Applied AI Engineer
Atomicwork- Location
- US
- Workplace
- Onsite
- Employment
- Full Time
- Salary
- —
Posted 3mo ago
We’re looking for an Applied AI Engineer to join our Engineering team to design, build, evaluate, and deploy intelligent AI systems that power enterprise workflows, autonomous assistants, and machine-assisted task automation. This role is based out of our US office and comes with competitive pay and practical benefits for you and your family.
We’re looking for strong problem solvers who’ve shipped impactful AI-driven functionality before and can scale our platform intelligence with quality and ownership.
What you'll do — responsibilities
- Design, build, and fine-tune transformer-based and retrieval-augmented models for natural language understanding, intent classification, summarization, and context-aware reasoning.
- Develop AI components that power automated knowledge search, semantic retrieval, agentic task orchestration, and conversational assistants.
- Integrate AI systems with production data pipelines in a scalable and secure way.
- Build evaluation pipelines, define metrics, and establish performance and reliability benchmarks for AI features.
- Collaborate with engineering, data, and product teams to productize models with observability, monitoring, and continuous improvement.
- Participate in code reviews, architecture discussions, and cross-team problem solving.
- Take end-to-end ownership of features — from problem definition to deployment and performance monitoring.
What we’re looking for (qualifications)
- Strong programming experience in Python and familiarity with ML/AI frameworks like PyTorch or TensorFlow.
- Hands-on experience with transformer-based models (LLMs), embeddings, vector search, and retrieval augmentation.
- Experience building or integrating semantic search, RAG, or multi-agent workflows.
- Demonstrated ability to build reliable ML/AI systems in production environments.
- Understanding of scalable backend systems, cloud infrastructure, and model serving techniques.
- Good software engineering practices: clean code, testing, version control (Git), and collaboration.
- Curious mindset, product empathy, and willingness to learn new technologies quickly.
- We don’t require specific degrees — practical skills, curiosity, and ownership matter most.
Why we are different (culture)
As part of Atomicwork, you can shape our company and business from idea to production. Our cultural values set the bar high and help us create a better workplace for everyone.
Agency
Be self-directed and take initiative.
Taste
Hold a high bar — sweat the details and build with care.
Ownership
Take full responsibility for wins and setbacks.
Mastery
Commit to continuous learning and improvement.
Impatience
Move with urgency towards outcomes.
Customer Obsession
Put customer value at the heart of every decision.
Important notice for candidates
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork.
- Only apply through official Atomicwork channels. We do not use third-party agencies or individuals who ask for payments in exchange for interviews or offer letters.
- Always double-check the emails you receive. Make sure all communication is being done through official Atomicwork email addresses. (@atomicwork)
- Atomicwork will never ask for payment or personal financial information during the hiring process. If anyone asks you for money or financial details claiming to represent Atomicwork, please treat it as a scam and report it immediately.
By submitting your application, you confirm that all information provided by you is accurate and complete to the best of your knowledge. Any false or misleading information may result in disqualification from the hiring process or withdrawal of an offer. Your personal data will be processed in accordance with Atomicwork’s privacy and recruitment policies.
Skills
- Python
- PyTorch
- TensorFlow
- LLMs
- Embeddings
- Vector Search
- RAG
- Semantic Search
- Multi-agent workflows
- Git
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