Tech Lead

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 of a Tech Lead at Iris.ai

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: At Iris.ai all colleagues receive ownership in the company, part of our ESOP pool (3%).

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

Key skills/competency

• Python
• Django
• AI/ML/NLP
• Architectural Design
• Leadership
• Cloud Infrastructure (AWS)
• Databases (PostgreSQL, Elasticsearch)
• GenAI
• Software Development
• Mentorship