python engineer

Mindrift

<div>
 <em>
  Please submit your CV in English and indicate your level of English proficiency.
  <br/>
  <br/>
 </em>
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 <strong>
  Participation is project-based, not permanent employment.
  <br/>
  <br/>
 </strong>
 <strong>
  What This Opportunity Involves
  <br/>
  <br/>
 </strong>
 Frontier coding agents are already good at passing tests. We measure whether they pass them
 <em>
  the right way
 </em>
 .We're building a dataset to evaluate the safety and conduct of AI coding agents &mdash; not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.You'll design tasks where the easy path is the unsafe one, and write the tests that catch it:
 <br/>
 <br/>
 <ul>
  <li>
   Build realistic developer environments &mdash; a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
  </li>
  <li>
   Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes
  </li>
  <li>
   Write tests that verify whether the agent completed the task the right way &mdash; catching corners cut, not just checking outputs
  </li>
  <li>
   Iterate on tasks and tests based on QA feedback &mdash; review agent solutions, analyze failures, and refine until the evaluation is fair and robust
   <br/>
   <br/>
  </li>
 </ul>
 What this is
 <strong>
  NOT:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Not data labeling;
  </li>
  <li>
   Not prompt engineering;
  </li>
  <li>
   Not cybersecurity or red-teaming &mdash; there is no attacker in the scenario. Cybersecurity experience is a nice-to-have but not a requirement. We're looking for engineers who understand how code should behave, not penetration testers. Strong software engineers, not security specialists;
  </li>
  <li>
   Not writing code from scratch &mdash; the agent writes most of the code; you design the situation and evaluate the outcome;
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4-5+ years in software development;
  </li>
  <li>
   Core stack: Python, JavaScript/TypeScript;
  </li>
  <li>
   Strong test design skills &mdash; functional and integration tests that separate safe from unsafe completion, not just correct from incorrect;
  </li>
  <li>
   Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar);
  </li>
  <li>
   Familiarity with GitHub PRs and CI workflows as a user;
  </li>
  <li>
   Stack breadth is welcome, not a filter. Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful &mdash; but you don't need to be an expert in every layer;
  </li>
  <li>
   English proficiency &mdash; B2+
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why this is hard
  <br/>
  <br/>
 </strong>
 Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. The real difficulty is building the
 <em>
  temptation
 </em>
 &mdash; a scenario where the unsafe or out-of-scope path is the path of least resistance &mdash; and then writing tests that reliably catch an agent that took it. Tasks have many valid solutions; tests must accept all of them and reject the bad ones.
 <br/>
 <br/>
 <strong>
  How It Works
  <br/>
  <br/>
 </strong>
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 <br/>
 <br/>
 <strong>
  Project time expectations
  <br/>
  <br/>
 </strong>
 For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 On this project, contributors can earn up to
 <strong>
  $75 per hour equivalent
 </strong>
 , depending on their level and pace of contribution.
 <br/>
 <br/>
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>


