Job Description

Description

Onsite 5x a week at 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 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

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).

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)  

This is a Contract position based out of Bellevue, WA.

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)

This is a fully onsite position in Bellevue,WA.

This position is anticipated to close on May 26, 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.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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