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Full Time Langchain Developer Jobs in Utah (NOW HIRING)

Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • ... LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • ...

Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • ... LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • ...

Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • ... LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • ...

Full Time Langchain Developer information

What are some of the main challenges a Full Time Langchain Developer might face when integrating large language models with external data sources?

A Full Time Langchain Developer often encounters challenges such as ensuring seamless and secure integration between language models and various APIs or databases. Handling data privacy, managing latency, and maintaining the accuracy of responses when fetching or updating information from external sources are common concerns. Additionally, developers must continuously monitor and optimize prompt engineering to improve model performance and adapt to evolving project requirements. Collaboration with data engineers and product teams is also essential to address these integration complexities effectively.

What is a Full Time Langchain Developer?

A Full Time Langchain Developer is a software engineer who specializes in building applications and solutions using LangChain, an open-source framework designed to facilitate the development of applications powered by large language models (LLMs). Their responsibilities typically include integrating language models with external data sources, creating conversational agents, and automating workflows that leverage AI. Working full time means they dedicate their primary professional hours to designing, coding, testing, and maintaining LangChain-based systems. This role often requires expertise in Python, familiarity with LLMs, and understanding of prompt engineering.

What are the key skills and qualifications needed to thrive as a Full Time Langchain Developer, and why are they important?

To thrive as a Full Time Langchain Developer, you need a solid background in Python programming, experience with large language models (LLMs), and familiarity with software engineering best practices. Proficiency in using the Langchain framework, APIs, cloud platforms, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills make a candidate stand out in this role. These skills and qualities are crucial for building scalable, reliable AI-driven applications and collaborating efficiently within technical teams.
What are the most commonly searched types of Langchain Developer jobs in Utah? The most popular types of Langchain Developer jobs in Utah are:
What are popular job titles related to Full Time Langchain Developer jobs in Utah? For Full Time Langchain Developer jobs in Utah, the most frequently searched job titles are:
Infographic showing various Full Time Langchain Developer job openings in Utah as of July 2026, with employment types broken down into 87% Full Time, 2% Part Time, 1% Temporary, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

AI Engineer

System One

Salt Lake City, UT • On-site

Full-time

Re-posted 23 days ago


Job description

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills

Ref: #404-IT Pittsburgh