Python
PostgreSQLFounding 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Machine Learning (ML)AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .
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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)
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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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3. Test software to ensure responsiveness and efficiency
4. Participate in code reviews
5. Write clean, scalable & efficient code along with technical documentation
Requirements:
1. 5+ years of backend development experience along with a degree in Computer Science, Statistics, or a relevant field
2. Sound knowledge and application of algorithms and data structures with space and complexities
3. Hands-on experience with JavaScript and Node.js
4. Knowledge of scripting languages like Python is a plus point.
5. Effective communication skills: Regularly achieve consensus with peers and clear status updates
6. A willingness to learn new technology, whatever lets you deliver the best product
Benefits:
1. You get to work in a liberal environment with some of the best engineers and entrepreneurs
2. Competitive CTC along with the opportunity to receive ESOPs/Tokens
3. Remote work culture
Bonus Points:
1. Understanding of web3 concepts
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3. Founded or have worked as a founding engineer in a startup previously.
4. Experience working with a remote team
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deploying highly scalable and robust cloud based intelligent solutions.
● Architect & Design, code high performance and scalable solutions that meet the needs of millions of customers.
● Implement cutting-edge models and algorithms that operate on massive amounts of data.
● Working on the REST framework
● Working on session-based and token-based authentication, Working on Celery
● Handling the payment gateway
● Work with Multi-threading, Data Structures, Algorithm, Design Patterns and develop robust high-performance and scalable applications.
● Writing scalable code using Python programming language.
● Developing back-end components.
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● Good experience with Nodejs & Express js.
● Good with MySQL
● Experience with Linux Scripting
● Experience with elastic search and Logstash
● Experience with cyber security
● Great interpersonal and communication skills candidate can work independently
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● Excellent communication skills.
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PythonDjango
MongoDB- 2+ years of Hands-on experience in Python, Django, Flask, Bottle, Design Patterns, Web Services (SOAP/HTTP, REST APIs)
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NodeJS (Node.js)PostgreSQLJob brief
We are looking for an experienced Back-end developer to join our IT team. You will be responsible for the server-side of our web applications.
If you have excellent programming skills and a passion for developing applications or improving existing ones, we would like to meet you. As a Back-end developer, you’ll work closely with our engineers to ensure system consistency and improve user experience.
Ultimately, you should be able to develop and maintain functional and stable web applications to meet our company’s needs.
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At Netradyne, we are revolutionizing the conventional mapping paradigm with our Dynamic mapping technology. Our unique approach leverages computer vision, Edge Computing, and crowd sourcing to deliver rich, highly accurate content in real-time, critical to the successful development of maps
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- Development of various cloud/web components to ingest, process, transform and visualize data at scale.
- Contribute to algorithm development and automated evaluation for measuring quality.
- Follow engineering best practices (unit testing, continuous delivery etc.)
- Deployment and monitoring of production ready infrastructure
Skills
- Strong analytical and problem-solving skills.
- 3-7 years strong programming experience in Python/Java .
- Hands on knowledge in at least one MVC and ORM frameworks.
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Amazon Web Services (AWS)Mentor To Go is an android and web based platform to help students improve their work readiness through self-learning sessions, personalised mentorship provided by mentor professionals from a range of careers, and work experience opportunities.
The technology platform implements functionalities such as: screening surveys of mentors and mentees, training content for mentors, matching through an algorithm, and mentorship through the delivery of structured activities.
The application technology architecture comprises of the following:
o a Python Django web application with NGinx and Gunicorn
o PostgreSQL database
o A React Android and Web app
o Rest APIs which interact between the Android app and the Django webserver
Our vision at Mentor To Go is to provide career mentorship to young people anywhere, anytime across the length and breadth of India.
We are looking for a backend software developer who is passionate about using web technologies to solve social problems and creating experiences that are elegant and effective. You will own the back end development of features of the Mentor To Go platform from conceptualisation through design and testing, working closely with other developers, the technical project manager, and the program operations team. You are user-centric, continuously demonstrate strategic & analytical abilities, and are laser focused on executing at speed. You must have the ability to succeed in a fast paced environment, where success is dependent on your ability to collaborate with cross-functional team members in a positive, productive, and transparent way.
Minimum requirements
- Bachelor’s degree in engineering preferably CS or related discipline
- 3+ years experience working in Unix/Linux environments building web and mobile applications
- Proficiency in developing and deploying cloud based Python/Postgresql applications preferably using frameworks such as Django
- Experience with design and development of moderately complex software projects
- Strong written and oral communication skills
- Familiarity with version control software such as Git
Desired requirements
- 5+ years of overall relevant work experience
- Experience building apps using React/React-Native
- Basic understanding of AWS cloud
- Ability to participate in technical discussions and help make technical trade-offs
About Mentor Together
https://mentortogether.org/">Mentor Together is India’s first and largest youth mentoring non-profit organization with a mission to facilitate empowering mentoring relationships and networks that help young people break the inequalities of opportunity and actualise their potential.
http://bit.ly/mentortogo">Mentor To Go is the world’s first mobile mentoring platform created by Mentor Together with the support of Cisco India, LinkedIn Social Impact, British Telecom and Sterlite Technologies.
PythonJavascript
PHP
Ruby on Rails (ROR)NodeJS (Node.js)
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Full Stack Developer - Averlon