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Senior Python Ai Jobs in Missouri (NOW HIRING)

$93K - $126K/yr

Our partner is looking for a Software Craftsperson/Python/AI based in Netherlands. This role sits at the intersection of software engineering and AI-native development, where craftsmanship and ...

New

Python Senior Software Engineer

Noel, MO · On-site

$90K - $180K/yr

You are an AI builder with expert software engineering skills and have begun creating applications ... As a Senior software engineer, experience in building scalable, resilient, secure enterprise ...

You are an AI builder with expert software engineering skills and have begun creating applications ... As a Senior software engineer, experience in building scalable, resilient, secure enterprise ...

You are an AI builder with expert software engineering skills and have begun creating applications ... As a Senior software engineer, experience in building scalable, resilient, secure enterprise ...

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

The Sr AI Engineer serves as a senior technical leader responsible for architecting, scaling, and ... Perform data preparation and transformation in SQL or Python when needed for AI workflows.

Senior AI/ML Scientist Location: St. Louis, MO (Hybrid) Type: Contract Experience: 8 10+ Years Job ... Model Evaluation Techniques Advanced Python programming skills. Experience with machine learning ...

New

Contribute to automation and AI-enabled authentication capabilities, * Automated remediation ... Proficiency in Python programming and automation to enhance security processes. * Strong knowledge ...

Contribute to automation and AI-enabled authentication capabilities, * Automated remediation ... Proficiency in Python programming and automation to enhance security processes. * Strong knowledge ...

Python Senior Software Engineer

Noel, MO · On-site

$90K - $180K/yr

Contribute to automation and AI-enabled authentication capabilities, * Automated remediation ... Proficiency in Python programming and automation to enhance security processes. * Strong knowledge ...

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Senior Python Ai information

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Senior Python AI developers are essential for designing, implementing, and maintaining complex AI systems. Human expertise remains crucial for problem-solving, creativity, and overseeing AI development processes. AI is more likely to augment Python programmers' work than fully replace them.

Which 3 jobs will survive AI?

Senior Python AI roles are likely to persist because they involve complex problem-solving, creativity, and oversight of AI systems. Jobs that require advanced technical skills, such as data scientists, AI engineers, and machine learning specialists, are expected to remain in demand due to their specialized knowledge and continuous learning requirements.

What are some common challenges faced by Senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers or machine learning executives, often involving advanced skills in Python, deep learning, and data science. These positions usually require extensive experience, leadership abilities, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and generally found in large tech companies or AI-focused organizations with significant responsibilities.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in machine learning, deep learning, and frameworks like TensorFlow or PyTorch tend to command higher salaries.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

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

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI Engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.
What are the most commonly searched types of Python Ai jobs in Missouri? The most popular types of Python Ai jobs in Missouri are:
What are popular job titles related to Senior Python Ai jobs in Missouri? For Senior Python Ai jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Senior Python Ai jobs in Missouri look for? The top searched job categories for Senior Python Ai jobs in Missouri are:
What cities in Missouri are hiring for Senior Python Ai jobs? Cities in Missouri with the most Senior Python Ai job openings:

Software Craftsperson/Python/AI

Jobgether

On-site

$93K - $126K/yr

Full-time

Posted 2 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Craftsperson/Python/AI based in Netherlands.

This role sits at the intersection of software engineering and AI-native development, where craftsmanship and automation work hand in hand. You will contribute to building high-quality, scalable systems while actively leveraging AI as a co-creator across the software development lifecycle. The environment is highly autonomous, consultative, and impact-driven, with strong expectations around ownership and technical excellence. You will work on solving complex product and engineering problems while shaping engineering practices across teams and initiatives. The role emphasizes clean design, maintainable systems, and continuous improvement through feedback and experimentation. It is ideal for engineers who enjoy working across Python-based systems, modern AI tooling, and end-to-end product delivery in a fast-evolving technical landscape.

Accountabilities
  • Own the end-to-end lifecycle of engineering initiatives, ensuring delivery readiness, production stability, and smooth execution across all phases.
  • Design and deliver scalable, maintainable features with strong attention to architecture, quality, and long-term sustainability.
  • Identify technical, product, and process inefficiencies and proactively drive improvements across teams and systems.
  • Use AI tools actively to accelerate design, development, testing, debugging, and delivery workflows.
  • Contribute to DevEx and delivery improvements using modern engineering practices, including DORA metrics and flow optimization.
  • Support estimation, planning, and vertical slicing discussions to ensure clear, incremental delivery of value.
  • Provide technical leadership through mentoring, feedback, and guidance across team and pod-level initiatives.
  • Collaborate with stakeholders to clarify requirements, resolve ambiguity, and align on outcomes.
  • Influence engineering standards including code quality, testing approaches, and system design practices.

Requirements

  • 4+ years of software engineering experience, including 2+ years working hands-on with AI/ML systems in production environments.
  • Strong proficiency in Python or TypeScript (with willingness to work across both), and solid fundamentals in data structures, algorithms, and software design.
  • Hands-on experience building production applications using LLMs (e.g., GPT, Claude, or similar) for tasks such as document processing, extraction, or classification.
  • Strong experience in prompt engineering and improving structured outputs from LLMs for real-world business use cases.
  • Experience with LLM orchestration tools and frameworks such as LangChain, LlamaIndex, or similar, and familiarity with vector databases like Pinecone, Qdrant, or PgVector.
  • Working knowledge of LLMOps practices including CI/CD, prompt versioning, evaluation, monitoring, and cost optimization.
  • Experience designing scalable backend systems, APIs, and data pipelines in production environments.
  • Familiarity with Agile/XP practices, continuous delivery, and collaborative engineering workflows.
  • Strong communication skills with the ability to work effectively in cross-functional, client-facing environments.
  • Experience using version control systems (Git), writing technical documentation, and working in modern cloud-based infrastructure.

Benefits

  • Fully remote-first work environment with flexible scheduling across time zones.
  • Opportunity to work in an AI-native engineering culture focused on craftsmanship and quality.
  • Twice-yearly in-person co-working sessions and annual company retreat (fully covered).
  • Dedicated learning and development budget to support continuous skill growth.
  • Sponsorship for conferences, talks, and external learning opportunities.
  • Comprehensive medical and term insurance coverage.
  • Home office support and employee-friendly leave policies.
  • Strong engineering culture centered on pairing, experimentation, and continuous improvement.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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