19 Pydantic Jobs

As a Senior AI Developer/ AI Architect in the AI team, you will have the opportunity to collaborate with and mentor a team of developers. Your primary focus will be on the Fusion AI Team and its AI engine AI Talos, where you will work with Large language models, simulations, and Agentic AI to deliver cutting-edge AI capabilities in the service management space. Your responsibilities will include developing intricate python-based AI code to ensure the successful delivery of advanced AI functionalities. Additionally, you will play a crucial role in team mentoring, guiding junior/mid-level developers in managing their workload efficiently and ensuring tasks are completed according to the product roadmap. Innovation will be a key aspect of your role, where you will lead the team in staying updated on the latest AI trends, especially focusing on large language models and simulations. Furthermore, you will be responsible for software delivery to customers while adhering to standard security practices. To qualify for this role, you should possess a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Being Agile trained and practiced is also essential for this position. The ideal candidate will have at least 7 years of experience in developing AI/Data Science solutions, with a senior level of involvement. Proficiency in Python and its libraries such as Pydantic, Pytorch, Pyarrow, Scikit, Hugging Face, and Pandas is required. Extensive knowledge of AI models and usage, including Llama2, Mistral AI, training models for classification, and RAG architecture, is necessary. Experience as a full-stack developer and familiarity with tools like GitHub, Jira, Docker, as well as GPU-based services architecture and setup, are advantageous. In terms of competencies, strong interpersonal and communication skills are essential. You will collaborate with teams across the business to create end-to-end high-value use cases and effectively communicate with senior management regarding requirement deadlines. Your excellent collaboration and leadership skills will ensure that the team remains motivated and is working efficiently towards set targets. If you are ready to take on this challenging role and contribute to the advancement of AI technologies, we encourage you to apply now at Future@fusiongbs.com.,

Job Title: AI Engineer Location: Chennai Experience: 3 to 5 years Employment Type: Full-Time Job Summary: We are seeking an AI Engineer with strong proficiency in Python and hands-on experience in building AI-powered applications. The ideal candidate should have experience working with FastAPI, Langchain, and Pydantic, along with a solid understanding of Generative AI concepts, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop, integrate, and optimize AI-powered applications using FastAPI and Langchain. Design and deploy APIs using FastAPI with Pydantic for data validation. Implement and fine-tune solutions leveraging Large Language Models (LLMs). Build and optimize Prompt Engineering pipelines for LLM interactions. Design and implement Retrieval-Augmented Generation (RAG) solutions for enhanced contextual responses. Collaborate with data scientists, product managers, and engineers to deliver high-quality AI applications. Continuously research and experiment with advancements in Generative AI technologies. Key Skills & Technologies: Programming: Python (Intermediate to Advanced) Frameworks & Libraries: FastAPI (API development) Langchain (LLM integrations & workflows) Pydantic (Data validation and settings management) AI/ML Concepts: Generative AI (Basics) Large Language Models (LLM) Understanding architecture, capabilities, and limitations Prompt Engineering Techniques for effective LLM interactions Retrieval-Augmented Generation (RAG) – Building hybrid retrieval-generation systems Version Control: Git, GitHub/GitLab CI/CD: Familiarity with deployment pipelines (optional) Preferred/Optional (Good to Have): Experience with AI Agent Frameworks such as: LangGraph CrewAI Knowledge of Vector Databases (e.g., FAISS, Chroma) Cloud Platforms (AWS, Azure, GCP) Containerization (Docker)

