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Associate Ai Agent Developer Jobs in Colorado (NOW HIRING)

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$200K - $275K/yr

We're building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities. Our AI Engineers architect, build, and ...

Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation design, testing, and deployment. * Drive measurable improvements in agent performance through analysis ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$128K - $168K/yr

Our AI Engineers architect, build, and operationalize these systems at scale, pushing the ... Agent Advisor Copilot. Build a production-grade, multi-agent copilot for financial advisors that ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

... DevOps, and AI workloads. Must-Have Skills * Strong experience with AWS S3, Glue, Athena, and EMR ... Experience supporting AI agent runtime environments. * Experience with LangGraph and LangSmith ...

Showing results 21-40

Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Colorado?

The most popular types of Ai Agent Developer jobs in Colorado are:

What are popular job titles related to Associate Ai Agent Developer jobs in Colorado?

For Associate Ai Agent Developer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Associate Ai Agent Developer jobs in Colorado look for?

The top searched job categories for Associate Ai Agent Developer jobs in Colorado are:

What cities in Colorado are hiring for Associate Ai Agent Developer jobs?

Cities in Colorado with the most Associate Ai Agent Developer job openings:

Infographic showing various Associate Ai Agent Developer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI Engineering, TIFIN.ai

TIFIN

Boulder, CO • On-site

$200K - $275K/yr

Full-time

Re-posted 8 days ago


Job description

ROLE OVERVIEW

TIFIN.ai is the AI operating layer for the wealth enterprise, a platform offering an agent library to address workflows across operations, investments and growth. Our north star is delivering better wealth outcomes for more people. We're building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities. Our AI Engineers architect, build, and operationalize these systems at scale, pushing the boundaries of what agentic AI can do. We're hands-on engineers focused on shipping reliable, enterprise-ready agentic AI systems into production.

PROJECTS

  • Agent Advisor Copilot. Build a production-grade, multi-agent copilot for financial advisors that retrieves and reasons over client data using RAG and a persistent knowledge graph of clients and holdings, analyzes portfolio exposures and risk scenarios, generates personalized insights, enforces compliance guardrails, and drafts client-ready communications - all within a monitored, auditable architecture graded by automated evals and LLM-as-judge review.
  • Deep Research & Workflow Agents. Design end-to-end AI workflows spanning client discovery, investment research synthesis, portfolio construction and optimization, and compliant meeting preparation - powered by deep research agents that reason over live web and internal data in ReAct-style loops - replacing fragmented tools with intelligent, autonomous systems.
  • Agentic Infrastructure & Reasoning Stack. Architect a scalable multi-agent platform on LangGraph-style orchestration, with agent memory and state management, dynamic tool invocation, model fine-tuning pipelines, structured output validation, observability, fault tolerance, and automated evaluation - solving reliability, explainability, and regulatory challenges at scale.

WHAT YOU'LL DO

  • Design and implement production-grade multi-agent systems and ReAct-style reasoning loops using modern agent frameworks and orchestration engines (e.g., LangGraph, Pydantic AI, Agent Harness, Tool-Calling, Code Execution)
  • Build agent workflows that integrate RAG-based retrieval, agent memory, and knowledge graphs for grounded, long-horizon reasoning, fine-tuning models where prompting and retrieval alone fall short
  • Establish evaluation and benchmarking frameworks, including LLM-as-judge pipelines, for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness
  • Design and enforce AI governance - audit trails, guardrails, and human-in-the-loop checkpoints - appropriate to a regulated industry
  • Develop distributed agent services with strong observability and failure handling, and optimize latency, cost, and infrastructure decisions across model serving, vector/graph databases, and caching

WHAT YOU'LL BRING

  • 3+ years of experience building and shipping Generative AI and LLM applications into production, with demonstrated experience designing and deploying multi-agent systems, including LangGraph or comparable orchestration frameworks and ReAct-style deep-agent reasoning loops
  • Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning
  • Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments
  • Experience implementing evaluation frameworks, benchmarking, and LLM-as-judge pipelines, along with monitoring and reliability safeguards for AI systems
  • Strong systems thinking, an ability to design beyond single-model solutions toward coordinated, multi-component architectures
  • Resilience and adaptability, driven by a desire to build state-of-the-art AI that drives better wealth outcomes for more people

COMPENSATION RANGE

$200,000 - $275,000 USD, competitive and appropriate to experience level