GenAI Engineer (LLM) | Python | RAG | LangChain | AI Integration

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.

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.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

• Must have knowledge of at least two PHP frameworks out of Laravel, Cakephp, CodeIgniter and YII.
• Must have basic knowledge of HTML, CSS, JavaScript and jQuery.
• Knowledge of CMS architectures like Wordpress, Joomla, Drupal etc. will be an added advantage.
• Knowledge of eCommerce frameworks like WooCommerce, Magento, OpenCart etc will be an added advantage.
• Good knowledge of Object-Oriented Concepts & a strong passion for Software Development.
• Strong Interaction and Design Sense
• Familiarity with LAMP stack (Apache, MySQL and phpMyAdmin)
• Comfortable with SQL and/or Script Programming.
• Experience in Designing & Developing Database in MySQL is a MUST.

Your Responsibilities:

• Responsible for overall tech stack of the product
• Designing overall architecture of the web/ mobile application
• Maintain quality and ensure responsiveness of applications
• Exposure to security and data protection management
• Building modular, reusable codes and libraries
• Ability to build product from scratch & drive it to completion
• Optimize applications for best user experience
• Development experience for both mobile and web based products.
• Unit Testing of developed modules

Skills:

Front-End

• Web fundamentals like HTML, JavaScript, and CSS
• CSS preprocessors like Sass, LESS, bootstrap
• JavaScript frameworks like React js, AngularJS, or Ember etc.
• Libraries like jQuery or Backbone.js
• Front-end (CSS) frameworks like Foundation or Bootstrap
• Web sockets

Back-End

• Rest API design and development
• CRUD (Create, Read, Update, Delete)
• RESTful Services
• Web fundamentals like React js, HTML, JavaScript, and CSS
• Server-side languages like Javascript, PHP, Python
• Database technologies like MySQL and MongoDB.
• Web server technologies like Node.js, Nginx, ISS, etc.

About Tweeny:
We are a team of passionate software Ninjas who design scalable software solutions.

We solve some of the interesting problems for our clients in a variety of sectors. We are also developing our own products where we are seeking bright minds with creative thinking.
We are a fast-paced and young team of fun-loving engineers. For us, work is not just a job but it's a way to grow & learn together while doing what we love.

We are looking to hire on MERN stack position (full stack engineering profile) although if you have worked only on either ReactJS/Native or NodeJS stack, please do apply as well.

We are hiring for a few specific teams at our organization that is building utility and functional web application experiences (as marketplace applications) that solving some interesting problems for remote workforce management.

Requirements:

• 2-5 years of experience working with React JS, Node JS, and other advanced JavaScript libraries and frameworks.
• Ability to understand business requirements and translate them into technical requirements.
• Strong software engineering skills with the proven ability to build, deploy, and maintain a scalable codebase.
• Experience working with remote data using RESTful APIs and JSON.
• Strong understanding of development tools and technologies like ES6, Redux, Immutable, JSX Components, Bootstrap, HTML, CSS, Git, NPM, Express.
• Strong understanding of any build tool like Webpack, Babel, Gulp, or similar.
• Strong affinity for benchmarking and performance optimization.
• Experience deploying applications to the cloud and setting up CI/CD is a plus.
• Experience building container images using tools like Docker is a plus.
• Ability to learn new languages and technologies.
• B.E/B.Tech in Computer Science, Engineering, or a related field.

• Produce clean, efficient code based on specifications
• Integrate software components and third-party programs
• Verify and deploy programs and systems
• Troubleshoot, debug and upgrade existing software
• Recommend and execute improvements for the software development and software delivery life cycle
• Ensure the highest standard of performance, quality, and responsiveness of the applications.

About Us

We have grown over 1400% in revenues in the last year.

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.

Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. 

We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups. 

We are a fully remote team.

Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.

As a SDE III, you will be :

1. Designing and implementing FullStack applications of interface.ai’s conversational AI platform and playing a significant role in evolving them.
2. Working with a team of driven and passionate engineers working on cutting edge technology, who take pride in solving complex problems.
3. Engaging in cross-functional team discussions on Product, design, QA, deployment and maintenance,  in a fast-moving collaborative set up.
4. Building reusable code and libraries for future use
5. Analyzing high level requirements, breaking it down into workable/demoable tasks, estimating them and delivering with high quality.
6. Contributing to improve our engineering processes, tooling, and standards.

1. Are extremely self motivated
2. Have ability to learn quickly
3. Have a growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
4. Have Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
5. Are Passionate about the possibilities at the intersection of AI + Banking
6. Have worked in a startup of 5 to 30 employees
7. Have outstanding problem-solving abilities
8. Have proactive outlook for ways to make the solution better
9. Have 5+ years of experience in delivering scalable complex technical products
10. Have Good knowledge of distributed technologies, low latency, and highly scalable systems. 
11. Have Expertise in JavaScript and Node.js
12. Have Hands-on experience in Node.JS / Express.JS / Hapi.js / Koa.js (or any other Web Framework), and Relational Databases (preferably PostgreSQL)
13. Have Expertise with unit testing & Test Driven Development (TDD)
14. Have Hands-on experience in Mocha or other Javascript testing frameworks
15. Have experience working with react, python (Nice to have)
16. Have hands-on experience in developing applications using microservices, container technologies, container management systems such as Kubernetes
17. Have a strong understanding of systems using real-time interactions (web sockets, long-polling, server-sent events)
18. Have hands-on experience in the Implementation of security and data protection
19. Are eager to learn new technologies
20. Have excellent written and verbal communication skills, including the ability to write detailed technical documents.
21. Are passionate about helping teams grow by inspiring and mentoring engineers

• Experience in software / web application architecture, estimates, design and development experience
• Knowledge of formal methods and techniques in software development
• Experience / Knowledge in the following technologies/languages/libraries/frameworks:
  • Primary Experience in C#, NodeJS and React JS.
  • Add on experience in HTML5, CSS, jQuery, JSON, API, Angular JS, AWS / Azure.
  • Experience with Version Control Software (GIT)

ROLES AND RESPONSIBILITIES

• Open to adapt to new technologies.
• Ability to multi-task and work under pressure.
• Work with development teams and reporting managers to ideate software solutions
• Should have ability to understand Client requirements & deliver quality services based on those requirements.
• Excellent written and verbal communication skills required.
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

REQUIREMENTS

1. Expertise in Angular 6/7 with 2+ Years’ experience is MUST.
2. Proven experience as a Full Stack Developer or similar role.
3. Experience developing web, mobile or hybrid applications.
4. Knowledge of multiple front-end languages and libraries as HTML5, CSS3, JavaScript, XML, jQuery, JSON.
5. Knowledge of JavaScript/Typescript frameworks as js.
6. Familiarity with databases as MySQL, MongoDB and web servers with UI/UX design
7. Experience on web application & RESTful web service
8. Experience implementing testing platforms and unit tests.
9. Job involves 80-90% hands-on coding.
10. Good to have the knowledge of Cloud deployment AWS and Docker