Director, AI Engineering (CTO & Co-founder track in 6–9 months)

at Logikality

Director, AI Engineering (CTO & Co-founder track in 6–9 months)

Logikality

Company

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Director, AI Engineering (CTO & Co-founder track in 6–9 months)

at Logikality

Posted by M Malavika

3 - 9 yrs

₹20L - ₹40L / yr (ESOP available)

Bengaluru (Bangalore)

Skills

Artificial Intelligence (AI)

Large Language Models (LLM) tuning

MULTIMODAL AI

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.

[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

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.

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?

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.

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About Logikality

Founded :

2024

Type :

Product

Size :

0-20

Stage :

Raised funding

About

N/A

Company social profiles

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Develop and apply testing processes for new and existing products to meet client needs
Liaise with internal teams (e.g. developers and product managers) to identify system requirements
Monitor debugging process results
Investigate the causes of non-conforming software and train users to implement solutions
Track quality assurance metrics, like defect densities and open defect counts
Stay up-to-date with new testing tools and test strategies

Skills Requirements

Proven work experience in software development
Proven work experience in software quality assurance
Strong knowledge of software QA methodologies, tools and processes
Experience in writing clear, concise and comprehensive test plans and test cases
Hands-on experience with both white box and black box testing
Hands-on experience with automated testing tools
Solid knowledge of SQL and scripting
Experience working in an Agile/Scrum development process
Experience with performance and/or security testing is a plus
Tech in IT

Hello Everyone!

On behalf of one of our clients,we are hiring Tester / QA Executive.
Responsibilities

Review requirements, specifications and technical design documents to provide timely and meaningful feedback
Create detailed, comprehensive and well-structured test plans and test cases
Estimate, prioritize, plan and coordinate testing activities
Design, develop and execute automation scripts using open source tools
Identify, record, document thoroughly and track bugs
Perform thorough regression testing when bugs are resolved
Develop and apply testing processes for new and existing products to meet client needs
Liaise with internal teams (e.g. developers and product managers) to identify system requirements
Monitor debugging process results
Investigate the causes of non-conforming software and train users to implement solutions
Track quality assurance metrics, like defect densities and open defect counts
Stay up-to-date with new testing tools and test strategies

Skills Requirements

Proven work experience in software development
Proven work experience in software quality assurance
Strong knowledge of software QA methodologies, tools and processes
Experience in writing clear, concise and comprehensive test plans and test cases
Hands-on experience with both white box and black box testing
Hands-on experience with automated testing tools
Solid knowledge of SQL and scripting
Experience working in an Agile/Scrum development process
Experience with performance and/or security testing is a plus
Tech in IT

Research Developer

at Dunya Labs

2 recruiters

Posted by Muralidhar BS

Bengaluru (Bangalore)

3 - 7 yrs

₹6L - ₹14L / yr

C++

Python

Research Developer Dunya Labs is a deep tech product company currently focused on building infrastructure, developer tooling and middleware for deploying scalable blockchain applications. We combine a theoretical research team with a product team to lead cutting-edge developments in the blockchain space. Seeking a diligent, passionate and detailed-oriented Research Developer to drive theoretical research into various blockchain protocols and help ideate potential products. At Dunya Labs, you will be contributing to impactful solutions that can enable the decentralized world. We strongly prefer candidates who have strong academic research backgrounds and deep interest in blockchain technology - candidates who are agile and able to work in undefined areas. Key Responsibilities: The Research Team at Dunya Labs is focused on pioneering foundational research in blockchain technologies and use-cases. We explore the following: ● Foundational Research. Staying aware and updated on major cryptographic and theoretical computer science developments, including but not limited to: zero-knowledge, multiparty computation, new cryptographic primitives, transformers, and more. ● Protocol Research. Deep-dives into up-and-coming blockchain protocols through whitepaper analysis and discussions with the protocol teams themselves. ● Scaling. Sharding, Layer-2 Scaling (e.g. Lightning, Raiden), non-blockchain distributed networks, applications of discoveries and constructions in recent cryptography papers ● Privacy. Transactional privacy and data feed privacy on public blockchains (e.g. zk-snarks) ● Governance. Implications and results of on-chain and off-chain governance ● Smart Contract Standards/Security. Automation, formal verification, and termination of smart contracts Qualifications: ● Bachelor’s in Computer Science, Mathematics or a technical field. Masters/PhD preferred. ● Research or development experience in network security, algorithms, or theoretical computer science and mathematics ● Knowledge of distributed systems, game theory and/or cryptography is strongly preferred ● Record of academic publishing in related conferences and/or journals a plus Skills and Competencies: ● Ability to work creatively and independently on long-term technical problems ● You learn quickly and apply new skills effectively ● Ability to collaborate with other researchers and developers ● Brilliant analytical and problem solving skills, especially algorithmic knowledge Preferred Qualifications ● You work well with data and can use machine-learning tools to analyze datasets. ● Ability to code at a high level in C, C++, Python, Golang, Rust or any other common programming language ● Strong performance in competitive programming (TopCoder, HackerRank, CodeChef, Olympiads - IOI, INOI) WHAT WE OFFER: ● A collaborative environment for working with like-minded researchers and developers who carry out implementation of theoretical research results ● Opportunities to work with top research institutes such as ISI Cryptography, IISc and institutions abroad ● Highly competitive salary, healthcare benefits and other perks ● Flat organization with freedom to pursue desired research ABOUT DUNYA LABS: Today, we live in a world where the power of digital data is asymmetrically collected and held by a small handful of companies and political entities. These companies and entities also act as increasingly powerful intermediaries that enable, authenticate and settle digital transactions– of property, currency, identity/reputation, and many other forms of digital data. Blockchain, or cryptographically-secured replicated databases, has the potential to decentralize the transfer of value over the Internet, creating secure, decentralized peer-to-peer economies of trust. By doing so, blockchain disintermediates traditional industries, taking out rent-seeking middlemen who levy taxes on end-users as verifiers, trust-providers or settlors of transactions. Imagine a currency without a central bank (Bitcoin), a portable digital identity without a centralized authenticator (uPort), or a peer-to-peer global file storage system without reliance on centralized cloud-based server providers (Filecoin). Thus far, the “blockchain revolution” has been powered by speculative investment and misunderstanding. But we at Dunya Labs believe that innovations in cryptographically secured, replicated networks are maturing, and the exploration of blockchain as a foundational technology is moving into a mature phase driven by research and execution. Many esteemed academics and cryptographers have joined the field, including Silvio Micali (Algorand), Benn Lynn of BLS Signature Scheme (DFINITY), Andrew Yao (Conflux), Xinmin Luo (DFINITY), Dan Boneh, and more. We are building a knowledge company that focuses on just research and execution. Our mission is to bring blockchain use-cases to market.

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