Full Stack Developer

Description
Onsite 5x a week at Menlo Park, CA OR Bellevue, WA location. Can go down to 4x a week after building trust with the manager and team
Role summary
We're looking for a Full Stack Developer OR Machine Learning Engineer to build end-to-end systems around ML workflows, with a focus on enabling LLM/model training and fine-tuning. This is a full-stack ML engineering role: you'll work across data (SQL + performance fundamentals), backend services in Python, ML training workflows, and TypeScript UIs that help researchers and engineers run experiments, evaluate results, and ship improvements.
This role is ideal for a builder who has owned systems end-to-end-often seen in startup environments-though strong enterprise experience is also welcome.
What you'll do
Build and evolve ML workflow systems: dataset creation/curation, job orchestration, experiment tracking, evaluation, and model/version management.
Contribute hands-on to model training activities, such as running fine-tunes, improving training stability, debugging training/data issues, and iterating on quality.
Develop backend services and APIs (Python-first) that integrate data, training, and evaluation components into reliable tooling.
Build TypeScript-based UIs (and supporting services) that enable users to launch runs, compare experiments, inspect metrics, and debug pipeline failures.
Work deeply with data access patterns and performance: write efficient queries and reason about SQL schema/performance concepts (including indexing fundamentals and tradeoffs).
Improve engineering quality for ML systems: reproducibility, testing, CI/CD for ML workflows, monitoring/alerting, and safe rollouts.
Partner closely with ML researchers, product partners, and infra to translate needs into clear deliverables and milestones.
Skills
Python, SQL, Typescript, ML model training, Full Stack Developer, Sr. Full Stack Developer, machine learning models, Predictive modelling, Data analysis, Predictive analytics
Top Skills Details
Python,SQL,Typescript,ML model training,Full Stack Developer,Sr. Full Stack Developer,machine learning models
Additional Skills & Qualifications
Minimum qualifications
8+ years of software engineering experience (or equivalent), with ownership of complex systems in production.
Demonstrated experience building end-to-end products spanning data + backend + frontend.
Strong coding experience in Python and TypeScript (production-level in both).
Strong exposure to ML workflows (beyond calling model APIs): data preparation, training runs, evaluation, iteration loops, and deployment/rollout constraints.
Hands-on experience fine-tuning or training ML models (LLMs preferred; other deep learning experience acceptable).
Solid understanding of SQL performance fundamentals (query design, indexing concepts, debugging slow queries, etc.).
Ability to operate in ambiguity, lead technical decisions, and drive delivery with minimal oversight.
Preferred qualifications
Experience building internal ML developer tooling: experiment tracking, eval harnesses, model registry, dataset versioning/lineage, guardrails.
Familiarity with training infrastructure concepts (schedulers/orchestrators, checkpointing, failure recovery, profiling).
Experience with LLM quality evaluation approaches (offline eval suites, regression tracking, human/LLM-as-judge patterns).
Startup-style generalist background (breadth, speed, pragmatic decision-making).
What success looks like
ML practitioners can go from data training/fine-tune eval compare release with less friction and faster iteration.
Training workflows are reproducible, observable, and reliable (fewer flaky runs, faster debugging, clearer ownership).
Frontend and backend tooling meaningfully improves productivity for the team (measurable adoption, reduced cycle time).
Experience Level
Expert Level
We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected
classification. Eligibility requirements apply to some benefits
and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. This temporary role may be eligible for the following:

• Medical, dental & vision
• 401(k)/Roth
• Insurance (Basic/Supplemental Life & AD&D)
• Short and long-term disability
• Health and Dependent Care Spending Accounts (HAS & DCFSA)
• Transportation benefits
• Employee Assistance Program
• Time off/Leave (PTO, Vacation, or Sick Leave)

Job Type & Location
This is a Contract position based out of Bellevue, WA.
Pay and Benefits
The pay range for this position is $70.00 - $90.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in Bellevue,WA.
Application Deadline
This position is anticipated to close on May 1, 2026.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.