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Salary
≈ $127k – $268k per year (Estimated)
Location
Remote (likely United States)
Seniority
Staff · 4+ years exp
Employment
Full-Time

First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
Home About Us October 3, 2026 WE ARE SOFTGIC WHY SOFTGIC? We drive the digital and cognitive transformation of our clients, providing innovative and customized solutions that take technology to new heights.
This is a remote position.

We are looking for aSenior Full Stack AI Engineerwith a strong software engineering background and hands-on experience usingGenerative AI and AI coding agentsto build production-ready solutions.

This role is ideal for an experienced Full Stack Engineer who can design solutions, guide AI-generated development, review and improve AI-generated code, and take ownership of features from architecture through production.

The position has a clear path toward aTech Lead role.

What You'll Do
  • Design and deliver scalable Full Stack solutions usingPython, JavaScript and React.

  • Use and orchestrate AI development tools and agents such asClaude Code, Cursor and GitHub Copilot.

  • Review, validate and refactor AI-generated code before production.

  • Design reusable prompts, contexts and AI-assisted development workflows.

  • Build and integrateLLM, RAG and AI-powered solutions.

  • Design and supervise data pipelines and AI/ML integrations.

  • Define testing strategies including unit, integration and end-to-end testing.

  • Work withCI/CD, cloud environments and relational/non-relational databases.

  • Participate in architecture, security and technical decision-making.

  • Mentor developers and progressively assumeTech Lead responsibilities.


RequisitosMust-Have Requirements
  • 4–10 years of professional Full Stack Software Engineering experience.

  • 1+ year of technical leadership or mentoring experience.

  • AdvancedPython, JavaScript and React.

  • Hands-on experience usingAI coding agents/toolsin real software development workflows.

  • Professional experience withGenerative AI, LLMs and RAG.

  • Experience withTensorFlow and/or PyTorch.

  • Knowledge ofpandas and scikit-learn.

  • Experience withAWS, Azure or Google Cloud.

  • Experience withCI/CD and automated testing.

  • Strong knowledge of software architecture, design patterns and data structures.

  • Experience with relational and non-relational databases.

  • Strong Git knowledge.
  • Advanced English – written and spoken.

Originally posted on Himalayas

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