AI/ML Engineer

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 Description :

Responsibilities :

- Design and develop Python-based microservices

- Build and operate gRPC / Protobuf-based APIs

- Implement asynchronous processing, concurrency, and job orchestration

- Design systems with retries, idempotency, and fault tolerance

- Work with and integrate native C/C++ components with Python services

- Design and optimise PostgreSQL schemas and queries

- Contribute to React-based frontend applications (TypeScript/JavaScript)

- Own features end-to-end : design, development, deployment, and monitoring

- Debug issues across application, system, and performance layers

- Build and maintain CI/CD pipelines and automated tests

Requirements :

- Strong experience in Python backend development (sync + async)

- Hands-on experience with gRPC / Protobuf-based APIs

- Experience with FastAPI / Flask / Django

- Strong understanding of microservices and distributed systems

- Experience with PostgreSQL and data modeling

- Exposure to React / JavaScript / TypeScript

- Knowledge of concurrency, multi-threading, and system design

- Strong understanding of Linux systems and debugging

- Experience in production environments (performance tuning, issue resolution)

- Exposure to C/C++ or Python-native integrations (preferred)

Qualification :

- Engineering Graduates from Tier 1 & Tier 2 Colleges/Deemed Universities only

- Open for candidates from outstation.

- Experience range : 12 - 15 years (but not more than 15 years of experience)

- Strictly Individual contributors, Handson coding. 80% Individual Contributor & 20% Architecture, Design, Systems

You will own the end to end implementation and operation of AI powered outbound campaigns for our clients. That means taking a client brief, understanding their target market, building the systems that research and engage prospects, and making sure those systems run reliably without hand holding.

This is not a "connect two Zapier steps and call it automation" kind of role. You will be designing multi step workflows where AI agents research companies, enrich data through APIs, personalize messaging intelligently, and deliver outputs into client tools. Each campaign is a custom system with moving parts that need to work together cleanly.

What your weeks will look like:

You will onboard new clients, understand their ICP and outreach goals, then build and deploy the technical infrastructure to execute those campaigns. You will monitor live campaigns, troubleshoot when something breaks, and optimize for better results over time. You will hop on video calls with clients when needed, but the bulk of your time is building and maintaining systems that work.

Specifically, you will:

Build and manage complex n8n workflows that pull data from multiple sources, enrich it through APIs and AI, and deliver personalized outputs. Design Airtable bases that structure client data, automate processing, and integrate with external tools. Set up and manage email infrastructure: domains, deliverability, sending sequences. Use AI tools (Claude, GPT) to build research and personalization layers into client workflows. Handle client onboarding, ongoing communication, and technical troubleshooting. Own your campaigns. When something breaks at 2 PM on a Tuesday, you fix it. When a client asks why response rates dropped, you investigate and have an answer.

Who This Is For

You are someone who figures things out. You read documentation, test until it works, and do not give up when the first approach fails. You have strong technical intuition even if you are not a traditional developer. You understand how APIs work, how data flows between systems, and how to debug when something is not behaving as expected.

You follow AI developments closely. Not casually. You know the practical performance difference between Claude Opus 4.6 & GPT 5.4 🙃, you have opinions on which tools are overhyped, and you have probably built something with AI that you are proud of, even if it was just for yourself.

You are hungry. Not in a cliché motivational poster way. You genuinely want to get better at what you do, you take ownership of your work, and you do not need someone checking in on you every few hours to make sure you are making progress.

Core skills (non negotiable):

• n8n: You have built workflows and understand how nodes, data flow, and error handling work.
• AI tools: Regular, meaningful use of Claude or ChatGPT. You know how to prompt effectively and understand the limitations.
• Technical aptitude: You pick up new tools fast and figure things out from documentation, not tutorials.
• English proficiency: Written and spoken. You will be communicating with international clients.

Great to have (you can learn these on the job):

Experience with cold email and outbound systems (Smartlead, Instantly, or similar). Understanding of email deliverability (SPF, DKIM, domain setup). API integration and webhook experience. Data enrichment workflows using tools like Apollo, web scraping, or similar.

Work Setup

Fully remote. Work from anywhere. 5 day week. You manage your own schedule as long as the work gets done and you are available for client calls when needed.

Why This Role Is Different

You are not joining a company to work on traditional endangered tech job, but working with AI all day long, and deploying it's outbound systems for clients. You are building and running AI infrastructure for organizations that most people only see on TV. The problems you solve are genuinely novel. There is no tutorial for most of what we do. You will learn faster here in 3 months than you would in years at most places, because we operate at the intersection of AI, automation, and high stakes client work.

If you are the kind of person who gets excited about building systems that actually work in the real world, not just demos, this is your role.

How to Apply

If you have a portfolio of n8n workflows, Airtable bases, or any AI projects you have built, include links. We value what you have actually built over what is listed on your resume. Practical proof of work is valued 100x than just writing cool things in your application.

AVOID WRITING USING AI ANYWHERE IN YOUR APPLICATION. WE WORK WITH AI ALL DAY. ANY APPLICATIONS WRITTEN USING AI WILL NOT BE READ AND WILL BE REMOVED BY OUR AI QUALIFIER AGENT ITSELF 🙂

Job Description: 

Ideal experience required – 6-8 years

• Mandatory hands-on experience in .Net Core (8)
• Mandatory hands-on experience in Angular (10+ version required)
• Azure and Microservice Architecture experience is good to have.
• No database or domain constraint

Skills:

• 7 to 10 years of working experience in managing .net projects closely with internal and external clients in structured contexts in an international environment.
• Strong knowledge of .Net Core, .NET MVC, C#, SQL Server & JavaScript
• Working experience in Angular
• Familiar with various design and architectural patterns
• Should be familiar with Git source code management for code repository.
• Should be able to write clean, readable, and easily maintainable code.
• Understanding of fundamental design principles for building a scalable application
• Experience in implementing automated testing platforms and unit test. 

Nice to have:

• AWS
• Elastic Search
• Mongo DB

Responsibilities:

• Should be able to handle modules/project independently with minor supervision.
• Should be good in troubleshooting and problem-solving skills.
• Should be able to take complete ownership of modules and projects.
• Should be able to communicate and coordinate with multiple teams.
• Must have good verbal & written communication skill.