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At Iris.ai, we’re building an agentic AI platform that scales expert-level domain knowledge across entire organizations.
For more than a decade, we’ve worked at the intersection of scientific research, industrial data, and applied AI, helping researchers, engineers, and business teams reason over complex technical knowledge.
Our products - Neuralith, Axion, and RSpace - span the full GenAI lifecycle:
Data ingestion across text, tables, figures, and technical formats
Advanced RAG and indexing pipelines
Agentic orchestration and reasoning
Rigorous LLM evaluation and governance
What makes us different: we care deeply about accuracy, evaluation, and responsibility. We don’t optimize for demos and proof-of-concepts we optimize for systems that experts trust and use.
We are looking for a Tech Lead to take a key role in guiding the development of our AI products and platform. This is a senior technical position combining deep engineering expertise with leadership. You will contribute hands‑on to our Python-based AI stack while mentoring engineers, shaping architecture, and ensuring that ideas move rapidly from concept to production.
As Tech Lead you will lead a small, talented engineering team building advanced AI products. You will collaborate with product managers and researchers to align technical decisions with business goals, drive innovation, resolve blockers, and foster a culture of knowledge sharing. You will guide architectural decisions, maintain high technical standards, while coding side-by-side with the team mates.
Design, implement and deliver scalable AI-driven software systems using Python.
Drive innovation: research, test and adopt new technologies to enhance development productivity.
Collaborate with cross-functional teams to define, design, and ship new features.
Participate in the full development cycle from specification to deployment.
Provide technical guidance and mentorship to team members, ensuring code quality and best practices.
Guide architectural decisions and ensure alignment with product strategy.
Participate in hiring, onboarding and performance reviews of engineers.
Python & Django
Relational databases (PostgreSQL)
Non-relational and vector databases (Elasticsearch / OpenSearch, ChromaDB, Couchbase)
AI / ML / NLP libraries (Gensim, Torch, Transformers, spaCy, Autogen, etc.)
Cloud (AWS)
GenAI tools (Windsurf, Cursor, Amazon Q, Claude and other)
Git & CI / CD
2+ years of leadership or team management experience (Tech Lead, Team Lead, Engineering Manager, etc.).
At least 7 years of experience in software development.
Minimum 3 years of professional Python experience.
Solid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructure
Familiarity with ML systems or motivation to learn in depth
Strong knowledge of architectural and software design patterns.
Bachelor’s degree in Computer Science, Software Engineering or similar.
Ability to teach and transfer knowledge to others.
Proficient analytical and problem-solving skills.
Fluent English.
Masters degree in Computer Science or related field
Previous work with LLMs, NLP, or AI model evaluation
Experience contributing to or using RAG systems in production
Open-source contributions, academic research, or mentoring
If you want to do meaningful engineering work and grow in a culture built on trust, rigor, and fairness — let’s talk.
We’re not your typical tech company. We believe in:
Real transparency — information is shared, context is open, and questions are welcome.
Fairness, designed in policies, opportunities, and growth are aligned across countries and teams.
Ownership and empoweredness to make decisions without micromanagement.
Metrics that guide us — but they never replace human thinking or responsibility
💸 Pay
Compensation that reflects your value. Our salaries are typically 25% above local market averages, ensuring competitive, fair pay across regions and roles. And we review it annually.
💸 Equity
We believe salary helps you get by. Stock options build wealth!
At Iris.ai all colleagues receive ownership in the company, part of our ESOP pool (3%). Because when we grow, you grow — that's what shared success really means.
(Just imagine: Someone once bought a Tesla option for $1 — it's worth $400 today.)
We’ve built our benefits to reflect how we work: with trust, fairness, and room to grow.
30 days paid vacation
5 additional days paid vacation for Learning and Development
Private health insurance (premium coverage) and bi-annual health checks
Free MultiSport card or Fitness subscription coverage for your physical well-being
Remote-first & flexible hours — work where you're at your best
Personal annual learning budget for conferences, courses, or certifications
Personal equipment budget to choose the gear that suits your style
Charity and volunteer activities
Seasonal working camps (summer & winter) and team retreats
Ongoing growth through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing
If you care about building high-quality, ethical AI — guided by data and human judgment — you’ll feel at home at Iris.ai.
👉 Apply now or reach out with questions. We’re transparent by default.