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Junior Full Stack Engineers

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Certus Sales Recruitment
Full Time position
Listed on 2026-05-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 100000 - 135000 USD Yearly USD 100000.00 135000.00 YEAR
Job Description & How to Apply Below

Junior Full Stack Engineer

Austin, TX (Onsite)

$100–135K DOE + Equity

Full-Time | High-Growth AI Startup

The Company

Our client is a profitable, product-focused AI startup transforming how visuals are processed and delivered. With a strong customer base and a lean, high-performing team, they’re using computer vision
, LLMs
, and scalable cloud infrastructure to modernize a traditionally slow, manual industry.

The Opportunity

As part of continued growth, they’re hiring a Junior Full Stack Engineer to take ownership across the stack, building, scaling, and deploying AI-enabled tools that deliver real customer value.

This role offers broad technical scope, product ownership, and the chance to work directly on complex systems at the heart of the business.

Key Responsibilities:
  • Build and enhance features across the core platform using Python, FastAPI, and React
  • Scale and optimize backend systems and infrastructure
  • Improve photo editing workflows and user experience
  • Manage cloud-native infrastructure (
    Kubernetes, GCP/AWS
    )
  • Productionize and integrate ML/AI models
    , including computer vision and LLMs
  • Collaborate closely with product and engineering teams to ship fast and iterate
About You
  • Full stack development experience (
    Python, FastAPI, React
    )
  • Infrastructure skills, cloud platforms, Kubernetes, scaling distributed systems
  • Hands-on experience with machine learning in production environments
  • A product mindset, pragmatic, user-focused, and delivery-oriented
  • Comfortable working onsite in downtown Austin
What’s on Offer
  • $100–135K base salary (depending on experience)
  • Equity and ownership opportunities
  • High autonomy and direct impact on product and strategy
  • The chance to join a fast-moving, mission-driven team solving real-world problems with AI
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