
What You'll do
- 3-5 years of experience building scalable backends using Python
- In-depth knowledge of Python/Django or Flask
- Familiar with oauth integration Social Networking API (Facebook, Twitter, Linked In, Google+)
- Experience integrating with mobile Apps
- Django/Flask permissions model, caching, async mechanisms
- Understanding of caching, database interactions
- Able to engineer the best performing solutions and always keeping scalability in mind
What makes you a great fit:
- Strong problem solving skills
- Knowledge of data structures and algorithms
- Hungry for more responsibility and knowledge
- Passion for building robust systems that are engineered to handle failure scenarios, an undying love and attitude for maintaining coding standards
- Strong advocate for producing quality software who makes sure issues are raised and resolved
- Experience with at least one of the cloud platforms like AWS, GCP, Azure, Digital Ocean etc. (docker, Kubernetes, microservice good to have)
Must have skill-sets
- Python/ Django or Flask
- Experience required: 3 -5 years
Perks of Joining Aubergine Solutions
- 5 days working
- Flexi shift timings
- Company sponsored certifications
- Team friendly culture
- Flat hierarchy
- Carrom, Table tennis games, Cricket Tournament Participation for interested employees
- Snack-filled pantry for team members
- Group Medical Insurance (*)

About Aubergine Solutions Pvt. Ltd.
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Job Description – AI Tech Lead
Location: Bangaluru
Experience: 10+ Years
Function: AI Center of Excellence (CoE)
Reporting To: Senior Vice President – CX / Head of AI CoE
We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.
2. Key Responsibilities
A. Solution Architecture & Strategy
- Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
- Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
- Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
- Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.
B. Project Delivery & Execution Leadership
- Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
- Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
- Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
- Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.
C. Technical Hands-on Expertise
- Architect and build complex AI systems involving:
- Large Language Models (LLMs) & GenAI apps
- Agentic workflows and autonomous task orchestration
- Predictive modeling, forecasting, optimization, and statistical modeling
- Knowledge graphs, vector databases, embeddings
- Data engineering pipelines (ETL/ELT) and cloud-native architectures
- Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.
D. Team Leadership & Mentoring
- Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
- Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
- Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.
E. Stakeholder & Client Management
- Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
- Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
- Support pre-sales with solutioning, effort estimation, and technical presentations.
3. A. Technical Skills
- Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
- Hands-on experience building applications using:
- LLMs, RAG, fine‑tuning, prompt engineering
- Autonomous AI agents & multi-agent systems
- Predictive ML models (Regression, Classification, Clustering, NLP, CV)
- Expertise in microservices architecture, API design, scalable deployments.
- Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
- Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
B. Functional & Domain Skills
- Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
- Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.
C. Leadership & Soft Skills
- Strong team leadership and mentoring experience.
- Excellent communication, client-facing abilities, and stakeholder management skills.
- Strong decision-making, problem-solving, and delivery ownership.
4. Qualifications
- Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
- 10–15 years total experience with at least 5+ years leading AI/ML projects.
- Demonstrated success delivering large-scale AI programs in enterprise environments.
- Certifications in AI/ML, cloud, or architecture (preferred).
About the Role
We are looking for an experienced Senior Backend Developer to design and build scalable, secure, and high-performance backend systems. The ideal candidate will have deep expertise in Python/Django, microservices architecture, and cloud technologies, along with strong problem-solving skills and leadership capabilities.
Key Responsibilities
•Design and develop backend services using Django and Python.
•Architect and implement microservices-based solutions for scalability and maintainability.
•Work with PostgreSQL and Redis for efficient data storage and caching.
•Build and maintain RESTful APIs and ensure robust API design principles.
•Implement system design best practices for high availability and fault tolerance.
•Containerize applications using Docker and manage deployments with Kubernetes.
•Integrate with cloud platforms (AWS/Azure) for hosting and infrastructure management.
•Apply security best practices to protect data and application integrity.
•Collaborate with frontend, QA, and DevOps teams for seamless delivery.
•Mentor junior developers and conduct code reviews to maintain quality standards.
Required Skills & Expertise
•Django/Python – Advanced proficiency in backend development.
•Microservices Architecture – Strong understanding of distributed systems.
•PostgreSQL & Redis – Expertise in relational and in-memory databases.
•Docker/Kubernetes – Hands-on experience with containerization and orchestration.
•API Design & System Design – Ability to design scalable and secure systems.
•Cloud (AWS/Azure) – Practical experience with cloud services and deployments.
•Security Best Practices – Knowledge of authentication, authorization, and data protection.
Preferred Qualifications
•Experience with CI/CD pipelines and DevOps practices.
•Familiarity with message queues (e.g., RabbitMQ, Kafka).
•Exposure to monitoring tools (Prometheus, Grafana).
What We Offer
•Competitive salary and benefits.
•Opportunity to work on cutting-edge backend technologies.
•Collaborative and growth-oriented work environment.
Title: Python Developer
Job Type: Full-time
Responsibilities:
- Developing and maintaining Python-based applications.
- Writing clean, maintainable, and efficient code.
- Integrating user-facing elements developed by front-end developers with server-side logic.
- Identifying and fixing bottlenecks and bugs.
- Participating in code reviews.
- Collaborating with cross-functional teams to design, develop and implement new features.
Requirements:
- Bachelor's or Master's degree in Computer Science or a related field.
