Backend Engineer

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.

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.

As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design, data engineering tools, and a strong understanding of LLMs and their applications.

Job Summary:

We are seeking an experienced and highly motivated Senior Python Developer to join our dynamic and growing engineering team. This role is ideal for a seasoned Python expert who thrives in a fast-paced, collaborative environment and has deep experience building scalable applications, working with cloud platforms, and automating infrastructure.

Key Responsibilities:

Develop and maintain scalable backend services and APIs using Python, with a strong emphasis on clean architecture and maintainable code.

Design and implement RESTful APIs using frameworks such as Flask or FastAPI, and integrate with relational databases using ORM tools like SQLAlchemy.

Work with major cloud platforms (AWS, GCP, or Oracle Cloud Infrastructure) using Python SDKs to build and deploy cloud-native applications.

Automate system and infrastructure tasks using tools like Ansible, Chef, or other configuration management solutions.

Implement and support Infrastructure as Code (IaC) using Terraform or cloud-native templating tools to manage resources effectively.

Work across both Linux and Windows environments, ensuring compatibility and stability across platforms.

Required Qualifications:

5+ years of professional experience in Python development, with a strong portfolio of backend/API projects.

Strong expertise in Flask, SQLAlchemy, and other Python-based frameworks and libraries.

Proficient in asynchronous programming and event-driven architecture using tools such as asyncio, Celery, or similar.

Solid understanding and hands-on experience with cloud platforms – AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.

Experience using Python SDKs for cloud services to automate provisioning, deployment, or data workflows.

Practical knowledge of Linux and Windows environments, including system-level scripting and debugging.

Automation experience using tools such as Ansible, Chef, or equivalent configuration management systems.

Experience implementing and maintaining CI/CD pipelines with industry-standard tools.

Familiarity with Docker and container orchestration concepts (e.g., Kubernetes is a plus).

Hands-on experience with Terraform or equivalent infrastructure-as-code tools for managing cloud environments.

Excellent problem-solving skills, attention to detail, and a proactive mindset.

Strong communication skills and the ability to collaborate with diverse technical teams.

Preferred Qualifications (Nice to Have):

Experience with other Python frameworks (FastAPI, Django)

Knowledge of container orchestration tools like Kubernetes

Familiarity with monitoring tools like Prometheus, Grafana, or Datadog

Prior experience working in an Agile/Scrum environment

Contributions to open-source projects or technical blogs

We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as:
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.
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Required Skills:

• 4–8 years of hands-on experience in Python for backend or data engineering projects.
• Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
• Solid understanding of data pipeline architecture, data integration, and transformation techniques.
• Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
• Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

About the role

Checking quality is one of the most important tasks at Anakin. Our clients are pricing their products based on our data, and minor errors on our end can lead to our client's losses of millions of dollars. You would work with multiple tools and with people across various departments to ensure the accuracy of the data being crawled. You would setup manual and automated processes and make sure they run to ensure the highest possible data quality.

You are the engineer other engineers can count on. You embrace every problem with enthusiasm. You remove hurdles, are a self-starter, team player. You have the hunger to venture into unknown areas and make the system work.

Your Responsibilities would be to:

• Understand customer web scraping and data requirements; translate these into test approaches that include exploratory manual/visual testing and any additional automated tests deemed appropriate
• Take ownership of the end-to-end QA process in newly-started projects
• Draw conclusions about data quality by producing basic descriptive statistics, summaries, and visualisations
• Proactively suggest and take ownership of improvements to QA processes and methodologies by employing other technologies and tools, including but not limited to: browser add-ons, Excel add-ons, UI-based test automation tools etc.
• Ensure that project requirements are testable; work with project managers and/or clients to clarify ambiguities before QA begins
• Drive innovation and advanced validation and analytics techniques to ensure data quality for Anakin's customers
• Optimize data quality codebases and systems to monitor the Anakin family of app crawlers
• Configure and optimize the automated and manual testing and deployment systems used to check the quality of billions of data points of over 1000+ crawlers across the company
• Analyze data and bugs that require in-depth investigations
• Interface directly with external customers including managing relationships and steering requirements

Basic Qualifications:

• 2+ years of experience as a backend or a full-stack software engineer
• Web scraping experience with Python or Node.js
• 2+ years of experience with AWS services such as EC2, S3, Lambda, etc.
• Should have managed a team of software engineers
• Should be paranoid about data quality

Preferred Skills and Experience:

• Deep experience with network debugging across all OSI layers (Wireshark)
• Knowledge of networks or/and cybersecurity
• Broad understanding of the landscape of software engineering design patterns and principles
• Ability to work quickly and accurately in a highly stressful environment during removing bugs in run-time within minutes
• Excellent communicator, both written and verbal

Additional Requirements:

• Must be available to work extended hours and weekends when needed to meet critical deadlines
• Must have an aversion to politics and BS. Should let his/her work speak for him/her.
• Must be comfortable with uncertainty. In almost all the cases, your job will be to figure it out.
• Must not be bounded to comfort zone. Often, you will need to challenge yourself to go above and beyond.

Key Responsibilities:

1. Write clean, structured code and develop back-end components that are scalable and reusable which aligns with the existing architecture.
2. Own and manage team processes, releases, and systems and integrate user-facing elements developed by front-end developers with server-side logic
3. Design, build, test, and document code and databases
4. Coordinate with internal teams to understand user requirements and provide technical solutions
5. Make architecture decisions that contribute to maintainable systems
6. Architect and build the backend for the corresponding web service (Django)

Skills Required:

1. 2+ years of experience with Django, Experienced & expertise in Python framework - Django and Rest
2. Strong systems, architecture and database fundamentals, experience with scaling web technologies
3. Should have basic knowledge of Front End
4. Should have good database design knowledge
5. Should be able to write good quality code with good documentation
6. Experience in creating REST API's
7. Basic understanding of tech stacks - Postgres and Git
8. The ability to work independently is a must

Who We are

At e6data (https://e6x.io/">https://e6data.io) we’re building core algorithms that makes querying 25 - 200X more performant (i.e. faster and/or cheaper) than every other analytics platform in the world. This results in billions of dollars of value unlocked across faster analytics, savings on compute / infra, and new use cases becoming possible.

Our core team has 100+ years of combined experience and 10+ patents across diverse but complementary disciplines like real time databases, time series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second time founders with past exits.

We are passionate about solving the deepest and most important problems in computer science, and believe in making our technology available to customers regardless of their location, size, or budget. Our vision is for e6data to power every analytical workload in the world - regardless of deployment scenario (cloud, on-premise, edge), across every use case (end user queries, ETL / data pipelines), and every latency requirement (batch, streaming / real time).

What you'll do?

• Write awesome code
• The focus will be on performance of our data platform
• Identify tactical and long-term product improvements (could be code, script, etc.)
• Responsible for Planning and executing Metadata and Governance tool supports
• Build our internal Data Platform using exdata
• Adding scalable functionality to the system for new features like UDF's, sql functions etc

What are we looking for?

• Worked with Python for a minimum of 2 years
• Well versed with Django REST framework
• Knowledge of document based data stores like MongoDB
• Strong team player
• A passion for continuous learning and growth (both at a personal and team level)
• Experience (or enjoys) working in a startup will be an added advantage