
Field Sales, Revenue 💵 - PagarBook
( Temporary fulltime )
About Pagarbook:
1. Employee Management at your Fingertips. PagarBook - India's Best Payroll
and Attendance
2. Management tool for Small & Medium Enterprises. Using PagarBook, a
business owner can maintain all the records of their employees digitally
and can get insights around the same.
3. PagarBook is free & easy to use employee management, work & payroll
management software app where you can manage all your staff and
employee’s attendance, record the work done by your staff and employees
and their salary, payments & advances can also be recorded in this app.
4. Sms & WhatsApp notification to employees and staff about payments,
bonuses, daily work, attendance & leaves.
5. The Sales would be done for premium desktop version of the application
6. Benefits of desktop application:
a. Better and Easier accessibility, also available on mobile web
b. Access to rich reports which gives you business knowledge, spend
c. Unlimited free upgrades for a year
About Sales team:
The field sales team at PagarBook is all about solving SME’s customer problems
and ensuring we deliver compelling value propositions.
On a typical day, the sales team:
● drives the adoption of a premium version of Pagarbook, sold at a
subscription fee per annum
● never-say-no attitude, and comes with a win-all attitude
● At the same time, a core ingredient of the DNA is customer empathy
● We should always ensure the customer is well informed of all the benefits of
the solution, before we close the sales.
Responsibilities and Duties of sales associate:
● You will pitch about PagarBook desktop solution on field to customers
● You will explain the benefits of PagarBook desktop solution to customers
○ Better and Easier accessibility, also available on mobile web
○ Access to rich reports which gives you business knowledge, spend
○ Unlimited free upgrades for a year
● The users can register on the desktop for a free trial for 7 days first
● Sales associate would convert the customer into a paid customer
Mandatory requirements:
● Having your own bike is a must
● Field sales experience is a must (telecom, FMCG and financial sales
experience adds more weightage)
● Local language knowledge in the city of operations is a must
● Graduation in any field is sufficient
Benefits:
● Fixed salary (~15-18k a month)
● Targets based incentives (extremely attractive)
● Petrol allowance ~upto INR 3,000 (on actual bills)
● Initial job posting would be for 3 months - based on good performance,
conversion to full time employment would be granted
Key Areas of Responsibility (KRAs):
● Onboarding of Customers
○ Meet 30 new clients a day (tracked)
○ Get free trial enabled for 20 clients a day
○ Get 3 sales (paid customers, 10% conversion) per day -
non-negotiable output
● Retaining customer accounts
○ While we build new businesses, cross-selling would be key
○ Customers should keep using PagarBook desktop beyond 30 days of
activation
● Grow customer basket size
○ Identify key SME clusters in the city and prepare an acquisition plan
○ Go aggressive and acquire
● Business acumen & key skills
○ Strong knowledge on PagarBook sales process, services and product
○ Local Market and competition knowledge and clear articulation of
PagarBook advantages
○ Strong negotiation and influencing skills to create win-win
○ Give continuous feedback to internal teams to improve our
customer service level
Finally, remember, you are the PagarBook brand ambassador on the ground! All
the best.
Requirements for field sales - Phase 1 (50):
Madya Pradesh
Bhopal
Ahmedbad

About PagarBook
About
We are a team of IIT and NIT alumni, building an easy to use Human Resource Management platform for Small and Medium Enterprises. We are some crazy bunch of folks passionate about solving some real life problems. If you also want to leave a mark on human history, this is the right place. We are based out of Bangalore and are backed by renowned VC firms.
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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.
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- AI agents that automate mortgage underwriting, quality control, compliance, and document review.
- RAG-based knowledge systems that reason across large collections of mortgage documents.
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- 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.
Strong Software Engineering Profile
Mandatory (Experience 1): Must have 7+ years of experience using Python to design software solutions.
Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.
Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka
Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure
Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.
Mandatory (Education): From IIT (Candidate should have done bachelor degree Btech or Dual degree Btech+Mtech or Intergrated Msc), From other premium institutes NIT, MNNIT, VITS, BITS (Candidates should have done B.E/B.Tech)
Preferred
Preferred (Skills 1): Experience in Task Queues like Celery and RabbitMQ is preferred.
Preferred (Skills 2): Experience with RDBMS/SQL is also preferrable.
Preferred (Education): Computer science
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