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Strong Full stack/Backend engineer profile
Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
Mandatory (Company) : Product companies (B2B SaaS preferred)
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.
• Java 8/12• Frameworks - Spring MVC, REST, Spring Boot, Hibernate, (Optional – Play)• Oracle DB• Elastic Search (Optional but good to have)
• Junit, Mockito• Messaging – Should have knowledge of how RabbitMQ works
• Agile / TDD
• Good Experience in Core-Java concepts
• Experience of Continuous Integration / Continuous Delivery frameworks – Jenkins• Apache, Tomcat
• Good to have basic knowledge in AWS
• Good communication abilities & team-working skills

- Degree in Computer Science (BS/MS), related technical field or equivalent practical experience
- 8+ years of industry experience in product development
- Experience in coaching and mentoring team members
- Must own a specific component of the product. Gathering requirements by working with product management. Working closely with development managers in defining external product interfaces
- Must have excellent written and verbal communication skills. Must articulate various design approaches and design decisions clearly - within the team and across the teams.
- Must work with QA engineers to devise proper test constructs - unit testing and integration tests.
non-metro and rural markets. DealShare has raised series C funding of USD 21 million with key investors like WestBridge Capital, Falcon Edge Capital, Matrix Partners India, Omidyar Network, Z3 Partners and Partners of DST Global and has a total funding of USD 34 million.They have 2 million customers across Rajasthan, Gujarat, Maharashtra, Karnataka and Delhi NCR with monthly transactions of 1.2 million and annual GMV of $100 million. Our aim is to expand operations to 100 cities across India and reach annual GMV of USD 500 Million by end of 2021.
They started in Sept 2018 and had 5000 active customers in the first three months. Today
we have 25K transactions per day, 1 Lakh DAU and 10 Lakh MAU with a monthly GMV of INR 100 Crores and 50% growth MoM. We aim to hit 2 Lakh transactions per day with an annual GMV of 500 Million USD by 2021.
We are hiring for various teams in discovery (search, recommendation, merchandising,
intelligent notifications) , pricing (automated pricing, competition price awareness, balancing revenue with profits, etc), user growth and retention (bargains, gamification), monetisation (ads), order fulfillment (cart/checkout, warehousing, last mile, delivery promise, demand forecasting), customer support, data infrastructure (warehousing, analytics), ML infrastructure (data versioning, model repository, model training, model hosting, feature store, etc). We are looking for passionate problem solvers to join us and solve really challenging problems and scale DealShare systems
You will:
● Implement the solve with minimal guidance after solutioning closure with senior engineers.
● Write code that has good low level design and is easy to understand, maintain, extend
and test.
● End to end ownership of product/feature from development to production and fixing
issues
● Ensure high unit, functional and integration automated test coverage. Ensure releases
are stable.
● Communicate with various stakeholders (product, QA, senior engineers) as necessary to
ensure quality deliverables, smooth execution and launch.
● Participate in code reviews, improve development and testing processes.
● Participate in hiring great engineers
Required:
● Bachelor’s degree (4 years) or higher in Computer Science or equivalent and 1-3 years
of experience in software development
● Excellent at problem solving, is a self thinker.
● Good understanding of computer science fundamentals, data structures and algorithms
and object oriented design.
● Good coding skills in any object oriented language (C++, Java, Scala, etc), preferably in
Java.
● Prior experience in building one or more modules of large-scale, highly available, low
latency, high quality distributed system is preferred.
● Extremely good at problem solving, is a self thinker.
● Ability to multitask and thrive in a fast paced timeline-driven environment.
● Good team player and ability to collaborate with others
● Self driven and motivated, very high on ownership
Is a plus
● Prior experience of working in Java
● Prior experience of using AWS offerings - EC2, S3, DynamoDB, Lambda, API Gateway,
Cloudfront, etc
● Prior experience of working on big data technologies - Spark, Hadoop, etc
● Prior experience on asynchronous processing (queuing systems), workflow systems.
Job Summary
- 5 to 8 years of experience with Python, and well versed with RDBMS (SQL Server preferred).
- Should have good experience in Data Structures, Algorithms, NumPy, and Pandas.
- Familiar with JSON and REST APIs
- Strong knowledge of object-oriented and parallel programming techniques
- Experience with test-driven development (TDD)
- Excellent analytical and problem-solving skills
- Good interpersonal skills
- Good team player
Skills:
Python Developer
Python
API
RDBMS
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Expert knowledge of computer science, with strong competencies in data structures, algorithms,
and software design.
-
Strong understanding of end-to-end architectures and development frameworks; knowledge
across tiers in a multi-tier cloud environment including load balancers, web servers, application
containers, data stores, and distributed caches.
-
Minimum 6 years of experience with deep technical knowledge and hands on skills in Java.
-
Has worked extensively on caching technologies such as Redis, memcache.
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Should be strong with Data Strcutures, Algorithms & OOPs concepts.
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Worked on NoSQL databases such as MongoDb.
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Designed and developed highly scalable multi-threaded large scale distributed systems.
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Well versed with services and micro-services architecture.
-
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Usage of containers, virtual machine systems, cloud computing.
-
CommerceIQ is a well funded fast growing enterprise SaaS platform that is helping brands grow and sell more on e-commerce channels through its machine learning technology. Are you excited about building distributed crawling engine at global scale that will crawl and parse 1000’s of websites with 10+ million crawls on a daily basis? Would you enjoy building something as ambitious as “Google/Facebook Ad platform” for Amazon (and other e-commerce retailers)? Does building a CI/CD and containerisation framework that will allow our products to be released and deployed every week across dozens of geographies and data centers seamlessly excite you? Do you find building machine learning models that will optimize billions of dollars in ad and promotions spend exhilarating? Do you find it super exciting to build a plug and play product UI platform where leaders of brands will spend hours daily (almost as much as an email inbox) to optimize their business? We can keep writing, but you will get the idea.
In our journey of building and scaling CommerceIQ, Engineers and data scientists in our team tackle these and many more problems daily. If you are as excited as we are after reading this, we would love to talk to you! 30+ global brands including Kellogg, Unilever, Johnson & Johnson, MARS, Nestle, Logitech and many more trust our product to manage their growth on Amazon. If you are excited about building product that will write the script for how brands sell and grow on e-commerce channels please reach out to us.
Are you ready to power intelligent commerce? @CommerceIQ, you will :
• You will be responsible for developing, testing and releasing features within time and with high quality that will drive revenue and margin impact to top brands.
• You will be designing your own features keeping in mind the scale and high availability of the systems. • You will be working with the team and expected to perform code reviews, conduct design discussions and mentor other developers.
•You will be the owner of your feature and work directly with product teams to drive customer impact.
• You will be expected to participate in all phases of the software development cycle as part of a Scrum team.
Experience : 3+ Years in developing in designing and developing complex and scalable software modules..
Skillset : • The ideal candidate will be an experienced Java developer with exceptional software system design, problem solving, and object-oriented coding skills
• Experience with distributed transaction-processing systems or asynchronous messaging technology is required.
• Good understanding of system performance trade-offs, load balancing, and engineering for high availability.
• Obsessed about building quality software and owning end to end responsibility for the developed features.
• Understanding of enterprise information systems, service oriented architectures, and operational data stores is a plus
• BS or MS in Computer Science/Engineering, Mathematics, Statistics or similar degree from a top tier institution







