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:

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

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