Python Engineer - Freelance AI Trainer

Intellias

<div>
 <p>
  <strong>
   Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We are looking for a
  <strong>
   Senior Python Engineer
  </strong>
  to design and build enterprise-grade
  <strong>
   multi-agent AI systems
  </strong>
  on AWS. In this role, you will architect and develop intelligent agent solutions using
  <strong>
   LangGraph
  </strong>
  ,
  <strong>
   LangChain
  </strong>
  , and
  <strong>
   AWS Bedrock AgentCore Runtime
  </strong>
  , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 </p>
 <p>
  You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Overview
  </strong>
 </p>
 <p>
  Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 </p>
 <p>
  Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 </p>
 <p>
  As a
  <strong>
   Senior Python Engineer
  </strong>
  , you will join the
  <strong>
   Core Architecture Team
  </strong>
  , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 </p>
 <p>
  The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
  </li>
  <li>
   Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
  </li>
  <li>
   Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
  </li>
  <li>
   Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
  </li>
  <li>
   Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
  </li>
  <li>
   Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
  </li>
  <li>
   Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
  </li>
  <li>
   Implement memory, context management, and persistence strategies for AI agents.
  </li>
  <li>
   Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
  </li>
  <li>
   Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
  </li>
  <li>
   Define engineering standards, testing strategies, and operational best practices for agent-based applications.
  </li>
  <li>
   Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
  </li>
 </ul>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in computer science, Software Engineering, or a related field.
  </li>
  <li>
   5+ years of professional Python software engineering experience.
  </li>
  <li>
   Hands-on experience building multi-step agent workflows with LangGraph.
  </li>
  <li>
   Strong experience with LangChain.
  </li>
  <li>
   Experience with AWS Bedrock AgentCore Runtime.
  </li>
  <li>
   Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
  </li>
  <li>
   Experience implementing LangGraph checkpointing and state management.
  </li>
  <li>
   Knowledge of Human-in-the-Loop (HITL) workflow design.
  </li>
  <li>
   Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
  </li>
  <li>
   Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
  </li>
  <li>
   Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
  </li>
  <li>
   Experience building scalable, cloud-native applications on AWS.
  </li>
  <li>
   Strong problem-solving, communication, and collaboration skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
  </li>
  <li>
   Hands-on experience with AWS Bedrock Memory API.
  </li>
  <li>
   Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
  </li>
  <li>
   Experience with AI observability, monitoring, and production operations.
  </li>
  <li>
   Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us
  </strong>
 </p>
 <ul>
  <li>
   Work on enterprise-scale AI initiatives for a global industry leader.
  </li>
  <li>
   Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
  </li>
  <li>
   Influence architecture decisions and engineering best practices across large-scale platforms.
  </li>
  <li>
   Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
  </li>
  <li>
   Opportunity to shape the future of enterprise AI orchestration in production environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

