Senior Backend Developer (PYTHON)

We are seeking an experienced Python Lead to design, develop, and scale high-performance backend systems. The ideal candidate will have strong expertise in Python-based backend development, system design, and cloud-native architectures. You will lead the development of scalable APIs, work with modern cloud platforms, and collaborate with cross-functional teams to deliver reliable and efficient applications.

Key Responsibilities

• Design and develop scalable backend services using Python (Django/Flask).
• Build and maintain RESTful APIs and WebSocket-based applications.
• Implement efficient algorithms, data structures, and design patterns for high-performance systems.
• Develop and optimize database schemas and queries using PostgreSQL, MySQL, or MongoDB.
• Integrate caching and queuing systems to improve system performance and reliability.
• Deploy and manage applications on AWS or GCP cloud environments.
• Implement and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
• Work with Docker containers and Linux-based environments for development and deployment.
• Collaborate with engineering teams to design scalable system architectures.
• Explore and integrate AI-driven capabilities such as RAG, LLMs, and vector databases where applicable.

Required Skills

• Strong expertise in Python backend development using Django or Flask
• Experience with REST APIs, WebSockets, and microservices architecture
• Solid knowledge of design patterns, algorithms, and data structures
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB)
• Hands-on experience with AWS or GCP cloud services
• Experience with CI/CD pipelines and containerization (Docker)
• Proficiency in Git and Linux environments

Preferred Skills

• Familiarity with AI/ML concepts
• Experience with RAG architectures and LLM integrations
• Knowledge of vector databases such as Pinecone or ChromaDB

What We’re Looking For

• Strong problem-solving and system design skills
• Ability to lead backend development initiatives
• Experience building scalable and production-grade systems
• Excellent collaboration and communication skills

We are seeking a highly motivated and skilled AI Engineer. You will have strong fundamentals in applied machine learning. You will have a passion for building and deploying production-grade AI solutions for enterprise clients. You will be a key technical expert and the face of our company. You will directly interface with customers to design, build, and deliver cutting-edge AI applications. This is a customer-facing role. It requires a balance of deep technical expertise and excellent communication skills.

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Roles & Responsibilities

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Design & Deliver AI Solutions

• Interact directly with customers.
• Understand their business requirements.
• Translate them into robust, production-ready AI solutions.
• Manage AI projects with the customer's vision in mind.
• Build long-term, trusted relationships with clients.

Build & Integrate Agents

• Architect, build, and integrate intelligent agent systems.
• Automate IT functions and solve specific client problems.
• Use expertise in frameworks like LangChain or LangGraph to build multi-step tasks.
• Integrate these custom agents directly into the RapidCanvas platform.

Implement LLM & RAG Pipelines

• Develop grounding pipelines with retrieval-augmented generation (RAG).
• Contextualize LLM behavior with client-specific knowledge.
• Build and integrate agents with infrastructure signals like logs and APIs.

Collaborate & Enable

• Work with customer data science teams.
• Collaborate with other internal Solutions Architects, Engineering, and Product teams.
• Ensure seamless integration of AI solutions.
• Serve as an expert on the RapidCanvas platform.
• Enable and support customers in building their own applications.
• Act as a Product Champion, providing crucial feedback to the product team to drive innovation.

Data & Model Management

• Oversee the entire AI project lifecycle.
• Start from data preprocessing and model development.
• Finish with deployment, monitoring, and optimization.

Champion Best Practices

• Write clean, maintainable Python code.
• Champion engineering best practices.
• Ensure high performance, accuracy, and scalability.

Key Skills Required

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Experience

• Minimum 5+ years of hands-on experience in AI/ML engineering or backend systems.
• Recent exposure to LLMs or intelligent agents is a must.

Technical Expertise

• Proficiency in Python.
• Proven track record of building scalable backend services or APIs.
• Expertise in machine learning, deep learning, and Generative AI concepts.
• Hands-on experience with LLM platforms (e.g., GPT, Gemini).
• Deep understanding of and hands-on experience with agentic frameworks like LangChain, LangGraph, or CrewAI.
• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).

Customer & Communication Skills

• Proven ability to partner with enterprise stakeholders.
• Excellent presentation skills.
• Comfortable working independently.
• Manage multiple projects simultaneously.

Preferred Skills

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of MLOps practices.
• Experience in the AI services industry or startup environments.

Why Join us

• High-impact opportunity: Play a pivotal role in building a new business vertical within a rapidly growing AI company.
• Strong leadership & funding: Backed by top-tier investors, our leadership team has deep experience scaling AI-driven businesses.
• Recognized as a top 5 Data Science and Machine Learning platform by independent research firm G2 for customer satisfaction.

*Performs analysis of functional and business requirements

*Applies in-depth or broad technical knowledge to maintain data engineering functions performs solution design.

*Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.

*Introduce new product features and enhance the platform

*Ability to translate business reporting requirements into a production report.

Hands on experience in Python in 2.x and 3.x versions

• Developed and deployed services in AWS serverless Architecture
• Developed REST API’s using serverless framework, AWS Lambda, API Gateway
• Developed queue and notification services using AWS components - SQS, SNS
• Implemented authorization and authentication using AWS Cognito pool
• Developed Facial recognition systems using AWS Rekognition
• Hands on experience in Flask, Tornado, Quartz framework
• Hands on experience in designing and working on MicroService & Monolithic architecture
• Basic understanding of front-end technologies HTML, CSS, JavaScript, jQuery

Mongo dB experience is must

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics