AI Engineer

ONE STOP COLLECTIBLE CORP

Boston, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

1 year minimum

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Databases Python (Programming Language) Cloud Services Software Safety Software Engineering TypeScript Large Language Models Multi-Agent Systems Caching

+6 more

Backend Information Technology Enterprise Integration Api Design Automation Anywhere Api Management

Job description

Architect and build LLM-powered systems - design retrieval workflows, context management, agent prompts, and structured output pipelines.
Orchestrate AI workflows using tools like LangChain, LlamaIndex, or similar frameworks, integrating them with product APIs and backend services.
Drive prompt engineering and iteration - refine prompts, templates, and context strategies to meet product quality and reliability goals.
Manage real-world evaluation metrics - measure usefulness, factual correctness, latency, and UX impact vs. classic accuracy alone.
Collaborate across functions - work closely with product, platform, and backend teams to ensure seamless integration.
Develop reliable, scalable deployments - focus on performance, cost efficiency, and observability in production environments.

Requirements

Experienced in building real LLM applications - you’ve shipped systems that use large models meaningfully.
Strong software engineering skills - Python/TypeScript, API design, backend integration, and cloud deployment.
Tool fluency - comfortable with RAG, vector databases (e.g., Pinecone/Weaviate), workflow frameworks (LangChain, Dust), and related tooling.
Architectural thinker - you can diagram end-to-end solutions incorporating context windows, caching strategies, tool calls, and multi-step reasoning.
Product-oriented - you care not just that the AI works, but that it delivers value safely and reliably to users., * 6+ years of software engineering experience, with at least 1+ year working building AI in production.
BS Degree in Computer Science or related field. Masters degree is a plus.
Demonstrated use of LLMs in production workflows or complex prototypes.
Strong coding ability in Python or equivalent; familiarity with backend frameworks and cloud services.
Experience with API integrations, database systems, and scalable architectures.
Experience with multi-modal models or multi-agent system design.
Familiarity with AI safety guardrails, hallucination mitigation, and structured output enforcement.
Knowledge of vector DBs, RAG architectures, and prompt lifecycle tooling.