EPAM Systems

<div>
 <p>
  <strong>
   About us
  </strong>
 </p>
 <p>
  EPAM Systems is a leading global provider of digital platform engineering and software development services. Founded in 1993 and headquartered in Newtown, Pennsylvania, EPAM has been helping clients navigate digital transformation for over 30 years, delivering innovative solutions to stay competitive in constantly evolving markets.
 </p>
 <p>
  As consultants, designers, architects, engineers and trainers, at EPAM, we specialize in building long-term partnerships, enabling businesses to reimagine themselves through a digital lens. In Saudi Arabia, EPAM operates in Riyadh and Al Khobar, offering cutting-edge engineering, strategy, design, consulting, and innovation services across industries.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  We're looking for a
  <strong>
   Python AI Engineer
  </strong>
  to join our team in Al Khobar, Saudi Arabia, in an on-site working mode. This role focuses on developing production-ready AI/ML solutions and transforming AI prototypes into scalable backend applications. You will drive impactful solutions for enterprise clients through robust Python backend development, seamless system integration and close collaboration with cross-functional teams.
 </p>
 <p>
  The deadline for submission is 17/09/2026.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and develop Python backend services for AI/ML applications
  </li>
  <li>
   Build and integrate APIs, ML models, LLM components, RAG pipelines, databases and external systems
  </li>
  <li>
   Collaborate with data scientists, engineers, architects and stakeholders to move prototypes into production
  </li>
  <li>
   Ensure code quality, performance, reliability, testing and maintainability
  </li>
  <li>
   Support deployment, monitoring, debugging and continuous improvement of AI/ML services
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Strong Python development experience
  </li>
  <li>
   Backend skills with FastAPI, Flask or Django
  </li>
  <li>
   Experience with REST APIs, databases, Docker, Git and CI/CD basics
  </li>
  <li>
   Practical understanding of ML/AI concepts, model inference and data processing
  </li>
  <li>
   Experience integrating ML models or LLM components into backend systems
  </li>
  <li>
   Ability to work independently with partially defined requirements
  </li>
  <li>
   Familiarity with AI coding tools like Claude, Cursor and Git Copilot
  </li>
  <li>
   Fluent English communication skills (B2 level or higher)
  </li>
  <li>
   Academic degree in Computer Science, Software Engineering or a related field
  </li>
  <li>
   Valid SCE (Saudi Council of Engineers) certificate (with IT related discipline) is required for this position
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Experience with LLMs, RAG, embeddings, vector databases, LangChain, LlamaIndex and OpenAI/Azure OpenAI
  </li>
  <li>
   Knowledge of cloud platforms, Kubernetes/OpenShift, message queues or MLOps tools
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   We offer
  </strong>
 </p>
 <ul>
  <li>
   General Organization for Social Insurance (GOSI)
  </li>
  <li>
   Private healthcare and life insurance
  </li>
  <li>
   End of service gratuity
  </li>
  <li>
   Annual air travel allowance for expatriates
  </li>
  <li>
   Corporate Programs including Employee Referral Program with rewards
  </li>
  <li>
   Learning and development opportunities including in-house training and coaching, professional certifications, and courses
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Nature of Work and Working Hours
  </strong>
 </p>
 <p>
  The usual working hours for full-time roles at EPAM in Saudi Arabia are from 9:00 AM to 6:00 PM, including a one-hour unpaid lunch break. Working hours may vary based on client requirements and flexibility is accommodated whenever possible.
 </p>
 <p>
  <strong>
   Our Locations in Saudi Arabia
  </strong>
 </p>
 <p>
  <strong>
   Riyadh
  </strong>
  - Moon Tower, Mezzanine Floor, King Fahed Branch Road, AR Rahmaniyah, Riyadh, Saudi Arabia
 </p>
 <p>
  <strong>
   Al Khobar
  </strong>
  - 21st Floor, Khobar Gate Tower, Al Bandariyah District, King Fahd Road, Al Khobar, Saudi Arabia
 </p>
 <p>
  <strong>
   How to Apply, Recruitment Process and Deadline
  </strong>
 </p>
 <p>
  If you meet the requirements and are eager to join EPAM, simply submit your application online by clicking on "apply&rdquo; and providing your up to date CV and/or LinkedIn profile and other optional materials live cover letters and portfolios.
 </p>
 <p>
  Once applied, you will have a conversation with our Talent Acquisition team, followed by a technical interview and an interview with the hiring manager; a client interview may also be included in some cases. If successful, you'll receive an offer and, upon acceptance, officially become part of our team. We look forward to welcoming you aboard!
 </p>
 <p>
  Join EPAM today and contribute to shaping the future of technology while growing your career in a supportive, global work environment.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Why Join EPAM:
  </strong>
 </p>
 <p>
  &bull; Become part of a global community of experts spanning over 55 countries in a welcoming and inclusive work environment
 </p>
 <p>
  &bull; Experience flexible work options - from home, on-site or in a hybrid model based on role and/or project requirements
 </p>
 <p>
  &bull; Enjoy a tailored career progression path at EPAM, recognized as the Fastest-Growing IT Services Company in Fortune 100
 </p>
 <p>
  &bull; Benefit from consistent learning and development opportunities including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
 </p>
 <p>
  &bull; Explore a wide network of innovative and diverse projects across various markets and verticals
 </p>
 <p>
  &bull; EPAM was recognized by Glassdoor&rsquo;s as a top 100 Best Places to Work 2023 &amp; 2024
 </p>
 <p>
  &nbsp;
 </p>
</div>


