Python Tech Lead

What we're building

We're a small, sharp team — founders, IIT/IIM folks, and industry veterans who've done this before. No bureaucracy, no layers, no meaningless standups. You'll work directly with the founding team on problems that are genuinely hard.

What we need from you

You've spent 4–8 years in AI/ML, and at least 2 of those years building real multi-agent systems — not demos, not POCs that never shipped. You've worked on at least 2 multi-agent platforms (AutoGen, CrewAI, LangGraph, custom orchestration — whatever, as long as agents were actually coordinating and not just chained prompts).

You think about:

• Agent memory, state, and context management
• Inter-agent communication and task delegation
• Failure handling, retries, and graceful degradation
• Tool use, MCP, and external system integration
• Evaluation and observability of agent behaviour

You're probably a fit if:

• You've debugged an agent loop at 11pm and found it weirdly satisfying
• You have opinions about when not to use an agent
• You care about systems that work in production, not just on your laptop

You're not a fit if:

• Your portfolio is mostly RAG pipelines and chatbots
• Your multi-agent experience is only a tutorial project or a hackathon demo

What we offer

• Best-in-class pay — we benchmark against top-tier tech and don't lowball on talent
• Direct access to founders and a senior team of IIT/IIM grads and industry veterans
• Flexible work — async-friendly, output-driven, no performative office hours
• Real technical ownership — you'll make architecture decisions, not just implement them
• Small team means your work ships fast and actually matters

Why Sentiaflow, honestly We're early. That means some things aren't figured out yet. But it also means the person we hire here will have shaped how this company thinks about agentic systems from day one. If you want to inherit a codebase and execute tickets, we're not the right place. If you want to build something from scratch with people who take the craft seriously, let's talk.

How we hire A quick intro call to get to know each other. If there's a fit, show us something you've built — a demo, a walkthrough, a system you're proud of. That's the interview. No better signal than watching someone talk about their own work.

Role & Responsibilities:

We are seeking a Software Developer with 2-10 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities

• Develop, test, and maintain Python-based applications and APIs.

• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.

• Work with JSON-based data structures for request/response handling. • Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.

• Collaborate with the product and AI teams to implement new features. • Debug, troubleshoot, and optimize performance of applications and workflows.

• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Required Skills & Qualifications

• Strong knowledge of Python (scripting, APIs, data handling).

• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.

• Experience with JSON data parsing and transformations.

• Familiarity with PostgreSQL or other relational databases.

• Ability to write clean, maintainable, and well-documented code.

• Strong problem-solving skills and eagerness to learn.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice-to-Have (Preferred)

• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).

• Experience working in startups or fast-paced environments.

• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).

What We Offer

• The opportunity to define the future of GovTech through AI-powered solutions.

• A strategic leadership role in a fast-scaling startup with direct impact on product direction and market success.

• Collaborative and innovative environment with cross-functional exposure.

• Growth opportunities backed by a strong leadership team.

• Remote flexibility and work-life balance.

Our Mission

To make video as accessible to machines as text and voice are today.

At lookup, we believe the world's most valuable asset is trapped. Video is everywhere, but it's unsearchable—a black box of insight that no one can open or atleast open affordably. We’re changing that. We're building the search engine for the visual world, so anyone can find or do anything with video just by asking.

Text is queryable. Voice is transcribed. Video, the largest and richest data source of all, is still a black box. A computer can't understand it, and so its value remains trapped.

Our mission at lookup is to fix this.

About the Role

We are looking for founding Backend Engineers to build a highly performant, reliable, and scalable API platform that makes enterprise video knowledge readily available for video search, summarization, and natural‑language Q&A. You will partner closely with our ML team working on vision‑language models to productionize research and deliver fast, trustworthy APIs for customers.

Examples of technical challenges you will work on include: distributed video storage, a unified application framework and data model for indexing large video libraries, low‑latency clip retrieval, vector search at scale, and end‑to‑end build, test, deploy, and observability in cloud environments.

What You’ll Do:

• Design and build robust backend services and APIs (REST, gRPC) for vector search, video summarization, and video Q&A.
• Own API performance and reliability, including low‑latency retrieval, pagination, rate limiting, and backwards‑compatible versioning.
• Design schemas and tune queries in Postgres, and integrate with unstructured storage.
• Implement observability across metrics, logs, and traces. Set error budgets and SLOs.
• Write clear design docs and ship high‑quality, well‑tested code.
• Collaborate with ML engineers to integrate and productionize VLMs and retrieval pipelines.
• Take ownership of architecture from inception to production launch.

Who You Are:

• 3+ years of professional experience in backend development.
• Proven experience building and scaling polished WebSocket, gRPC, and REST APIs.
• Exposure to distributed systems and container orchestration (Docker and Kubernetes).
• Hands‑on experience with AWS.
• Strong knowledge of SQL (Postgres) and NoSQL (e.g., Cassandra), including schema design, query optimization, and scaling.
• Familiarity with our stack is a plus, but not mandatory: Python (FastAPI), Celery, Kafka, Postgres, Redis, Weaviate, React.
• Ability to diagnose complex issues, identify root causes, and implement effective fixes.
• Comfortable working in a fast‑paced startup environment.

