Director, AI Engineering (CTO & Co-founder track in 6–9 months) at Logikality · Bengaluru (Bangalore) · 3 - 9 years · ₹20L - ₹40L / yr (ESOP available) · Raised funding · Posted 25 Sep 2026
Python
Programming[Please refrain from applying if you have over 10 years of experience. This is a hands-on role that requires building from the ground up.]
Location: Bengaluru (In-Office)
Employment Type: Full-Time
About Logikality
Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.
Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.
As we expand our AI capabilities, we are looking for a Director, AI Engineering to define and drive the research direction behind our next generation of intelligent systems.
About the Role
This is a hands-on technical leadership role for someone who enjoys solving difficult AI problems and turning research into production impact.
You will lead the research agenda across large language models, reasoning systems, agentic AI, multimodal learning, and intelligent decision support while working closely with engineering, product, and mortgage domain experts. You will prototype new ideas, validate them through rigorous experimentation, and help productionize solutions that directly improve customer outcomes.
This role is ideal for someone with deep research expertise who enjoys building real-world AI systems rather than research for its own sake.
What You'll Do
- Define and execute the Applied AI research roadmap aligned with company and product goals.
- Design novel approaches for document understanding, reasoning, planning, retrieval, and decision support.
- Build agentic AI systems capable of orchestrating tools, workflows, and domain knowledge to solve complex mortgage use cases.
- Develop multimodal AI models that combine documents, structured data, images, and operational context.
- Lead research on long-context reasoning, knowledge integration, memory, retrieval-augmented generation (RAG), and workflow automation.
- Design robust evaluation frameworks, benchmarks, and automated testing pipelines to measure model quality, reliability, explainability, and business impact.
- Rapidly prototype, experiment, and iterate on new AI techniques, evaluating state-of-the-art research for production adoption.
- Work closely with software engineers to translate research prototypes into scalable, production-ready systems.
- Mentor AI engineers and contribute to building a strong research culture within the organisation.
- Collaborate with mortgage domain experts to deeply understand operational workflows, compliance requirements, and decision-making processes.
- Stay current with advances in AI research and identify opportunities to leverage emerging techniques within our platform.
- Represent Logikality in customer interactions, strategic discussions, industry conferences, and business forums, communicating our AI vision, gathering market insights, and helping shape research priorities through direct engagement with customers and ecosystem partners.
What We're Looking For
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline; or an engineering degree in Computer Science or related disciplines from a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
- 3–8 years of professional experience in Applied AI, Machine Learning, or AI Research, with experience building production-grade AI systems
- Strong expertise in modern AI, including Large Language Models, transformers, agentic AI, reasoning systems, retrieval, multimodal learning, or adjacent areas.
- Strong software engineering skills with Python and modern machine learning frameworks.
- Experience designing and implementing production-grade AI systems that solve complex real-world problems.
- Strong understanding of model evaluation, benchmarking, experimentation, and AI system reliability.
- Experience balancing research innovation with engineering pragmatism and product delivery.
- Excellent problem-solving and communication skills with the ability to collaborate across engineering, product, and business teams.
Why Join Logikality?
At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.
This is an opportunity to work at the intersection of cutting-edge AI research and real-world impact, where your ideas won't remain as papers or prototypes; they'll power intelligent systems used every day by mortgage professionals. We are looking for someone who can connect AI, platform engineering, product thinking and customer outcomes.
For the right person, this could develop into a CTO and co-founder track over the next 6–9 months, based on contribution, technical leadership and mutual fit.
Interested candidates are requested to apply via the Google Form given: https://forms.gle/jFqKzfLhNCcCFU5t9
This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon