AI solutions. Your work will directly impact the firm's compliance and operational efficiency, requiring close collaboration with product and legal teams.
What You'll Do7
- 1Design and implement RAG pipelines for domain-specific question answering, ensuring accuracy and low latency.
- 2Build and deploy LLM-based features into production, handling versioning, monitoring, and rollback.
- 3Develop evaluation frameworks to benchmark model performance against business metrics and regulatory requirements.
- 4Collaborate with engineers to integrate AI models with existing backend services, using Python and FastAPI.
- 5Drive the adoption of multimodal AI for document understanding, combining text, image, and layout signals.
- 6Lead code reviews and mentor junior engineers on ML best practices.
- 7Ship a first major feature within 90 days, such as an automated contract review tool.
Requirements8
- 18+ years in software engineering or machine learning, with a focus on production systems.
- 2Proven experience deploying AI/ML models in production, including LLMs and RAG.
- 3Strong expertise in NLP, LLMs, and model evaluation.
- 4Experience in regulated industries (finance, legal, healthcare) is a strong plus.
- 5Familiarity with multimodal AI (text + image + layout).
- 6Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- 7Hands-on experience with cloud platforms like AWS or GCP.
- 8Excellent problem-solving and communication skills.
Salary Insight
Salary not disclosed in listing
Similar open positions
Explore active roles that match your skills and interests.
Wise Skulls Corp.
VerifiedAI Engineer (LLM Agents & Data Engineering)
Lead design and delivery of AI solutions that scale across multiple platforms. Own the end-to-end pipeline from concept to production while driving innovation in large language models. This role shapes how our systems learn and adapt.
Rapsys Technologies
VerifiedAI/ML Engineer AWS LLM Systems
You will own the design and delivery of AI/ML and LLM-based systems for a high-traffic enterprise platform. You will join a collaborative team of engineers and data scientists in Charlotte, NC, working on mission-critical features. This contract role offers the chance to shape production AI infrastructure from day one. You will build with Python, FastAPI, AWS, and React to drive real business impact.
Apex Systems
VerifiedAI Engineer - LLMs, Agentic Systems & GenAI
An AI Engineer builds and deploys generative AI and agentic systems at scale. You will design, build, and deploy scalable solutions in cloud and distributed environments, leveraging LLMs and prompt engineering to solve challenges. As part of a collaborative team, you will work with large, text-based datasets to drive innovation. This role offers the autonomy to own technical decisions while working fully remote with occasional travel to Washington, D.C.
Cynet Systems
VerifiedSenior AI Engineer, LLM & RAG Systems
You will own the design and deployment of AI-powered backend systems for a client in Woodland Hills, CA, operating at enterprise scale. You will build on a foundation of Python expertise, integrating LLMs, RAG architectures, and vector databases to deliver production-grade applications. You will collaborate with a small team of engineers and data scientists to solve complex problems. This contract role offers the chance to shape the AI infrastructure from the ground up, with direct impact on business outcomes.
TechniPros, LLC
VerifiedGenerative AI Engineer, LLM & RAG Systems
You will own the design and delivery of GenAI prototypes and workflows at enterprise scale across financial services. You will join the Business Support team, reporting to the AI Engineering lead. You will research emerging AI technologies, build LLM-based solutions, and benchmark models to drive adoption. 3+ years of hands-on Python and GenAI experience is required. This role offers direct collaboration with engineering teams to ship production-ready AI innovations.
QUANTUM TECHNOLOGIES LLC
VerifiedAI/ML Engineer, LLM & Agentic Systems
You will architect and ship production-grade LLM applications and RAG pipelines in a 10-month contract for a Boston-area client. You will design multi-agent frameworks with LangChain or AutoGen, optimize retrieval with Pinecone or Weaviate, and deploy models on AWS or Azure. You will work with a tight team of engineers, integrating your agents with Kubernetes and Docker. This role demands 80% coding and 20% strategy, with direct ownership of the AI roadmap.