Data Scientist

We are looking for a strong C# to build high-performance plugins, automation tools, and integrations for complex desktop and engineering software systems.

This role focuses on core software engineering, including plugin development, API integrations, and data processing. You will work on real-world problem solving involving structured data, workflows, and system integrations.

Key Responsibilities

• Design and develop robust applications and plugins using C#
• Build and maintain modular, scalable, and high-performance codebases
• Integrate with hird-party APIs and software platforms
• Work on data-heavy workflows involving structured and semi-structured data
• Debug, optimize, and improve existing systems
• Collaborate with cross-functional teams to convert requirements into technical solutions
• Write clean, testable, and well-documented code

Required Skills & Qualifications (Primary Hiring Criteria)

• Strong proficiency in C#
• 1–2 years of experience in software development
• Solid understanding of:
•  Object-Oriented Programming (OOP)
• Data Structures & Algorithms
• Design patterns

Experience in at least one of:

 Desktop application development

 Backend systems

 Plugin/add-in development

• Strong experience working with APIs and integrations
• Good debugging and problem-solving skills

Good to Have

• Experience with plugin ecosystems or extensible applications
• Familiarity with WPF / WinForms
• Exposure to Python scripting
• Experience with JSON, XML, SQL
• Interest in 3D systems, CAD, or engineering tools

Domain Exposure (On the Job)

• Working with BIM tools such as Autodesk Revit
• Developing automation for engineering and design workflows
• Handling geometric and spatial data

Founding Engineer (Bangalore)

The problem:

Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.

What you will own

Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:

• A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works
• An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output
• A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies
• ERP connectors, GST validation logic, and a write-back layer that closes the loop

What we need

• Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load
• Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast
• LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed
• Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person
• Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are
• You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke. That pattern needs to be visible in your history

Good to have, not mandatory

• Built an agentic pipeline with multiple stages
• Any fintech, P2P domain experience - even tangential
• Worked at a startup with under 20 people
• Has a GitHub, blog, or writeup that shows how you think about a hard technical problem

What you get

• The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on
• Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now
• Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise
• No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why

Honest about stage: We do not have a production ready infra yet. We have a complete architecture specification and a working prototype. If you need the stability of an established engineering org, this is not the right moment. If you want to build something real from zero and own a meaningful piece of it, it is.

The founders

One of us has spent 20 years building revenue and operational engines at companies where there was no playbook - part of the pilot team that established the world's largest search company's direct sales operations in India, managed global operations for a global mobile advertising platform, scaled a B2C platform to become one of India’s leading edtech platforms and most recently worked on building an enterprise Agentic Voice AI platform. The other has spent 15 years taking AI from demo to production in domains where failure is expensive - voice, lending, and conversational systems across a Series D conversational AI company, a major telco, a Big 4, and a leading NBFC.

Two IIT/IIM alumni who have both watched AI work in enterprise, and know exactly what it takes to get it there. We are not building this product because it sounds interesting. We are building it because we have both sat across the table from CFOs who know they are losing margin and have no tool capable of doing anything about it.

👉 Job Title: Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are looking for a Backend Engineer to join the Platform Implementation Team, responsible for building scalable, secure, and high-performance backend systems for a multi-cloud Data & AI platform. You will design microservices, develop REST APIs, and enable seamless data integration across enterprise systems like CRM and ERP.

💫 Key Responsibilities

✅ Design and develop scalable microservices and RESTful APIs

✅ Build event-driven architectures for asynchronous processing

✅ Integrate backend systems with cloud platforms (GCP/Azure)

✅ Ensure secure, reliable, and optimized data handling

✅ Collaborate with cross-functional teams (UI, Data, Platform)

✅ Follow best practices in coding, testing, CI/CD, and containerization

💫 Mandatory Skills (Top 3)

✅ Strong backend programming experience (Python / Node.js / Java)

✅ Expertise in API development & Microservices architecture

✅ Hands-on experience with Cloud platforms (GCP or Azure)

Job Title: Python Developer (Full Time)

Location: Hyderabad (Onsite)

Interview: Virtual and Face to Face Interview (Last round)

Experience Required: 4 + Years  

Working Days: 5 Days

About the Role

We are seeking a highly skilled Lead Python Developer with a strong background in building scalable and secure applications. The ideal candidate will have hands-on expertise in Python frameworks, API integrations, and modern application architectures. This role requires a tech leader who can balance innovation, performance, and compliance while driving successful project delivery.