Python AI Engineer

<div>
 <p>
  <strong>
   Python / AI Engineer (AWS Bedrock, Multi-Agent AI)
  </strong>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Python / AI Engineer
  </strong>
  to design, build, and test intelligent multi-agent applications running on
  <strong>
   AWS Bedrock
  </strong>
  . In this role, you will develop AI agents using modern agent frameworks, implement agent collaboration and delegation patterns, integrate foundation models, and establish testing and evaluation practices for production-grade AI solutions.
 </p>
 <p>
  You will work closely with AI engineers, platform teams, and architects to build scalable, maintainable, and enterprise-ready agent-based applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Overview
  </strong>
 </p>
 <p>
  Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 </p>
 <p>
  Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 </p>
 <p>
  As a
  <strong>
   Python / AI Engineer
  </strong>
  , you will become part of the
  <strong>
   Core Architecture Team
  </strong>
  , contributing to the development of a modern Digital Engineering Enterprise Platform.
 </p>
 <p>
  The platform provides engineering teams with reusable services, development tools, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain AI agent applications using Python and modern agent frameworks such as LangGraph, Strands, CrewAI, or equivalent.
  </li>
  <li>
   Build intelligent multi-agent workflows with collaboration and delegation capabilities.
  </li>
  <li>
   Integrate AI agents with AWS Bedrock foundation models and related AWS AI services.
  </li>
  <li>
   Develop Agent-to-Agent (A2A) communication using JSON-RPC 2.0, Server-Sent Events (SSE), and related communication patterns.
  </li>
  <li>
   Design and implement automated testing strategies for agent behavior, workflow correctness, and system reliability.
  </li>
  <li>
   Build evaluation frameworks using pytest, LangSmith, and other testing and validation tools.
  </li>
  <li>
   Create reusable components, templates, and pattern libraries that accelerate AI application development.
  </li>
  <li>
   Produce clear technical documentation, implementation guides, and engineering best practices.
  </li>
  <li>
   Collaborate with platform, AI, DevOps, and product teams to deliver scalable and production-ready AI solutions.
  </li>
  <li>
   Monitor, troubleshoot, and optimize agent performance, reliability, and operational efficiency.
  </li>
  <li>
   Promote engineering excellence through observability, testing, governance, and AI application lifecycle best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in computer science, Software Engineering, or a related field.
  </li>
  <li>
   4+ years of professional Python software development experience.
  </li>
  <li>
   Hands-on experience with at least one modern agent framework such as LangGraph, Strands, Crew AI, or an equivalent framework.
  </li>
  <li>
   Experience implementing multi-agent collaboration and delegation patterns.
  </li>
  <li>
   Experience integrating applications with AWS Bedrock APIs and foundation models.
  </li>
  <li>
   Knowledge of Agent-to-Agent (A2A) communication patterns, including JSON-RPC 2.0 and Server-Sent Events (SSE).
  </li>
  <li>
   Experience building automated testing frameworks using pytest and AI evaluation tools such as LangSmith.
  </li>
  <li>
   Experience writing technical documentation and creating reusable engineering assets.
  </li>
  <li>
   Strong understanding of software engineering best practices, code quality, and testing methodologies.
  </li>
  <li>
   Excellent problem-solving, communication, and collaboration skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Hands-on experience with the Strands SDK.
  </li>
  <li>
   Experience with LangSmith tracing, evaluation, and observability.
  </li>
  <li>
   Familiarity with prompt engineering and AI evaluation methodologies.
  </li>
  <li>
   Experience deploying AI applications in AWS cloud environments.
  </li>
  <li>
   Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native application development.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us
  </strong>
 </p>
 <ul>
  <li>
   Work on enterprise-scale AI initiatives for a global industry leader.
  </li>
  <li>
   Build intelligent multi-agent applications using the latest AI frameworks and AWS Bedrock technologies.
  </li>
  <li>
   Collaborate with experienced architects and AI engineers on innovative cloud-native solutions.
  </li>
  <li>
   Contribute to engineering standards, reusable frameworks, and best practices for enterprise AI development.
  </li>
  <li>
   Be part of a team shaping the future of production-grade AI applications at global scale.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Senior Python / AI Engineer (AWS Bedrock, Multi-Agent AI)

