Stellar helps companies find their competitive edge by integrating generative AI (genAI), Large Language Models (LLMs), and machine learning (ML) across all facets of business operations. A tech-enabled services leader, Stellar leads businesses in assessing their AI readiness, identifying and prioritizing AI opportunities, and implementing next-generation solutions to securely improve end-to-end operations and financial outcomes. The company’s expertise, guidance, and solutions enable employees, customers, and stakeholders to achieve next-level performance, revenue acceleration, and improved customer experiences.
Stellar helps companies find their competitive edge by integrating generative AI (genAI), Large Language Models (LLMs), and machine learning (ML) across all facets of business operations. A tech-enabled services leader, Stellar leads businesses in assessing their AI readiness, identifying and prioritizing AI opportunities, and implementing next-generation solutions to securely improve end-to-end operations and financial outcomes. The company’s expertise, guidance, and solutions enable employees, customers, and stakeholders to achieve next-level performance, revenue acceleration, and improved customer experiences.
Core focus: Generative AI, LLMs, ML-driven enterprise applications and data solutions
Employee count (approx.): 29
Recent funding: Seed round Jan 7, 2025 (led by Ground Game); $2.7M reported
Company Overview
Problem Domain
Bridging enterprise AI readiness to production-ready generative-AI and ML applications that improve operations and customer outcomes.
Founded
2023
Industry
AI services / Enterprise software services
Tech Stack
Generative AI
Large Language Models (LLMs)
Machine Learning
Data Engineering
Workflow Automation
Funding Track Record
Seed- 2025-01-07
$2.7M
Additional participation from Elevate Ventures; reported as oversubscribed.
Strategic investment- 2025-06-03
$1M
Described as a strategic investment reported in local coverage; company newsroom described financial terms as not disclosed.
Investor Signal
“Has venture backing (Ground Game, Elevate Ventures) and a strategic investor (BCforward), indicating early-stage VC interest plus industry partnership”
Founders
What we do
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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
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Machine Learning Engineer
Full-timeHaifa
Full-time • Haifa
DevOps Engineer
Full-timeMunich, DE
Full-time • Munich, DE
DevOps Engineer
Full-timeHamburg, DE
Full-time • Hamburg, DE
Mobile Developer
Part-timeNovi Sad, RS
Part-time • Novi Sad, RS
AI Researcher
InternshipManchester, GB
Internship • Manchester, GB
Product Designer
ContractTel Aviv
Contract • Tel Aviv
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 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.
