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.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments.
B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance.
Strong proficiency in Python and modern backend development.
Hands-on experience building production-grade applications using Large Language Models (LLMs).
Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering.
Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems.
Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar).
Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks.
Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability.
Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred.
Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines.
Ability to design scalable, secure, and production-ready AI architectures.
Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup.

Preferred Experience

Experience building AI copilots, autonomous agents, or enterprise AI assistants.
Familiarity with MCP, AI tool integration, and agent orchestration.
Experience fine-tuning, distillation, or evaluation of open-source LLMs.
Knowledge of AI safety, governance, and responsible AI practices.
Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology.
Experience deploying AI applications on AWS, Azure, or GCP.

What You'll Build

AI agents that automate mortgage underwriting, quality control, compliance, and document review.
RAG-based knowledge systems that reason across large collections of mortgage documents.
Intelligent workflows combining LLM reasoning with deterministic business rules.
Production-grade AI APIs and backend services powering Logikality's platform.
Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost.

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 will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

About Logikality

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments.
B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance.
Strong proficiency in Python and modern backend development.
Hands-on experience building production-grade applications using Large Language Models (LLMs).
Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering.
Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems.
Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar).
Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks.
Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability.
Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred.
Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines.
Ability to design scalable, secure, and production-ready AI architectures.
Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup.

Preferred Experience

Experience building AI copilots, autonomous agents, or enterprise AI assistants.
Familiarity with MCP, AI tool integration, and agent orchestration.
Experience fine-tuning, distillation, or evaluation of open-source LLMs.
Knowledge of AI safety, governance, and responsible AI practices.
Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology.
Experience deploying AI applications on AWS, Azure, or GCP.

What You'll Build

AI agents that automate mortgage underwriting, quality control, compliance, and document review.
RAG-based knowledge systems that reason across large collections of mortgage documents.
Intelligent workflows combining LLM reasoning with deterministic business rules.
Production-grade AI APIs and backend services powering Logikality's platform.
Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost.

Why Join Logikality?

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

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Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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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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1 recruiter

Posted by Ankit Gupta

NCR (Delhi | Gurgaon | Noida)

4 - 10 yrs

₹18L - ₹34L / yr

NodeJS (Node.js)

Python

Amazon Web Services (AWS)

GraphQL

SQL

+3 more

The ideal candidate will have the following attributes:

● Ability to deep dive hands on into coding, building scalable architecture and backend

infrastructure

● Strong knowledge of “how to scale” a product, Dev ops, (Docker/ Kubernetes), Messaging

queues, Testing, Database design, Security Log management system

● Extremely hands-on in coding along with a strong interest in leading a team.

● Knowledge of tech stack, which in our case is Node.js/GraphQL/TypeScript for API

development, PostgreSQL, AWS, Python for data processing.

● Proven technical experience of 4-10 years of work-ex coupled with a strategic growth mindset

Responsibilities

● Lead the software design, architecture, development, debugging, documentation, testing,

deployment, maintenance and improvement efforts

●

Establish the roadmap and architecture based on the latest proven technologies and Hora’s

needs

● Manage, lead and mentor other engineers and demonstrate best engineering practices with the

team

●

Lead the team to follow our software development process including writing unit tests,

performing code reviews, doing daily standups, setting OKRs and milestones, etc.

●

Excellent experience in coding including the ability to write well-crafted, well-tested, readable,

maintainable code

● Develop backend code for mobile applications and internal web tools

● Develop APIs for the mobile platform

● Own, innovate and maintain the backend infrastructure

● Code using cutting-edge tools in close collaboration with our Machine Learning team

● Stay on top of state-of-the-art technologies and apply them

● Collaborate with teams and share knowledge via tech talks and promote tech and engineering

best practices within the team

Minimum Qualifications

● B.S., M.S., or Ph.D. degree in Computer Science or a related technical field or equivalent

practical experience

● 4-10 years of relevant work experience in system design, algorithms, data structures, scalability,

DevOps, security and testing

● Demonstrated experience in delivering reliable, scalable, performant, and secure web-based

systems and services in production

● Experience working with three or more from the following: web application development,

Unix/Linux environments, mobile application development, distributed and parallel systems,

machine learning, natural language processing, networking, developing large software systems,

security for software development.

● Strong experience in system design, scalability, DevOps, security and testing

● Strong and proven passion for code quality

● Knowledge of a wide-range of front and back-end technologies.

Experience with any of the following technologies is particularly desirable: TypeScript,

GraphQL, node.js, Python, Go, Java, HTML/CSS, React, Redis, PostgreSQL, Kafka,

Spark, ElasticSearch, Docker/Kubernetes, AWS, Git. ○

Experience in writing backend code with modern languages and frameworks

(JavaScript/node.js or Python/Django)

● Strong relational database experience (PostgreSQL, MySQL, etc.)

● Experience in API development for mobile/web

● Strong Computer Science fundamentals: data structures, algorithms, memory management,

concurrency

Preferred Qualifications (Added advantage)

● Excellent written communication, verbal communication, and presentation skills

● Competitive programming experience

● Familiarity with data science and/or machine learning, experience in credit and risk models,

NLP and network analysis expertise

● Experience of working on fintech products

● Experience in managing a distributed set of engineers/developers

Personal Attributes

● Self-guided missile

● Enjoys finding novel solutions to hard technical problems

● Optimistic team player

● A hard-working, humble disposition - we are looking for doers who think, and thinkers who

do.

● Enjoys hands-on, day-to-day work while having a bigger picture view of the goals to

accomplish.

● Strong sense of ethics and integrity.

● Desire to make a strong impact on the lives of millions through their work

Fullstack Developer

at BeautifulCode

1 recruiter

Posted by Goutham Jagannatha

Hyderabad

1 - 2 yrs

₹7L - ₹10L / yr

Javascript

Python

Ruby on Rails (ROR)

AngularJS (1.x)

jQuery

+1 more

BeautifulCoders work as extended engineering team of product/tech companies based out of San Francisco and other places. As a full stack developer you are expected to have a strong backend, frontend and devops skills to help our clients achieve their engineering goals. Some of your day to day activities will include breaking down a monolith into micro-services, a payment method integration, dockerizing and app, moving to angular2 etc.

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