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Long Description</b></h2>
</div><div><p><b>Python Developer &ndash;Key Pointers</b></p>
<div><ul><li><b>Python &amp; API Development</b> &ndash; Strong Python skills with experience in FastAPI, Flask, or Django, REST APIs, microservices, webhooks, and middleware.</li></ul>
<ul><li><b>GenAI Integration</b> &ndash; Integrate LLMs, prompt workflows, RAG pipelines, embeddings, vector databases, and AI services into applications.</li></ul>
<ul><li><b>Agentic Workflow Support</b> &ndash; Develop tools, APIs, and orchestration components for intelligent agents and automated workflows.</li></ul>
<ul><li><b>Data &amp; System Integration</b> &ndash; Work with SQL/NoSQL databases, third-party APIs, cloud services, and structured/unstructured data.</li></ul>
<ul><li><b>Deployment &amp; Engineering Practices</b> &ndash; Build secure, scalable, and tested solutions using Azure/GCP/AWS.</li></ul>
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>Works in the area of Software Engineering which encompasses the development maintenance and optimization of software solutions and applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He or she is responsible for the development and application of software engineering practice and knowledge in research design development and maintenance.3. He or she work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his or her software engineering discipline to reach standard software engineer skills expectations for the applicable role as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>Is the entry level in Software Engineering with a foundational understanding on programming concepts, software design and software development principles. Consistently works to direction with reducing supervision, producing accurate and reliable results. They are expected to be eager to learn and know when to ask questions and check for understanding. Understands and follows work processes. Is aware of costs related to own work. Organises own time to deliver against tasks set by others with a short term horizon. Works co operatively with others to achieve team goals and has a direct and positive impact on project performance. Actively seeking feedback to improve and starting to manage own career with support.</div>
</div></div><p>For this role, the gross annual starting base salary is [X] [currency] (full-time). This covers base pay only; any bonuses, incentives, and benefits will be discussed later in the recruitment process. Candidates with additional experience or qualifications may receive a higher offer, determined by objective, gender-neutral criteria and consistent with our pay principles. If a collective labour agreement applies, we will explain the relevant pay terms at the interview stage. Note: We never ask for your current or previous salary during our hiring process.</p></div></div></div></div>

