
Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP

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We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.
Key Responsibilities :
- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.
- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.
- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.
- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.
- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.
- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.
- Implement inter-service communication using gRPC and REST.
- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.
Required Skills & Qualifications :
- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.
- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.
- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).
- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.
- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.
- Proven experience with system architecture, distributed systems, and microservices.
- Strong familiarity with Any Cloud infrastructure and deployment practices.
- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.
Online group buying platform that helps people connect with likeminded people who want to buy the same item/product at a discounted price.
Job Duties and Responsibilities
- Overlook development of all consumer products in JAVA and
- Optimize components for maximum performance across a vast array of web-capable devices and
- Focus on code maintainability and performance of
- Provide technical advice and assists in solving programming
- Continuously create new and interactive features that would help to improve user experience and user engagement.
- Assist with troubleshooting of issues as
- Lead the design and architecture of software
- Assist in developing and maintaining continuous integration.
Skills Required:
- Skills required: JAVA, Python (Flask and Django), Spring/Spring Boot, React, Hibernate,
- 2+ years of experience in Java and Python
- Linux, REST, Kafka, Mysql,, AWS, ELK Stack (Elasticsearch), CI/CD
- Good experience in Java and/or Python based
- Experience in designing databases and system
- Experience in building products from scratch at well-funded start-ups
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee,BLE ,LoRa, Modbus)
- Must be a good team player.
- Strong Communication Skills
- Writing efficient, reusable, testable, and scalable code
- Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
- Integration of user-oriented elements into different applications, data storage solutions
- Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
- Designing and implementing – High availability and low latency applications, data protection and security features
- Performance tuning and automation of application
- Working with Python libraries like Pandas, NumPy, etc.
- Creating predictive models for AI and ML-based features
- Keeping abreast with the latest technology and trends
- Fine-tune and develop AI/ML-based algorithms based on results
Technical Skills-
Good proficiency in,
- Python frameworks like Django, etc.
- Web frameworks and RESTful APIs
- Core Python fundamentals and programming
- Code packaging, release, and deployment
- Database knowledge
- Circles, conditional and control statements
- Object-relational mapping
- Code versioning tools like Git, Bitbucket
Fundamental understanding of,
- Front-end technologies like JS, CSS3 and HTML5
- AI, ML, Deep Learning, Version Control, Neural networking
- Data visualization, statistics, data analytics
- Design principles that are executable for a scalable app
- Creating predictive models
- Libraries like Tensorflow, Scikit-learn, etc
- Multi-process architecture
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Participate in brainstorming and technical ideation for projects with product, growth, and engineering
- You will design Scalable and Fault-Tolerant systems
- You will help Maintain critical and auxiliary systems (databases, cache ...)
- You will build Experiments that help validate hypotheses for the product
Experience:
2+yrs In your first 3 months, you will…
- Successfully onboard and create strong bonds with the current team
- Participate in brainstorming and technical ideation for projects with product, growth, and engineering
- Contribute to existing product features and experimentation
In your first 6 months, you will…
- Develop prototypes of new features or products using rapid iteration and experimentation as we explore new ideas
- Partner across the engineering team to ship features
In your first year, you will...
- Champion best-in-class engineering practices and systems for an emerging engineer team
- Help build a suite of features for the product
Our Ideal Hire:
- Learned best practices and has experienced the challenges and joys working at a startup
- Managed and maintained production code at increasing scales
- Feels strongly motivated by our mission
- Communicates complex problems and proposes solutions, in writing and in conversation
Expertise:
- Proficiency in any one language (ex: NodeJS / Go / Python)
- MySQL (design / indices / optimizing queries)
- Redis (types/ functionality/ use cases)
Hands-on experience:
- Handled scaling issue
- Good at debugging
Good to have:
- Kafka (or other stream-processing software)
- AWS
Do not apply if you are not:
- Ownership driven
- Curious in general
- Able to explain things in simple terms
- Self-motivated
- Use to work in the chaotic environment
- Highly proactive
- Willing to Mentor and humble to ask for collaboration
- Most important, Learn & Grow yourself!
- Hungry to grow anymore
As an experienced engineer we know that you have built software to solve various business problems at your previous workplaces. You may have also explored technologies on your own for your learning or hobby projects.
- You will be building APIs for the Synup platform and also UI to make our platform capabilities available to our customers.
- You and the team that you are a part of will be collectively responsible building performant software and customer experiences that scale to our next million customers.
- You will be responsible for writing technical specs and contributing to it's implementation. We expect that you would have done the same in your previous workplaces.
- Other folks on our team are looking forward to learn from your experiences.
For engineers that join our team
- We expect you to be good with Ruby or Python to build APIs.
- You will be contributing to our UI that is built with React and GraphQL.
- We hope our team members have a strong grasp of software design patterns and know when to put them to good use.
- Experience with an SQL datastore would help a lot. PostgreSQL is our primary datastore.
- We optimize our search functionality and rollup reports by using ElasticSearch
- We expect that you have used Redis. Redis is our swiss army knife to solve a lot of problems apart from just caching.







