Full-Time

Software Engineer – New Grads

Posted on 2/20/2026

Giga AI

Giga AI

51-200 employees

Dataset management and GPT-4 model fine-tuning

Compensation Overview

$160k - $250k/yr

New York, NY, USA

In Person

Category
Software Engineering (1)
Required Skills
Kubernetes
Python
Docker

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Requirements
  • Are graduating (or recently graduated) with a Computer Science degree or equivalent background.
  • Have internship experience or significant projects where you wrote production-quality code.
  • Can take a problem, figure out an approach, and unblock yourself when you get stuck.
  • Prefer shipping over perfection but still care about quality.
  • Want to work at a startup where you'll have real responsibility early.
Responsibilities
  • You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
  • You will be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
  • Contribute to projects across our stack including Atlas features for our AI assistant such as charts and alerts in Slack, natural language queries, expanding Atlas to manage platform resources.
  • Work on Activity Stream: log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior.
  • Work on Dynamic knowledge: adding time-based knowledge that auto-updates from sources like status pages.
  • Work on Agent memory: conversation awareness and recent interaction lookups so agents remember context across sessions.

GigaML helps developers, data scientists, and businesses manage and improve AI models, especially those based on OpenAI’s GPT-4. Its platform lets users create and organize datasets from logs, manage these datasets, and apply various fine-tuning methods to tailor models to specific tasks or industries. The product works by providing an API-backed workflow: sign up, generate an API key, and integrate GigaML’s library into Python or NodeJS projects to upload data, select tags or models, and run fine-tuning operations that adjust a model’s behavior. GigaML differentiates itself through structured dataset management, flexible fine-tuning options, and a usage-based pricing model that scales from startups to large enterprises, enabling clients to pay for data processed and tuning effort. The company aims to help organizations leverage advanced AI more effectively by making it easier to manage data, fine-tune models, and deploy capable AI solutions at scale.

Company Size

51-200

Company Stage

Series A

Total Funding

$64.7M

Headquarters

San Francisco, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Giga raised $61M Series A led by Redpoint Ventures with Y Combinator and Nexus participation for growth.
  • Giga serves DoorDash, validating production-ready agents handling millions of daily support tickets with over 90% resolution accuracy.
  • Giga targets regulated sectors like healthcare and banking, leveraging secure orchestration and brand-aligned, emotionally aware interactions.

What critics are saying

  • Zendesk's $1.50–$2 per resolution model and expanding ecosystem will undercut Giga's pricing with mid-market clients within 6–12 months.
  • A former employee's $3M lawsuit alleging revenue misdisclosure could trigger Redpoint or Y Combinator investor withdrawal within 3–6 months.
  • Full Truck Alliance's majority stake in Giga.AI Technology Limited creates U.S. compliance risks under AI export controls within 12–18 months.

What makes Giga AI unique

  • Giga builds voice-based AI agents for enterprise support, unlike text-only incumbents like Zendesk and Salesforce.
  • Giga agents deliver sub-second responses with contextual reasoning and emotionally intelligent, human-quality conversations at scale.
  • Giga deploys enterprise-scale AI support in under two weeks, enabling rapid integration and real-time action execution.

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Benefits

Catered lunch daily

Dinner stipend

$150/month wellness benefit (gym, fitness classes, mental health)

401(k) plan

Paid parental leave (12 weeks maternal, 6 weeks paternal)

Commuter benefits

Medical, dental, and vision coverage

Growth & Insights and Company News

Headcount

6 month growth

9%

1 year growth

7%

2 year growth

-24%
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