Key Responsibilities

1. Application Development

• Architect and develop robust, high-performance applications using Django, Flask, and FastAPI.

1. API Integration

• Design and implement seamless integration with third-party APIs (including travel-related APIs, payment gateways, and external service providers).

1. Data Management

• Develop and optimize ETL pipelines for structured and unstructured data using data lakes and distributed storage solutions.

1. Microservices Architecture

• Build modular, scalable applications using microservices principles for independent deployment and high availability.

1. Performance Optimization

• Enhance application performance through load balancing, caching, and query optimization to deliver superior user experiences.

1. Security & Compliance

• Apply secure coding practices, implement data encryption, and ensure compliance with industry security and privacy standards (e.g., PCI DSS, GDPR).

1. Automation & Deployment

• Utilize CI/CD pipelines, Docker/Kubernetes, and monitoring tools for automated testing, deployment, and production monitoring.

1. Collaboration

• Partner with front-end developers, product managers, and stakeholders to deliver user-centric, business-aligned solutions.

Requirements

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Technical Expertise

• 4+ years of hands-on experience with Python frameworks (Django, Flask, FastAPI).
• Proficiency in RESTful APIs, GraphQL, and asynchronous programming.
• Strong knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB) and big data tools (Spark, Kafka).
• Familiarity with Kibana, Grafana, Prometheus for monitoring and visualization.
• Experience with AWS, Azure, or Google Cloud, containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitLab CI).
• Working knowledge of testing tools: PyTest, Selenium, SonarQube.
• Experience with API integrations, booking flows, and payment gateway integrations (travel domain knowledge is a plus, but not mandatory).

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication, presentation, and teamwork abilities.
• Proactive, ownership-driven mindset with the ability to perform under pressure.

About Wokelo:

Wokelo is an LLM agentic platform for investment research and decision making. We automate complex research and analysis tasks traditionally performed by humans. Our platform is leveraged by leading Private Equity firms, Investment Banks, Corporate Strategy teams, Venture Capitalists, and Fortune 500 companies.

With our proprietary agentic technology and state-of-the-art large language models (LLMs), we deliver rich insights and high-fidelity analysis in minutes—transforming how financial decisions are made.

Headquartered in Seattle, we are a global team backed by renowned venture funds and industry leaders. As we rapidly expand across multiple segments, we are looking for passionate individuals to join us on this journey.

Requirements:

• 0-1 years of experience as a Software Developer.
• Bachelor’s or Master’s degree in Computer Science or related field.
• Proficiency in Python with strong experience in Django Rest Framework.
• Hands-on experience with Django ORM.
• Ability to learn quickly and adapt to new technologies.
• Strong problem-solving and analytical skills.
• Knowledge of NLP, ML models, and related engineering practices (preferred).
• Familiarity with LLMs, RLHF, transformers, embeddings (a plus).
• Prior experience in building or scaling a SaaS platform (a plus).
• Strong attention to detail with experience integrating testing into development workflows.

Key Responsibilities:

• Develop, test, and maintain scalable backend services and APIs using Python (Django Rest Framework).
• Work with Django ORM to build efficient database-driven applications.
• Collaborate with cross-functional teams to design and implement features that enhance the Wokelo platform.
• Contribute to NLP engineering and ML model development to power GenAI solutions (preferred but not mandatory).
• Ensure testing and code quality are embedded into the development process.
• Research and adopt emerging technologies, providing innovative solutions to complex problems.
• Support the transition of prototypes into production-ready features on our SaaS platform.
• Perform adhoc tasks as and when required/assigned by manager.

Why Join Us?

• Opportunity to work on a first-of-its-kind Generative AI SaaS platform.
• A steep learning curve in a fast-paced, high-growth startup environment.
• Exposure to cutting-edge technologies in NLP, ML models, LLM Ops, and DevOps.
• Collaborative culture with global talent and visionary leadership.
• Full health coverage, flexible time-off, and remote work culture.

Responsibilities for Staff Engineer role:

• Having experience in Java/Python/Golang along with Springboot, Micorservices, RDBMS
• Experience required: 10yrs to 15 yrs.