Founding Lead Engineer

Key Responsibilities

• Design, develop, and maintain scalable microservices and RESTful APIs using Python (Flask, FastAPI, or Django).
• Architect data models for SQL and NoSQL databases (PostgreSQL, ClickHouse, MongoDB, DynamoDB) to optimize performance and reliability.
• Implement efficient and secure data access layers, caching, and indexing strategies.
• Collaborate closely with product and frontend teams to deliver seamless user experiences.
• Build responsive UI components using HTML, CSS, JavaScript, and frameworks like React or Angular.
• Ensure system reliability, observability, and fault tolerance across services.
• Lead code reviews, mentor junior engineers, and promote engineering best practices.
• Contribute to DevOps and CI/CD workflows for smooth deployments and testing automation.

Required Skills & Experience

• 10+ years of professional software development experience.
• Strong proficiency in Python, with deep understanding of OOP, asynchronous programming, and performance optimization.
• Proven expertise in building FAST API based microservices architectures.
• Solid understanding of SQL and NoSQL data modeling, query optimization, and schema design.
• Excellent hands on proficiency in frontend proficiency with HTML, CSS, JavaScript, and a modern framework (React, Angular, or Vue).
• Experience working with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).
• Familiarity with distributed systems, event-driven architectures, and messaging queues (Kafka, RabbitMQ).
• Excellent problem-solving, communication, and system design skills.

We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.

You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.

Responsibilities

• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)

• Develop backend services and APIs using Python (FastAPI/Flask)

• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)

• Implement embeddings, prompt flows, and conversation logic

• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs

• Ensure system reliability, performance, and scalability

• Work directly with the founder in shaping the product and roadmap

Requirements

• Strong experience with LLMs & Generative AI

• Excellent Python skills with FastAPI/Flask

• Hands-on experience with LangChain or RAG architectures

• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience

Egregore Labs (http://www.egregorelabs.com/" target="_blank">www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.

We are looking for an experienced fullstack engineer with front-end development experience to join our team.
We will share our workload as a team and we expect you to work on a broad range of tasks.

Here’s are some of the things you might have to do on any given day:

• Implement responsive and performant UIs with user centered approach with frontend technologies including Angular 2, Javascript(ES 6), Typescript, SCSS, etc
• Build back-end REST APIs on Python 3 based server frameworks for deployment and scaling of our product(s)
• Write meaningful test cases for frontend & backend platforms
• Integrate our products with 3rd party products/tools/services
• Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc

• At least 24 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
• Expertise in programming using Python/Javascript or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

Nice to have exposure to any of

• AWS
• Azure
• ELK
• Object Relational Models (SQLAlchemy, etc)
• Google APIs
• Microservices Architecture Pattern
• NodeJS / ExpressJS

We are looking for a person who has

Resourcefulness - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.

Ownership - We like to be directive and not prescriptive in our management. We’d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.

Work Ethic - We’ve grown up on Wall Street. We work hard, and have aggressive goals. We want our team-mates to be focused, goal-oriented and consistent high achievers.

Execution Focus - Our business is about getting things done, and getting things done right. We want outcome focused colleagues who can multi-task, and execute quickly and elegantly.

We are an early stage company. Working here is not for the faint-hearted. An intense and unstructured work environment, lots of excitement and a group of motivated colleagues is what we bring to the table. We ask you to bring your undivided attention, strong worth ethic & resourcefulness. We are Delhi based and work 6 days a week. We operate in a Python environment.

NetSysCon is looking for a Full Stack Engineer for a travel/airline SaaS start-up. They have partnered with major airlines and entertainment brands such as Disney Theatrical Group, Qantas, Iberia, Alaska, Malaysia Airlines, Vistara, IndiGo, Volaris, and others. Their platform offers innovative tools to drive revenue, operational efficiency, and digital shopping conversion.

Job Profile

Work on all elements of the stack from data modeling and back end API's to UI implementation.
Working with airlines on integrations deep within their systems (in person, if you like!).
Assisting with key architecture, platform and infrastructure design.
Ensuring the system runs and scales smoothly, with high availability and resilience to failure.

What we use:
Python, Django, Celery
React, TypeScript
Scikit-learn, PyTorch, Tensorflow
Postgres, Redis
Kubernetes, Docker, AWS, Terraform, CDK, Github Actions

Our client is a tech company first so engineering is the largest, most important department. They care about developer ergonomics and believe investing time and effort in getting software and platform right is not-negotiable. They have:

A comprehensive automated unit test suite (frontend + backend);
Fully automated CI/CD (git push is all you need);
Fully containerized / reproducable dev environment (single-command bootstrap);
Redundant, self-healing, auto-scaling infrastructure;

Requirements

Full-stack engineering experience in at least one of the following languages/frameworks - Backend: Python/Django (preferred), Ruby/Rails, Node;
Frontend: React (preferred), Angular, Vue.
Evidence of exposure to architectural patterns of large, complex web applications (eg, well-designed APIs, asynchronous data pipelines/message queues, distributed systems).
Engineers who have experience with software best practices such as unit testing, reusable components, traceability.

Built a collaboration platform - messaging, voice, video - to be used in mobile apps, web etc. 

● Good understanding of Docker and Kubernetes deployments

Selected candidates day-to-day responsibilities include:

1. Working on computer vision/image processing applications like object classification, segmentation, etc.
2. Working on deep learning algorithms for machine vision based inspection usecases
3. Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data
4. Having full stack development experience will be plus