Top 1084 Python/django engineer Jobs

PYTHON AI SOFTWARE ENGINEER (In-Person, Austin, TX)
https://tommbo.com/ —Austin, TX
- $80,000 - $99,000 a year
- Full-time
- Computer Science
- Engineering
- No experience needed
Quick Apply
Principal Backend Engineer AI (Python)
Cotiviti —Remote
- $217,000 - $258,000 a year
- Full-time
- Azure
- Computer Science
- 11+ years
- Paid holidays
- Disability insurance
Full Stack Engineer - Python / Angular
CGI Group, Inc. —Jersey City, NJ
- $89,600 - $156,700 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Paid parental leave
- Paid holidays
Solutions Engineer / Network Automation Consultant (Python, Nautobot SaaS)
JMS Technical Solutions —Remote
- $70 - $80 an hour
- Full-time
- Remote
- Mid-level
- US work authorization
- 4 years
Python Engineer
Hitapps —Remote
- Full-time
- Remote
- System design
- Mid-level
DevOps Engineer
Clever Real Estate —Remote
- $140,000 - $160,000 a year
- Full-time
- Remote
- 5 years
- Mid-level
- Continuous improvement
- Paid parental leave
- Paid holidays
Quick Apply
Senior Python Engineer
APPLIED TECHNOLOGY GROUP INC —Remote
- Full-time
- Azure
- 5 years
- English
- Paid holidays
- Disability insurance
Quick Apply
Engineer II - Full stack - Python/Django + Typescript on AWS (Columbus)
Onsetto, Inc —Columbus, OH
- $90,000 - $120,000 a year
- Full-time
- System design
- Mid-level
- 3 years
- Paid parental leave
- Health savings account
Quick Apply
Sr. Software Engineer
Embedded Alliance —Gaithersburg, MD
- $160,000 - $192,000 a year
- Full-time
- Computer science
- Azure
- 6 years
- Health insurance
- Dental insurance
Quick Apply
Mid-Level Backend Software Engineer
Leidos —Aurora, CO
- $87,100 - $157,450 a year
- Full-time
- Azure
- Computer Science
- System design
Mid-Level Backend Software Engineer
Leidos —St. Louis, MO
- $87,100 - $157,450 a year
- Full-time
- Azure
- Computer Science
- System design
Senior AI Engineer - Customer Agent
Klaviyo —Boston, MA
- $148,000 - $222,000 a year
- Call employer
- 5 years
- AWS
- Travel
Software Engineer Lead
PNC Financial Services Group —Dallas, TX
- $86,250 - $158,125 a year
- Full-time
- System design
- Office
- 3 years
- Wellness program
- Health savings account
Software Engineer Lead
PNC Financial Services Group —Birmingham, AL
- $86,250 - $158,125 a year
- Full-time
- System design
- Office
- 3 years
- Wellness program
- Health savings account
Mongo Database Engineer
CACI —Linthicum, MD
- $105,100 - $231,100 a year
- Full-time
- Hybrid work
- Azure
- 5 years
- System design
- Health insurance
Senior AI Engineer - Customer Agent
Klaviyo —Boston, MA
- $148,000 - $222,000 a year
- Call employer
- 5 years
- AWS
- Travel
Quick Apply
Mid-Level Backend Software Engineer
Leidos —Tucson, AZ
- $87,100 - $157,450 a year
- Full-time
- Azure
- Computer Science
- System design
Mid-Level Backend Software Engineer
Leidos —Alexandria, VA
- $87,100 - $157,450 a year
- Full-time
- Azure
- Computer Science
- System design
Financial Model Development Senior (Python Developer)
Freddie Mac —McLean, VA
- $130,000 - $196,000 a year
- Full-time
- Computer Science
- 5 years
- Office
9d
AI/ML Engineer
CGI Group, Inc. —Knoxville, TN
- $102,000 - $251,100 a year
- Azure
- Computer Science
- Writing skills
- Paid parental leave
- Paid holidays

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PYTHON AI SOFTWARE ENGINEER (In-Person, Austin, TX)

https://tommbo.com/
Austin, TX

Quick Apply

Job Details

Full-time | Contract
$80,000 - $99,000 a year

Qualifications

Computer Science
Engineering
Mathematics
SQL
Bachelor's degree
Django
Self-directed learning
APIs
Flask
Python

Full Job Description

About Us

We're a fast-growing AI startup based in Austin, Texas, dedicated to building tools that give companies real visibility into whether their AI agents are actually working.

Our platform provides operational health monitoring and quality evaluation for AI agents — giving founders and teams real-time insight into every run, every trace, and every output. We're building for both technical teams and non-technical founders who need clear, actionable signal without the engineering overhead.

