Full‑Stack AI Engineer

Elevate Ventures

Indianapolis (IN)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Stellar is building AI-powered solutions that blend cutting-edge models with practical, production-ready engineering. We seek a builder who pushes AI limits while delivering robust software.

You'll work across front-end (React, TypeScript) and back-end (Python, Node.js, Go), design AI workflows, and maintain infrastructure with CI/CD and Kubernetes. Join us to ship impactful, scalable AI features in collaboration with customers and teammates.

Qualifications

  • 5+ years of software engineering experience, including AI-powered systems.
  • 2+ years building AI-powered solutions.
  • Strong full-stack expertise across front-end and back-end tech.
  • Familiarity with AI development tools and cloud-native infra.

Responsibilities

  • Design, prototype, and scale AI-native applications and agents that deliver business impact.
  • Build across the full stack: React/TypeScript on the front end; Python/Node.js/Go on the back end; APIs and databases.
  • Develop and optimize LLM-powered workflows including RAG patterns and embeddings.
  • Architect and maintain infrastructure — CI/CD, Kubernetes, cloud services, observability.
  • Balance innovation with production-readiness: scalability, security, maintainability.
  • Collaborate with customers, engineers, product managers, and designers to translate experiments into features.
  • Stay hands-on with developer-first tools to accelerate productivity.

Skills

Full-stack development
AI systems
React/TypeScript
Python/Node.js/Go
Cloud platforms
Collaboration

Tools

Cursor
Claude Code
GitHub Copilot
LangChain
CrewAI

Job description

At Stellar, we build custom AI solutions that blend the power of cutting-edge models with practical, production-ready engineering. We believe AI isn’t magic — but when done right, it is magical. We’re looking for a builder who can push the limits of what AI can do while grounding that work in the rigor of full-stack engineering.

What You’ll Do
  • Design, prototype, and scale AI-native applications and agents that deliver business impact.
  • Build across the full stack: front-end (React, TypeScript), backend (Python, Node.js, Go), APIs, databases (SQL/NoSQL/vector stores).
  • Develop and optimize LLM-powered workflows including RAG patterns, embeddings, multi‑agent orchestration, and context management.
  • Architect and maintain infrastructure — CI/CD, Kubernetes, cloud services, and observability.
  • Balance innovation with pragmatism — quickly move from proof‑of‑concept to production with attention to scalability, security, and maintainability.
  • Optimize AI systems for performance, accuracy, latency, and cost tradeoffs.
  • Collaborate with customers, engineers, product managers, and designers to translate experimentation into robust features.
  • Stay hands‑on with developer‑first tools like Cursor, Claude Code, Copilot, and others to accelerate productivity.
About You
  • 5+ years of software engineering experience, with at least 2 years building AI‑powered systems.
  • Strong full‑stack expertise: front‑end (React, TypeScript, modern frameworks), back‑end (Python/Node.js/Go), and databases (SQL, NoSQL, vector DBs).
  • Familiarity with AI development tools (Cursor, Claude Code, GitHub Copilot, LangChain, CrewAI, or similar).
  • Experience with cloud‑native infrastructure (AWS/Azure/GCP), Kubernetes, Docker, CI/CD pipelines, monitoring, and scaling systems.
  • Knowledge of LLM lifecycle — prompting, evaluation, fine‑tuning, RAG, embeddings, and agent design.
  • Pragmatic mindset — you know AI requires testing, observability, and fallback logic, not just prompts.
  • Strong collaboration and communication skills and comfortable bridging technical and business perspectives.
  • Excited to explore new ideas while delivering production‑ready software.
Why Join Us
  • Work on the frontier of AI applications, not just as a user of models but as a builder of systems that make them useful.
  • Join a team that values authenticity, creativity, and practical innovation.
  • Shape the future of AI solutions by combining experimentation with enterprise‑grade engineering.
  • Expand your universe with us — literally.
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