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Software Engineer - AI Agentic Product Dev Team (US)

Eightfold AI
Santa Clara, USA
Full Time, Contract, Internship, Temporary, Part Time, Seasonal, Volunteer
Entry · 1+ years experience
Hybrid
USD 120750-161000 yearly / year
Discovered 1 weeks ago
PythonJavaGoTypeScriptAPIsDistributed Systems
Free

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  • Build and ship AI-powered product features using LLMs, NLP, and agent-based workflows
  • Develop backend services and APIs that support model inference, orchestration, and tool execution
  • Implement LLM workflows, including pipelines, retrieval (RAG) systems, and goal-oriented agent behaviors
  • Work closely with Product Managers and Designers to turn AI-driven ideas into working features
  • Collaborate with ML engineers to integrate, evaluate, and productionize models
  • Write clean, maintainable, and well-tested code
  • Participate in code reviews and contribute to technical discussion
  • Help improve system performance, reliability, and scalability
  • 1-2 years of professional software engineering experience
  • Strong experience building backend or full-stack applications
  • Proficiency in Python and at least one other language (Java, Go, or TypeScript)
  • Hands-on experience integrating LLMs, NLP, or ML-powered features
  • Familiarity with APIs, distributed systems, and backend services
  • Understanding of prompting, embeddings, and model inference
  • Solid software engineering fundamentals (testing, debugging, system design)
  • Product mindset with a focus on real-world impact and usability
  • Experience with agentic systems, workflows, or orchestration frameworks
  • Exposure to RAG Architecture Design & Evaluation
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Experience working in AI-first or fast-moving product teams
  • Experience with agentic systems , workflows, or orchestration frameworks
  • Exposure to RAG architecture Design & Evaluation
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Experience working in AI-first or fast-moving product teams
  • Languages & Frameworks: Python, Flask, React, Typescript, Webpack, NextJS.
  • Data & Infrastructure: MySQL, Solr, Apache Airflow, Apache Spark, Docker.
  • Cloud Services: Major AWS services like Aurora, S3, Redshift, Cloudformation, SNS, SQS.
  • AI & ML: Extensive use of ML models and LLMs.

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