Our stack includes Python microservices, real-time trace ingestion via OpenTelemetry, LLM orchestration across multiple providers, a credit-based evaluation engine, and integrations across the AI ecosystem — LangChain, AWS Bedrock, and custom-built agents.

We're early. The engineers who join now will shape the product, the architecture, and the direction of the company.

The Opportunity

We're looking for a curious, driven Python engineer who wants to build real AI infrastructure — not just maintain it.

This role is ideal for someone who:

Is bright, quick to learn, and picks up new technologies quickly
Is diligent and always thinking about solutions, not just problems
Builds projects outside of school or work because they genuinely enjoy it
Wants to help create a product from the ground up

You don't need to know everything yet. What matters most is how quickly you learn and how excited you are to build. You'll work closely with product and engineering to design and build the systems that power our platform.

What You'll Work On

This is a backend engineering role. You'll build the Python infrastructure that powers our AI platform — the services, pipelines, and data systems that make agent observability and quality evaluation possible.

You'll contribute directly to the core systems behind our platform:

Agent Data Infrastructure:

Building and maintaining the agent DB layer — agents, runs, agent_outputs, and quality_results tables
Writing Python services that ingest, process, and store real-time agent trace data
Designing data pipelines and backend logic that support live monitoring at scale

Observability & Evaluation Systems:

Building integrations with OpenTelemetry and agent frameworks like LangChain and AWS Bedrock
Supporting the credit-based LLM-as-judge evaluation engine — scoring pipelines, datasets, and experiments
Creating systems that support asynchronous workflows, background jobs, and messaging queues

Platform Engineering:

Building Python microservices that power our core platform
Integrating APIs from third-party platforms and AI providers
Supporting containerization, cloud deployment, and production reliability

You'll be involved across the full lifecycle: problem → design → build → deploy → iterate.

Your code will go into production and be used by real companies.

What We're Looking For

We're much more interested in how you think and build than a checklist of technologies. This role is best suited for someone early in their career — a recent grad, a self-taught builder, or someone with 0–2 years of experience who is still hungry to prove what they can do.

Strong candidates will have the following:

A degree in Computer Science, Mathematics, or Engineering — or currently pursuing one
Experience writing Python projects — personal, academic, or professional
Curiosity about AI, LLMs, agent systems, or data infrastructure
Personal projects, GitHub repos, or hackathon work you're proud of
Comfort learning new tools quickly and working with incomplete information
A desire to solve problems that don't have obvious answers

Helpful experience (not required):

Python frameworks: Django, Flask, or FastAPI
ORM libraries and database design
Working with REST APIs or cloud data systems
SQL and basic data modeling
Messaging systems or background job queues
Containerization or cloud deployment (Docker, AWS, GCP)
Familiarity with LLMs, OpenTelemetry, or agent frameworks

What Makes This Role Different

This is not a corporate engineering job. We move fast — decisions get made quickly, code ships frequently, and we don't wait for perfect before we ship.

If you thrive in a slow, process-heavy environment, this probably isn't the right fit. But if you want to build and ship real products at a pace that most companies can't match, you'll love it here.

Engineers here:

Own real parts of the product from day one
Ship code fast — and see it go into production quickly
Work directly with the founders
Help shape architecture decisions
Solve problems that don't have playbooks

Speed is a feature. We expect everyone on the team to move with urgency, iterate quickly, and not get stuck waiting for all the answers before taking action.

What We Value

Curious — you enjoy learning new technologies and digging into how things work
Resourceful — you can figure things out independently without waiting for instructions
Motivated — you want to build meaningful products that reach real users
Collaborative — you enjoy solving problems with a tight, focused team
Persistent — you don't give up when problems get hard

Location

This is an in-person role in Austin, Texas.
Working closely together matters at our current stage. The team collaborates from the office during the week.

Employment Type

Full-time engagement — W2, 1099, or C2C options available.

Job Types: Full-time, Contract

Pay: $80,000.00 - $99,000.00 per year

Application Question(s):

Do you have any of the following? (List all that apply)

GitHub projects
Hackathon participation
Kaggle competitions
Open-source contributions
Technical blog or tutorials
None yet

Are you able to work from our Austin, Texas office?
Tell us about a project, experiment, or tool you built using Python or data systems. (Elaborate, don't just provide a link)
Have you worked with databases or structured data before (SQL, data pipelines, APIs, etc.)? Please elaborate in your own words, not an AI generated summary.
Are you authorized to work in the United States without sponsorship or E-Verification (ex: OPT STEM extension), now or in the future?

Experience:

writing Python code: 2 years (Preferred)

Work Location: In person

Quick Apply

Refine Your Search

python/django engineer jobs

PYTHON AI SOFTWARE ENGINEER (In-Person, Austin, TX)

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Mongo Database Engineer

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