Senior Full‐Stack AI Engineer

Getstellar; Indianapolis (IN); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading AI solutions company in Indianapolis is seeking an experienced software engineer to design and scale AI-native applications. This role requires strong full-stack development skills, experience with AI-powered systems, and familiarity with cloud-native infrastructures. Join us to shape the future of AI solutions with an innovative and collaborative team.

Qualifications

• 5+ years of software engineering experience, with at least 2 years building AI-powered systems.
• Strong full-stack expertise with modern frameworks and databases.
• Experience with cloud-native infrastructure and CI/CD pipelines.

Responsibilities

• Design, prototype, and scale AI-native applications and agents.
• Build across the full stack: front-end, back-end, and APIs.
• Develop and optimize LLM-powered workflows; manage infrastructure.

Skills

Software engineering

AI-powered systems

Full-stack development

Cloud-native infrastructure

Collaboration skills

Tools

React

TypeScript

Python

Node.js

Go

Kubernetes

AWS

Azure

GCP

Docker

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 abuilder 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), backend (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 andcomfortable bridging technical and business perspectives.

Excited to explore new ideas while delivering production-ready software.

Why JoinUs

Work on the frontier of AI applications, not just as auser of models but as abuilder of systems that make them useful.

Join ateam 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.🚀