Lead Software Developer-Python

Designation – Nodejs Developer

Experience – Min 3+ Yrs

Location: Ahmedabad ( WFO)

We are seeking a highly skilled Senior Node.js Developer with expertise in SQL and MongoDB to join our dynamic team.

As a key member of our development team, you will be responsible for managing the interchange of data between the server and users, as well as developing server-side logic. Your primary focus will be on the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. Additionally, your experience with both SQL and NoSQL databases will be crucial in defining and maintaining our data storage solutions.

Responsibilities:

 Develop and maintain server-side applications using Node.js.

 Design and implement RESTful APIs for seamless integration with front-end applications.

 Collaborate with front-end developers to integrate user-facing elements with server-side logic.

 Optimize applications for maximum speed and scalability.

 Implement security and data protection measures.

 Design and maintain database schemas for both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.

 Manage and mentor junior developers, providing technical guidance and support.

 Stay updated with emerging technologies and industry best practices.

Requirements:

 Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.

 Minimum 4 years of experience in Node.js development.

 Proficiency in JavaScript/TypeScript and frameworks such as Express.js.

 Strong understanding of asynchronous programming and event-driven architecture.

 Experience with SQL databases (e.g., MySQL, PostgreSQL) and proficiency in writing complex SQL queries.

 Experience with NoSQL databases (e.g., MongoDB) and familiarity with their query languages.

 Familiarity with ORM libraries (e.g., Sequelize, Mongoose) for database interaction.

 Knowledge of version control systems (e.g., Git).

 Understanding of CI/CD pipelines and deployment processes.

 Excellent communication and teamwork skills.

 Ability to lead and mentor a team of developers.

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Django Python framework

PostgreSQL database

• Coordinating with development teams to find out the needs of the application.
• Using the Python programming language to create scalable code.
• Application testing and bug fixing.
• Creating the back-end elements.
• Utilising server-side logic to incorporate user-facing components.
• Integrating storage methods for data.
• Design and implementation of high-performance, low-latency applications.
• Working in concert with front-end programmers.
• Upgrading the functionality of current databases.
• Creating digital technologies to track online activity.

Senior Python Backend Developer 

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure Services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure.  We are looking for a Senior Python Developer to join our development team based out of Bangalore. This teamwork on building the next-generation SAS application on the Hybrid Cloud platform.  

It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.  

Key Qualificatisons

· Ability to write high-quality code efficiently.

· Design and develop new services/micro-services.

· Participate in planning and management of development process.

· Share architectural design vision with both technical and non-technical team members, including fellow engineers.

· Works on improvements in development toolset including testing frameworks, deployment scripts, and monitoring libraries.

· Experience solving complex problems and implementing solutions for performance and scalability.

· Write clean, well-structured, and maintainable code with automated test coverage and corresponding documentation.

· Explore new latest relevant technology, techniques, frameworks, tools, methodologies, and processes.

· Comfortable working with all aspects of software development; including dev-ops, quality assurance, research, and design.

Requirements

· Minimum 3 years of experience as a Python Developer in application development.

· Experience in Developing applications/software using Python, developing web services using Django/Flask, working with REST API, and working with any databases technology.

· Strong in Reg expression and string handling.

· Strong in python programming and should be able to develop both API, UI, and backend validations.

· Integration of user-facing elements developed by front-end developers with server-side logic and Implementation of security and data protection.

· Experience in Developing applications, software using Python, developing web services using Django, Flask, working with REST API, and working with any databases technology.

· Worked on open-source tools for logging, monitoring, search engine, caching, etc.

· Exposure to any of relation database technologies MySQL/Postgres/Oracle or any No-SQL database.

· Experience working on DevOps tools for continuous integration.

· Performed App servers, application deployments, web server deployments.

· Design and implementation of low-latency, high-availability, and performant applications.

· Working knowledge of AWS, enough to be able to set up the environment for application development.

· Good good analytical and execution skills.

· Worked on open-source software for development, logging, monitoring, search engine, caching, etc.

http://www.banyandata.com" target="_blank">www.banyandata.com 

• Building scalable web applications
• Integrating UI elements with server-side
• Handling Security and Data Protection
• Integrating front- end with SQL and NoSQL databases and ensuring its consistency
• Building reusable code and libraries
• Optimizing the code to improve its quality and efficiency

• 2+ yrs of Backend development experience
• You have excellent programming skills in python, ORM libraries and Django
• You have experience inbuilt tools like Git, Jenkins, Ansible, Rundeck
• You have experience in cross-browser/cross-platform front-end development with HTML/CSS/Javascript in Angular or similar frameworks
• You are an expert in SQL (Redshift, PostgreSQL, MySql, or similar) and NoSQL (MongoDB, ElasticSearch)
• You design, build and test RESTful web services.
• You have experience with Apache HTTP, NGINX, Tomcat or Jetty.

NewsBytes is India's only multi-lingual digital media company with the capability to produce content via an AI-based engine.
We are looking to hire a back-end developer who is proficient in PHP.

• Minimum of 2 years of experience
• Knowledge of PHP and Laravel Framework is a plus
• Basic understanding of CSS, JS, and HTML5
• The familiarity of Linux Environment is a plus
• Sound knowledge of design patterns and algorithms