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Senior Python Software Engineer Jobs in Bakersfield, CA

Harnham

Artificial Intelligence Engineer

Bakersfield, CA · On-site

$118.40K - $142.20K/yr

Expert‑level Python + strong software engineering practices. * Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). * Data engineering: PySpark, SQL, Postgres, data modeling, query ...

Samprasoft

Data Engineer

Bakersfield, CA · On-site

$118.40K - $142.20K/yr

Data Engineer Duration - 6+ months Location - Bakersfield, CA * Design and build the integration ... Python * Spark SQL & PySpark * Azure Synapse, Azure SQL, Azure DWH * Azure Data Lake Storage ...

Serco

Data Engineer-Washington DC

Bakersfield, CA · On-site

$85.30K - $113.80K/yr

Software Engineering Lifecycle * Microsoft Office Suite * Power Platform Suite * Linux * Python * Github and Github Projects * Agile * Version Control * Linear Algebra Company Overview Serco Inc ...

SynergisticIT

Data Analyst

Bakersfield, CA · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

W3Global Inc.

Senior Engineer

Bakersfield, CA

$95K - $145K/yr

Experience in using common office software packages (word processor, spreadsheet, email, etc.) is required. * Experience with AutoCAD engineering design software and ArcGIS are required, as is a ...

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$56.9K

$146.8K

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How much do senior python software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for senior python software engineer in Bakersfield, CA is $146,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $169,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Python Software Engineer, you need advanced proficiency in Python programming, strong problem-solving abilities, and a solid background in computer science or a related field. Familiarity with frameworks like Django or Flask, experience with version control systems such as Git, and knowledge of cloud platforms and CI/CD tools are typically required. Leadership, effective communication, and mentorship skills help you collaborate with teams and guide junior developers. These skills ensure the delivery of robust, scalable software solutions and foster a productive, innovative development environment.

What are some common challenges faced by Senior Python Software Engineers when leading complex projects, and how can they be addressed?

Senior Python Software Engineers often face challenges such as balancing hands-on coding with mentoring junior team members, managing technical debt, and designing scalable solutions. Successfully addressing these challenges involves clear communication, proactive code reviews, and effective prioritization of tasks. Collaborating closely with cross-functional teams and fostering a culture of knowledge sharing can also help ensure project success and team growth.

What does a Senior Python Software Engineer do?

A Senior Python Software Engineer designs, develops, tests, and maintains complex software applications using the Python programming language. They often lead or mentor junior developers, architect software solutions, and ensure best coding practices are followed. These professionals collaborate with cross-functional teams to deliver scalable and efficient systems, troubleshoot issues, and optimize application performance. Their expertise includes advanced knowledge of Python frameworks, libraries, and development tools, as well as experience with databases, APIs, and cloud services.

What is the difference between Senior Python Software Engineer vs Python Developer?

AspectSenior Python Software EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in software engineeringBachelor's degree in CS or related field, coding proficiency
Work EnvironmentDesigning complex systems, leading projects, mentoringWriting code, developing applications, debugging
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects
Common Search & Comparison IntentUnderstanding senior-level roles, responsibilities, and skillsEntry to mid-level coding roles, project involvement

The main difference between a Senior Python Software Engineer and a Python Developer lies in experience, responsibilities, and scope. Senior engineers typically lead projects, design system architecture, and mentor junior staff, while Python Developers focus on coding, application development, and implementation. Both roles require strong Python skills and relevant credentials, but senior roles demand more experience and leadership capabilities.

What are popular job titles related to Senior Python Software Engineer jobs in Bakersfield, CA? For Senior Python Software Engineer jobs in Bakersfield, CA, the most frequently searched job titles are:
What job categories do people searching Senior Python Software Engineer jobs in Bakersfield, CA look for? The top searched job categories for Senior Python Software Engineer jobs in Bakersfield, CA are:
What cities near Bakersfield, CA are hiring for Senior Python Software Engineer jobs? Cities near Bakersfield, CA with the most Senior Python Software Engineer job openings:
Senior Python Software Engineer jobs near you
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Harnham

Bakersfield, CA • On-site

$118.40K - $142.20K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Engineer


1) Organization Overview (Concise & Neutral)

A fast‑growing oncology‑focused organization is reinventing how clinical trials operate by integrating them tightly with real‑world clinical practice. Cross‑disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human‑in‑the‑Loop (HITL) model to deliver regulatory‑grade outcomes that expand trial access and accelerate cancer drug development.


What’s Different

  • Clinical trials are embedded within clinical practice—not run in parallel.
  • Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations.
  • Strong commitment to rigorous testing, validation, privacy, and ethical AI.
  • Mission‑driven culture with high collaboration and urgency.


Why Join Now

  • AI is essential to scaling the business—impact is immediate and visible.
  • Opportunity to build an end‑to‑end applied AI stack powering clinical teams.
  • Work across LLMs, CV, and multimodal use cases with strong platform engineering partners.


2) Role Overview — AI Engineer

Purpose

Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency.

Focus Areas

  • LLM development and LLM‑Ops for text extraction and structuring; some CV/multimodal.
  • Rapid prototyping with high software‑engineering hygiene.
  • Statistical validation plans, experiment design, and metrics ownership.
  • HITL workflow development to reduce manual QA and improve throughput.
  • Collaboration with Platform Engineering for production alignment.
  • Comprehensive documentation: datasets, experiments, model cards, QA audits.
  • HIPAA‑aligned safeguards and compliant AI practices.

Core Responsibilities

  • Build AI models and pipelines across EMR/EHR, imaging, and clinical documents.
  • Translate ambiguous clinical requirements into measurable ML objectives.
  • Define metrics, design experiments, and estimate/model error.
  • Lead interim QA audit processes and evolve toward AI‑assisted QA.
  • Partner with data/platform engineers on scalability, data flow, and observability.
  • Champion code quality, experiment tracking, reproducibility, and knowledge capture.

Expected Impact (6–12 Months)

  • Deliver validated AI components for abstraction and note generation.
  • Meaningfully reduce manual QA workload through HITL optimization.
  • Standardize testing and documentation frameworks.
  • Establish efficient PySpark/SQL/Postgres data‑manipulation patterns that accelerate iteration.


3) Product & AI Context

In‑Flight Work

  • LLM‑powered abstraction and clinical note generation with HITL.
  • Auditing and validation pipelines.

Mandate

  • Drive productivity gains for internal labeling/abstraction teams.
  • Build the full applied‑AI stack: model development, context engineering, QA automation, interfaces.

Productionization

  • Deployment owned by Platform Engineering, but AI Engineers write scalable, integration‑ready code.

Data Gravity

  • Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling.


4) Ideal Candidate Profile

Background

  • MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience.
  • 2–5+ years in AI/ML engineering or applied data science.
  • Healthcare or clinical workflows experience strongly preferred; oncology a plus.

Technical Must‑Haves

  • Expert‑level Python + strong software engineering practices.
  • Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV).
  • Data engineering: PySpark, SQL, Postgres, data modeling, query tuning.
  • Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP).
  • Experiment design, statistical validation, and error analysis.
  • HITL lifecycle design and feedback integration.

Nice‑to‑Have

  • Additional languages: R, Java, C++.
  • MLOps fundamentals (versioning, lineage, CI/CD).
  • Prior oncology or clinical trials exposure.

Apply