Business Developer

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.

Experience Required: 3-8 Years

No. of vacancies: 2

Job Type: Full Time

Vacancy Role: WFO

Job Category: Development

Job Description

We are seeking a highly skilled Data Scientist with strong expertise in Computer Vision and Generative AI to join our AI team. The ideal candidate will have hands-on experience developing, fine-tuning, and deploying state-of-the-art vision and diffusion models for real-world applications. You will work on advanced image understanding, segmentation, object detection, depth estimation, image generation, and image editing systems.

Roles & Responsibilities

• Design, train, fine-tune, and deploy computer vision and generative AI models.
• Develop solutions for object detection, segmentation, depth estimation, image inpainting, and virtual staging applications.
• Build and optimize end-to-end pipelines for image understanding and image generation tasks.
• Evaluate model performance using appropriate metrics and implement improvements.
• Create and maintain data annotation, training, validation, and testing workflows.
• Work closely with engineering teams to productionize AI models and services.
• Research and implement the latest advancements in computer vision, diffusion models, and multimodal AI systems.
• Optimize models for inference speed, memory consumption, and scalability.
• Develop robust APIs and model-serving solutions for production environments.
• Document experiments, model architectures, and deployment processes.

Qualifications

• 3+ years of hands-on experience in Machine Learning, Deep Learning, Computer Vision, and Generative AI.
• Proven experience developing, optimizing, and deploying production-grade AI solutions.
• Strong expertise in computer vision models including RF-DETR, DETR variants, YOLO family, Faster R-CNN, Mask2Former, Segment Anything Model (SAM), semantic segmentation, instance segmentation, Depth Anything/Depth Anything V2, and monocular depth estimation.
• Hands-on experience with generative AI and diffusion models such as Stable Diffusion XL (SDXL), ControlNet, image inpainting/outpainting, image-to-image pipelines, LoRA training and fine-tuning, and Hugging Face Diffusers.
• Strong understanding of CNNs, Transformers, Vision Transformers (ViTs), attention mechanisms, and modern deep learning architectures.
• Advanced proficiency in PyTorch, model training, fine-tuning, hyperparameter optimization, and performance evaluation using metrics such as mAP, IoU, Precision, Recall, and F1 Score.
• Strong Python programming skills with experience in FastAPI, Flask, or similar backend frameworks.
• Experience with Docker, containerized deployments, Linux environments, Git, and collaborative development workflows.
• Familiarity with cloud platforms such as AWS, GCP, Azure, or RunPod.
• Experience in dataset preparation, augmentation, annotation, and quality control using tools such as CVAT, Label Studio, Roboflow, or similar platforms.
• Knowledge of multimodal AI systems, vision-language models (VLMs), MLOps practices, CI/CD pipelines, distributed training, and GPU optimization.
• Familiarity with OpenCV, image processing techniques, and synthetic data generation workflows.
• Experience working on projects involving virtual staging, furniture detection and removal, empty room generation, medical image segmentation, industrial inspection systems, depth-aware image editing, real estate AI solutions, or multi-model vision pipelines.
• Strong analytical thinking, problem-solving, research capabilities, and the ability to independently implement emerging AI technologies.
• Excellent communication, collaboration, and technical documentation skills.

Mentor Interns

Own Production

AI/ML based development 

Full stack developer 

with react.js 

node.js 

Python with flex or Django 

RESTful service 

Database 

Docker 

CI/CD

AWS

Strong Power Bi, Power App and SQL skills,

• Design and build compelling analyses, trending and/or forecasting reports using Microsoft Power BI.

• Design and build apps using power apps and power automate.

• Assist in the publishing of metrics dashboards by identifying, analyzing and interpreting trends or patterns in complex data sets.

• Define BI development objectives by analyzing user requirements while envisioning system features and functionality.

• Translate business needs into technical requirements, clearly communicate probable designs and create prototypes.

• Follow data and reporting performance optimization and tuning best practices.

• Conduct analytical activities of system data.

• Conducts complex data analysis and evaluates intangibles providing management with fact-based information.

• Knowledge of the supply chain domain.

• Proven, effective analytical skills

• Ability to work effectively under time constraints and multitask.

• Ability to work collaboratively across multiple functions and departments within the organization.

Role - SEO Executive

About Company -

Our client is a Tech Based Platform for freelance Photographer, Videographers, Food stylist and Cinematographer. Founded by alumni of IIM Bangalore. They are operational in about 100 Cities and 28 Countries. Leader in Food and Real Estate Photography. Done about 7000+ projects across the Globe.

Job description -

1. Implementing and developing SEO strategies

2. Researching the competitors, both on-site and off-site

3. Performing keyword research for content

4. Writing engaging SEO content along with the content

5. Optimizing content regularly on the website

6. Maintaining the website on a regular basis

7. Developing and implementing link-building strategies

8. Collaborating with the digital marketing team

9. Analyzing the website using the analytical tool

10. Proposing changes in the website content.

Minimum experience - 1 year

Requirements

• 2+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• Linux
• SpringBoot or Spring MVC
• Hands-on experience in Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Java 8
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 2+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding AI/ML algorithms is a plus.

• Knowledge of PHP CMS/Frameworks including, Laravel, Yii, CakePHP, and Codeigniter.
• Familiarity with SQL/NoSQL databases, Version Control Tools, and developing Web Services.
• Understanding of object-oriented programming (OOPS)
• Ability to manage projects.
• Good problem-solving skills.

• Apply knowledge of Javascript (ES6) including all the latest features
• Usage of third party libraries for Maps, UI scaling, Styles, Secure storage, Permissions, Navigation, Splash screen, Network. Analytics. Push notifications, Localization, Calendar, etc.
• Build and run apps using Xcode, and Android Studio
• Persistence support using frameworks like Realm
• Comprehend performance issues and solve them
• Knowledge of Git (including merging, branching and resolving merge conflicts)

• Ability to create flexbox driven UI layout
• Configuring ESLint for JS code linting
• Being aware of alternate state management mechanisms like MobX
• Is proficient in either iOS or Android programming too.

• Knowledge of all aspects of React framework
• Components, containers, JSX specification of component UI layout, Component lifecycle
• Props and State mechanism used for data flow
• Various kinds of views (text, button, scroll view, flat list, etc.)
• Navigation
• RN animations and gesture system fundamentals
• Redux state management library
• React Router usage
• JSON/XML parsing