Nice to have:

• Hands-on work with LLM agents, vector embeddings, or RAG applications.
• Building video streaming pipelines and storage systems at scale (FFmpeg, RTSP, WebRTC).
• Proficiency with modern frontend frameworks (React, TypeScript, Tailwind CSS) and responsive UI design.

Location & Culture

• Full-time, in-office role in Bangalore (we’re building fast and hands-on).
• Must be comfortable with a high-paced environment and collaboration across PST time zones for our US customers and investors.
• Expect startup speed — daily founder syncs, rapid design-to-prototype cycles, and a culture of deep ownership.

Why You’ll Love This Role

• Work on the frontier of video understanding and real-world AI — products that can redefine trust and automation.
• Build core APIs that make video queryable and power real customer use.
• Own systems end to end: performance, reliability, and developer experience.
• Work closely with founders and collaborate in person in Bangalore.
• Competitive salary with meaningful early equity.

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

• At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large scale social or location-based app.

Job Brief

Primary Responsibilities:

• Obtaining in-depth understanding of design and implementation of existing software product
• Performing all phases of software engineering including requirements analysis, design, estimation, and development & testing
• Applying innovation and creativity in design and implementation of features
• Designing reusable components, frameworks and libraries
• Troubleshooting production support issues post-deployment and come up with solutions as required
• Follow the processes defined by the project manager and the organization

General Requirements

• 2+ years of experience in full-stack development in python based technologies.
• Experienced in relational database technologies
• Good in data structures and algorithms
• Good written and verbal communication skills
• Self motivated and willing to learn new technologies
• Experience in AWS cloud technologies is plus

Technologies

• Python, Django
• Angular
• JavaScript, HTML, CSS  technologies
• Must understand AJAX and REST

Senior Software Engineer (Python)

Job description

Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.

As a senior software engineer, you will work on our python based ORM and applications that scales to handle millions of transactions every hour. This is mission critical software and your primary focus will be building robust and scalable solutions that are easy to maintain.

In this role, you will be collaborating closely with the rest of the team working on different layers of infrastructure in an international environment. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product are important.

What You’ll Do:

• Own definition and implementation of API interfaces (REST and GraphQL). We take pride in our 100% open API with over 600 endpoints.
• Implement simple solutions to complex business logic that enables our merchants to manage financials, orders and shipments across millions of transactions.
• Build reusable components and packages for future use.
• Translate specs and user stories into reviewable, test covered patches.
• Peer review code and refactor existing code.
• Integrate with our eCommerce partners (Shopify, BigCommerce, Amazon), shipping partners (UPS, USPS, FedEx, DHL) and EDI.
• Manage Kubernetes and Docker based global deployment of our infrastructure.

Requirements

We’re Looking for Someone With:

• Experience working with ORMs like SQLAlchemy or Django
• Experience with SQL and databases (Postgres preferred)
• Experience in developing large server side applications and microservices
• Ability to create high quality code
• Experience with python testing tools (pytest) and test automation
• Familiarity with code versioning tools like GIT
• Strong sense of ownership and leadership quality
• Experienced in the tools of our web stack
• Python
• Celery
• Postgres
• Redis
• RabbitMQ

Nice to Haves:

• Prior experience at a growth stage Internet/Software company
• Experience with ReactJS, Google Cloud, Heroku
• Cloud deployment and scaling experience

About Us:

Fulfil.io helps high growth, high volume merchants simplify operations and scale for growth. With the rise in omni-channel commerce, Fulfil was founded with the simple idea that merchant operations need to be simplified in order to deliver amazing retail experiences. Fulfil enables businesses to turn their back office operations into an accelerator for growth by integrating order management, inventory management, warehouse management, vendor/supplier management, wholesale, manufacturing, financials and customer service, into one seamless solution. We believe merchants should love their operations platform, and we work hard to make that happen every single day. Fulfil.io is a trusted solution for brands like EndySleep, Mejuri, Lie-Nielson Toolworks, and many more.  

Fulfil.io is a venture backed technology company with offices in San Francisco, Toronto, and Bangalore. The team is made up of people who want to feel challenged at work, be the best at their craft and learn from one another. We come from different backgrounds and experiences, all passionate about the work we do, the team we do it with, and the customers we do it for. Join us in our journey to simplify operations and empower merchants around the world!  

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.

• Proficient in algorithms and data structures.
• Having strong experience in designing data intensive and scalable systems.
• Comfortable with microservices based architecture.
• Knowledge of software engineering processes and unit testing.
• Past experience of mentoring a team of at least two people.
• Prior experience with both relational and non-relational databases.
• Prior experience with caching.
• Ability to debug and hotfix a problem with production in a swift amount of time.
• Communication skills.