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Python Developer Jobs in Lafayette, CO (NOW HIRING)

TIFIN

AI Engineering

Boulder, CO

$200K - $275K/yr

Our AI Engineers architect, build, and operationalize these systems at scale, pushing the ... Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP ...

New

Auria

DevSecOps Engineer

Boulder, CO · Hybrid

$140K - $160K/yr

S. Citizenship)  Strong programming skills in Bash, YAML, Python, PowerShell, and AzureCLI  * Experience using Forge * Experience using GitLab, Ansible, Terraform, Nexus, and Jenkins 

Congruex

GIS Developer

Boulder, CO · Remote

$30 - $45/hr

Job Summary: As the GIS Developer , you will ultimately be responsible for developing and ... Develop and maintain GIS automation scripts and workflows using Python, ArcPy, ArcGIS Python API ...

Congruex

GIS Developer

Boulder, CO · On-site

$30 - $45/hr

Job Summary: As the GIS Developer , you will ultimately be responsible for developing and ... Develop and maintain GIS automation scripts and workflows using Python, ArcPy, ArcGIS Python API ...

Congruex

GIS Developer

Denver, CO · On-site

Job Summary: As the GIS Developer , you will ultimately be responsible for developing and ... Develop and maintain GIS automation scripts and workflows using Python, ArcPy, ArcGIS Python API ...

Auria

DevSecOps Engineer

Boulder, CO · On-site

$140K - $160K/yr

Citizenship) Strong programming skills in Bash, YAML, Python, PowerShell, and AzureCLI * Experience using Forge * Experience using GitLab, Ansible, Terraform, Nexus, and Jenkins * Experience using ...

Quantix

DevOps Engineer

Denver, CO · On-site

$54.25 - $74.25/hr

They are seeking a DevOps Engineer to work on configuration management and software deployment ... Required : • Chef, Puppet, or Ansible. • Scripting (Powershell, Python). • Windows ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Glow Networks

API Developer

Denver, CO · On-site

Javascript/Typescript, Python * Integration testing, end-to-end testing, and unit testing * Functional Programming with Effect-TS * Git, CI/CD * AWS (EKS, VPC, EC2, S3, Cassandra/Keyspaces, ELB ...

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All JobsPython Developer JobsPython Developer Jobs in Lafayette, CO

Python Developer information

See Lafayette, CO salary details

$13

$61

$89

How much do python developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for python developer in Lafayette, CO is $61.04, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $69.33 per hour, depending on experience, location, and employer.

What are some common challenges Python Developers face when working on large-scale projects?

Python Developers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring consistent code style among team members, and optimizing application performance. Collaboration with other developers becomes essential, often requiring the use of version control systems and code review processes. Additionally, integrating Python code with other technologies or legacy systems can present unique compatibility and testing hurdles. Proactively adopting best practices like modular architecture and thorough documentation can help mitigate these issues.

What Does a Python Developer Do?

As a Python developer, your job is to use the Python programming language to develop, implement, and debug a project. In this role, you may create an application for your employer, design the framework for your code, build tools as necessary to get the job done, create websites, or publish new services. Python developers often work with data collection and analytics to create useful answers to questions and provide insight where it's needed most. Like most programming positions, the specifics of this job vary based on the needs of your employer. Some Python developers work as independent contractors instead of being exclusive to one company.

What is the difference between Python Developer vs Java Developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automation, scriptingEnterprise applications, Android development, backend systems
Industry UsageTech startups, data companies, automation firmsFinancial services, enterprise software, mobile app companies
Common Search/ComparisonOften compared for backend and scripting rolesCompared for enterprise and mobile app development

Python Developers and Java Developers share similar educational backgrounds and often work in backend environments. However, Python is favored for data science, scripting, and rapid development, while Java is preferred for large-scale enterprise applications and Android development. Both roles are highly sought after, but their industry focus and project types differ.

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

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and knowledge of databases and cloud services are commonly required. Problem-solving ability, attention to detail, and effective communication help developers collaborate and deliver high-quality code. These skills and qualities are vital to building efficient, scalable software solutions and contributing effectively to development teams.

What does a Python Developer do?

A Python Developer designs, codes, and maintains software applications using the Python programming language. They often work on web applications, data analysis, automation scripts, and more. Their responsibilities can include writing and testing code, debugging programs, integrating third-party services, and collaborating with other developers and stakeholders. Python Developers are valued for their ability to create efficient, scalable, and readable code. They may also be involved in deploying applications and maintaining technical documentation.
More about Python Developer jobs
What job categories do people searching Python Developer jobs in Lafayette, CO look for? The top searched job categories for Python Developer jobs in Lafayette, CO are:
What cities near Lafayette, CO are hiring for Python Developer jobs? Cities near Lafayette, CO with the most Python Developer job openings:
Python Developer jobs near you
Infographic showing various Python Developer job openings in Lafayette, CO as of July 2026, with employment types broken down into 82% Full Time, 8% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $126,954 per year, or $61 per hour.
AI Engineering

AI Engineering

TIFIN

Boulder, CO

$200K - $275K/yr

Other

Posted 2 days ago

New

Job description

ROLE OVERVIEW

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

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