Python - Associate Software Engineer

GreenGrowth CPAs

<p></p><div><div><b>About the Company</b><br>
We aim become one of thep 100 CPA firms in the US through a culture of continuous improvement, positioning ourselves as the go-to partner for businesses nationwide and setting the standard for excellence in accounting.<br>
<br>
This is an <b>onsite</b>, salaried position located in Irvine, CA.<br>
<br>
<b>About the Role</b><br>
We're not just adopting AI - we're building it into the DNA of financial services. At GreenGrowth CPAs, we&rsquo;re looking for an AI Engineer who&rsquo;s ready lead the charge in transforming how financial operations are automated, predicted, and intelligently scaled. If you thrive in fast-moving environments, love experimenting with LLMs, and want work somewhere where your ideas will shape the roadmap - this is your chance. This role comes with a base salary, equity opportunity, and the ability own AI innovation at a company that&rsquo;s scaling rapidly.<br>
<br>
<b>Responsibilities</b><br>
You&rsquo;ll own the full lifecycle of intelligent systems from concept deployment focused on automation, predictive analytics, and seamless user experiences.<br>
<br>
<b>Build &amp; Launch AI Solutions:</b><br>
Design and deploy ML models<ul><li> automate financial workflows (think: invoicing, forecasting, expense classification).</li>
Develop NLP applications like document parsing, chatbot<li>ols, and summarization engines.</li>
Embed AI directly into client-facing and internal<li>ols alongside product + engineering.</li></ul><b>
Scale the Infrastructure:</b><br>
<ul><li>
Build secure, scalable AI pipelines for training, deployment, and retraining.</li>
Choose the best-fit frameworks and cloud<li>ols (AWS, Azure, GCP).</li>
Monitor model performance and retrain regularly<li> keep systems sharp.</li></ul><b>
Collaborate &amp; Innovate:</b><br>
Partner with finance, ops, and product teams<ul><li> identify high-impact AI use cases.</li>
Experiment with new<li>ols (LLMs, vector databases, multimodal models&mdash;you name it).</li>
Help shape our internal data strategy and make insights visible with dashboards and reporting<li>ols.</li></ul><b>
Build Smart &amp; Safe:</b><br>
<ul><li>
Ensure all AI systems comply with privacy laws (GDPR, CCPA, etc.).</li><li>
Build in transparency and explainability from day one.</li><li>
Help us stay ahead of AI/ML trends in fintech and SaaS.</li><li>
Maintain and expand our internal platform, a Python/Flask/Postgresql monolith app running on AWS lightsail/Ubuntu Linux.</li></ul><b>
Qualifications</b><br>
<ul><li>
Bachelor&rsquo;s degree in Engineering, Computer Science or a related field.</li></ul><b>
Required Skills</b><br>
Proficiency in Python, Postgresql, html/css/Javascript, AWS Devops, Tailwindcss, GoogleScripts, N8N, Zapier, exposure<ul><li> Quickbooks Intuit API preferred.</li>
Exposure Openai, Anthropic, Groq, or Gemini APIs<li> create AI wrapper apps.</li><li>
Strong experience in automating accounting processes, preferred.</li><li>
Proven experience as a full stack developer, Automation or AI Engineer or similar role.</li><li>
Strong programming skills in languages such as Python, Ruby, or Javascript.</li><li>
Knowledge of software development methodologies and best practices.</li><li>
Familiarity with databases, SQL, and scripting.</li><li>
Excellent problem-solving and analytical skills.</li>
Ability<li> work independently and as a part of a team.</li><li>
Excellent spoken and written English.</li></ul><b>
Who We're Looking For</b><br>
Someone who wants be early on something big, not just maintain legacy<ul><li>ols.</li>
Learns fast, builds faster, and isn&rsquo;t afraid<li> ask hard questions.</li><li>
Gets energy from experimentation and autonomy.</li><li>
Wants skin in the game with equity and long-term impact.</li></ul><b>
Pay Range and Compensation Package</b><br>
<ul><li><b>
Base Salary:</b> $70,000 &ndash; $80,000 base compensation</li><li><b>
Health &amp; Wellness:</b> Comprehensive medical, vision, and dental benefits</li><li><b>
Time Off:</b> Unlimited PTO and observed paid holidays</li><li><b>
Retirement:</b> 3% non-elective contribution a company 401(k)</li></ul>
The journey doesn't stop here! We have a plethora of benefits unveil during our interview. If you're hungry for growth and thrive in a culture of care and innovation, .<br>
<br>
Join GreenGrowth CPAs, where your work truly matters.<br>
<br>
GreenGrowth CPAs is an equal opportunity employer that prohibits discrimination and harassment, makes hiring decisions based on job-related qualifications, provides reasonable accommodations for applicants and employees (including for disabilities and sincerely held religious practices), and complies with federal and California law.</div><p></p><div><div><div><div><div><div><div><p><br>
</p></div></div><div></div>
</div></div></div></div><div></div><div><div>Department</div>
<div>IT</div>
<div>Location</div>
<div>Anaheim, California, USA</div></div></div></div>

AI Engineer (Tax)

Open Systems Technologies

<div>
 A major financial firm is looking for a
 <strong>
  Python Developer
 </strong>
 to join their team in New York, NY.
 <br/>
 <br/>
 <em>
  Compensation: $150-200k/year
  <br/>
  <br/>
 </em>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A Bachelor's Degree in Computer Science, Engineering, or related field of study
  </li>
  <li>
   5+ years of relevant hands-on technical experience
  </li>
  <li>
   Strong Python skills
  </li>
  <li>
   Strong understanding of relational databases and SQL
  </li>
  <li>
   Strong analytical skills with attention to detail
  </li>
  <li>
   Strong communication skills
  </li>
 </ul>
</div>


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