- Strong proficiency in Python and its frameworks such as Django or Flask.
- Understanding of fundamental design principles behind a scalable application.
- Familiarity with code versioning tools such as Git.
- Knowledge of databases such as MySQL, PostgreSQL or MongoDB.
- Good problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Company Description
Hubler is a NoCode platform located in Bangalore Urban that helps businesses digitally transform and manage every aspect of their business onto a single platform. Our clutter-free app-building platform offers ready-to-deploy apps and app canvas to digitize any business process into mobile and web apps overnight, as well as actionable insights in real-time.
Role Description
This is a full-time on-site role for a Senior Software Engineer (Python) at Hubler. The Senior Software Engineer will be responsible for designing, developing, and maintaining high-quality software applications while working within a team of developers and collaborating with cross-functional teams to identify and develop software solutions that meet client needs.
Qualifications
- 5+ years of experience in developing, and maintaining high-quality software applications using Python
- Must enjoy Coding with Passion
- Strong knowledge of software engineering principles, algorithms, data structures and design patterns
- Experience working with Django, Flask, Python-based web frameworks and Restful APIs
- Experience in database design and management with MongoDB
- Experience in distributed source control, such as Git
- Experience with scrum development methodology
- Bachelor's or Master's degree in Computer Science, or a related field
- Good communication skills, both written and verbal, to facilitate clear communication with team members and stakeholders
- The ability to work in a collaborative team environment with willingness to share skills and knowledge
⦁ 2+ years of working experience as a software engineer.
⦁ Engineer capable of designing solutions, writing code, and deployment
⦁ Demonstrated skills, knowledge, and expertise with statistical computer languages (Python, Django) and the related ecosystem (PyCharm, Jupyter)
⦁ Good knowledge of Python.
⦁ Creative problem-solving ability and sound judgment ability to use own initiative and take responsibility for decisions.
Candidate must have
⦁ Good knowledge of Python
⦁ Django, Flask, FastApi
⦁ Candidates must have knowledge about Product Development.
⦁ Candidates must have Technical Degree.
Skills
⦁ Developing back-end components.
⦁ Design and develop web applications in Python, and Django.
⦁ Good knowledge of Django, Flask, FastApi
⦁ Must be proficient in writing python codes
⦁ Must have worked on back-end development
⦁ Integrate Python application with other internal applications.
⦁ Strong spoken and written communication skills in English
Job Description
- Design & implement backend APIs
- Mentor junior developers technically.
- Actively work to reduce tech debt in the backend
- Work towards more stability & scalability of the backend
- Tech stack - Java, AWS, Aurora etc.
Eligibility
- 4-8 years of product company experience
- OOP implementation experience. Programming language does not matter. We use Java internally but have hired folks from non Java background.
- Hands on experience in SQL, Dynamo DB, Postgres etc preferred.
- Prior experience building REST APIs
- Advanced understanding of AWS stack
- Prior knowledge of solving problems at scale.
Responsibilities:
- Develop the core platform components.
- Work on integrations with 3rd party systems.
- Co-ordinate with frontend team, designers, and product managers on development requirements
Requirements:
- At least 3 years of experience in developing and managing software systems.
- Proficiency in programming, data structures and algorithms.
- Deep understanding of caching technologies, databases and OOPS.
- Computer science degree from a tier1 college is a MUST.
- Experience in Python is preferred.
Job Description-
Backend Developer- Senior
Experience - 3-6 years
Location: Pune/Kota
Minimum Qualifications:
- BE/B.Tech or ME/M.Tech in Computer Science.
- Must have “Can Do Attitude” towards work
- Must have work exp of 3-6 years
- Must have programming exp of 1-2 years in any of Python/Golang/Java languages
- Must have worked in product based company
- Ready to work in a startup and adaptable to a dynamic environment
- Ready to accept ad-hoc requirements and track them till they get implemented
- Ready to learn new technologies like Andriod, Angular, etc.
- Good at HTTP basics, OOPs concepts, data structures, algorithms, networking and
security aspects
- Ability to write clean code and maintain it
- Good at SQL/No-SQL databases
Preferred Qualifications:
- Experience in any good product based startup
- Experience in working with the team and managing a small team of 2-5 associates
- Experience in being a mentor for co-developers
- Experience in design/developing scalable systems.
- Experience in public cloud platforms services/APIs of AWS, Google Cloud, etc.
- Experience in data engineering
- Experience in SOA/Microservice architecture development
Responsibilities:
- Design and develop scalable services and APIs in Python/Golang
- Always maintain the services secure
- Should optimize APIs for mobile data and apps
- Use off-the-shelf and state-of-the-art services for faster development of product
- Guide team members with designs
- Take the end to end ownership of features and resolve customer issues on priority
- Mentor/guide/monitor junior developer
- Expertise Android/Angular to the required extent and guide app developers while
designing APIs
Opportunities in the role:
- LearnAngular, Python, Node.js, Golang, ELK stack, MEAN/MERN
- Work on AWS, Azure, Google Cloud Platform
- Work on databases like RDS, MongoDB, Big Table & DynamoDB, Redis, Aerospike
- Experience with SQL/ NoSQL Databases (RDS, DynamoDB, Google Datastore, Redis)
- Experience with ELK stack.
- Fast prototyping of proof-of concept features/application based on a brief
- Work on data engineering









