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Overnight Ai Agent Developer Jobs in Colorado (NOW HIRING)

TIFIN

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 ...

Checkr

AI Conversation Designer

Denver, CO

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 ...

3coresystems

Agentic AI Platform Engineer

Denver, CO · Hybrid

SAP and ServiceNow AI\/agent exposure as a plus \n Key Responsibilities \n \n * Design, develop, and productionize AI applications, AI agents, and agentic workflows. \n * Transform AI proofs of ...

TIFIN

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 ...

Pyramid Consulting, Inc

AI/LLM Engineers

Denver, CO · On-site

... with LLMs -- prompt engineering, agent frameworks, tool-use patterns, or RAG systems. • ... pipelines, and AI agent workflows. • Strong written and verbal communication skills. • ...

TIFIN

AI Engineering Intern, TIFIN.ai

Boulder, CO · On-site

$17 - $25/hr

Build real-world AI systems and agent workflows used by leading financial institutions-while learning how to ship production-grade AI from day one. You're paired with an AI Engineering leader and ...

Eliassen Group

AI Software Engineer

Greenwood Village, CO · On-site

$50 - $56/hr

The role centers on applied AI and software engineering, including AI agents, MCP servers, context ... Develop APIs and backend services that power agent workflows and connect to internal platforms.

Pwc

AI Engineer

Denver, CO

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Motif India Infotech

AI Architect

Englewood, CO · On-site

Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering ... agent-to-agent communication Own the architectural decisions that govern how AI outputs are ...

TTEC

AI Architect

Englewood, CO

Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering ... agent-to-agent communication Own the architectural decisions that govern how AI outputs are ...

TTEC

AI Architect

Englewood, CO · On-site

Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering ... agent-to-agent communication • Own the architectural decisions that govern how AI outputs are ...

Weld County

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Programming & Scripting: Proficiency in Python for automation, API integration, prompt engineering, and agent logic development. Familiarity with JavaScript or PowerShell is a plus. * Cloud & AI ...

Weld County

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Programming & Scripting: Proficiency in Python for automation, API integration, prompt engineering, and agent logic development. Familiarity with JavaScript or PowerShell is a plus. * Cloud & AI ...

Themesoft, Inc.

Lead Data Scientist

Denver, CO · On-site

... engineers and architects while providing technical leadership Skill and Experience Agentic AI & Generative AI • Multi-agent systems and autonomous AI agents • LangChain • LlamaIndex • ...

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All JobsAi Agent Developer JobsOvernight Ai Agent Developer JobsOvernight Ai Agent Developer Jobs in Colorado

Overnight Ai Agent Developer information

What is the difference between Overnight Ai Agent Developer vs Chatbot Developer?

AspectOvernight Ai Agent DeveloperChatbot Developer
CredentialsTypically requires AI/machine learning certifications, programming skillsOften requires programming knowledge, UX/UI design experience
Work EnvironmentFocuses on AI models, backend development, often in tech or AI firmsDesigns conversational interfaces, may work in customer service or tech companies
Industry UsageUsed in AI-driven automation, virtual assistants, and intelligent agentsUsed in customer support, marketing, and simple automation

Overnight Ai Agent Developers focus on creating advanced AI-powered agents that operate around the clock, often involving complex machine learning models. Chatbot Developers typically design conversational interfaces for customer interaction. While both roles involve AI and programming, Overnight Ai Agent Developers work on more sophisticated, backend AI systems, whereas Chatbot Developers focus on user-facing chat interfaces.

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Overnight Ai Agent Developer jobs near you

AI Engineering, TIFIN.ai

TIFIN

Boulder, CO • On-site

$200K - $275K/yr

Full-time

Re-posted 18 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

Apply