Tech Lead

Job description

Who Are We?

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.

The Role:

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.

What You’ll Do:

- 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.

Our Tech Stack:

- 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

What We’re Looking For:

- 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.

Any Of These Would Be An Advantage:

- 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

🌱 Why Join Iris.ai?

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

Compensation & Ownership

💸 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.)

🧘 Benefits

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

🚀 Let’s Build the Future of Responsible AI

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.