As a Full Stack Developer with a focus on Python-based backend development, you will be responsible for designing, building, and maintaining scalable backend services using Python and FastAPI. You will also be involved in developing clean, modular, and maintainable frontend applications using React and React Native Web. Additionally, you will implement RESTful and GraphQL APIs with authentication layers such as OAuth2 and JWT. Collaboration with cross-functional teams to define, design, and ship new features will be a key aspect of your role. Participating in code reviews, architecture discussions, and performance tuning will help ensure the quality of the applications. You will be expected to prioritize security, scalability, and reliability while also writing and maintaining technical documentation. The ideal candidate will have at least 3 years of strong proficiency in Python and experience with FastAPI, REST API development, OAuth2 & JWT authentication, Alembic, Pydantic, and GraphQL on the backend stack. On the frontend stack, proficiency in React, React Native Web, Redux & RTK Query, TypeScript, Tailwind CSS, WebSockets, Expo, React Navigation, and Vite will be required. Preferred attributes for this role include strong problem-solving skills, attention to detail, experience in hybrid or mobile-first application design, prior work in agile development environments, and the ability to communicate clearly with both technical and non-technical stakeholders. This is a hybrid work model position, requiring 3 days onsite in Bangalore and 2 days remote work. The contract duration is 6 months with the possibility of conversion to a full-time role. The interview process will be conducted via video with multiple rounds. If you are enthusiastic about working on meaningful products using modern frameworks and tools, and are interested in transitioning to a full-time role after proving your capabilities, we invite you to apply for this exciting opportunity.,

As an experienced Backend Developer, you will be responsible for designing, developing, and maintaining robust, scalable, and performant backend services using FastAPI, SQLAlchemy, and PostgreSQL. Your role will involve collaborating with cross-functional teams to implement business logic, API endpoints, and database solutions while adhering to comprehensive development standards. Your responsibilities will include: - Designing and developing RESTful APIs using FastAPI following established API standards and best practices - Implementing robust data models and database interactions using SQLAlchemy and PostgreSQL - Developing and maintaining core business logic in service and repository layers - Writing comprehensive unit, integration, and end-to-end tests for all code - Creating clear, detailed documentation for code, APIs, and architectural decisions - Collaborating with frontend developers to define API contracts and integration points - Implementing and maintaining high availability patterns and performance optimizations - Participating in code reviews and providing constructive feedback to peers - Troubleshooting and resolving complex technical issues across the application stack - Contributing to architectural decisions and helping evolve technology standards Required Skills and Experience: - 7+ years of professional experience in backend development - Strong proficiency in Python (3.9+) with a solid understanding of type hints, async/await, and modern Python features - Experience with FastAPI or similar modern Python web frameworks (Django, Flask) - Proficiency with relational databases, particularly PostgreSQL - Working knowledge of SQLAlchemy or similar ORMs - Experience implementing RESTful APIs and understanding API design principles - Strong understanding of software testing approaches (unit, integration, end-to-end) - Familiarity with containerization (Docker) and container orchestration - Experience with Git version control and CI/CD pipelines - Knowledge of secure coding practices and common security vulnerabilities Preferred Qualifications: - Experience with Pydantic for data validation and schema definition - Familiarity with PostgreSQL advanced features (JSONB, full-text search, etc.) - Experience with asynchronous programming in Python - Understanding of infrastructure as code (Terraform, AWS CloudFormation) - Experience with Kubernetes in production environments - Understanding of event-driven architectures and message brokers - Exposure to microservices architecture patterns - Experience with monitoring and observability tools - Contributions to open-source projects Technical Competencies: - Core Python skills - Python 3.9+ features and language constructs - Type hints and static type checking with mypy - Error handling and exception management - Asynchronous programming with asyncio - Documentation using Google-style docstrings - Web Frameworks and APIs - FastAPI application development and organization - API design and RESTful principles - Request validation and response formatting - Authentication and authorization implementation - Performance optimization techniques - Database - PostgreSQL schema design and optimization - SQLAlchemy ORM and Core - Query optimization and performance tuning - Transaction management - Database migrations with Alembic - Testing - Test-driven development practices - Unit testing with pytest - Integration testing for APIs and databases - Mocking and fixtures - Code coverage analysis - DevOps and Infrastructure - Docker containerization - CI/CD pipeline configuration - Infrastructure as code concepts - Monitoring and logging implementation - High availability patterns - Development Standards Expertise - Domain-driven design principles - API-first development approach - Test-driven development - Security by design - Continuous delivery practices - Comprehensive documentation - Code quality and maintainability - Performance optimization - Error handling best practices,

You are an experienced Full Stack Developer with expertise in the MongoDB, Postgres, Express.js, React (NextJS), Node.js, Python, Fast API stack, and MERN stack technologies. Your role involves designing, developing, testing, and deploying web applications using these technologies. You should have a strong understanding of front-end and back-end development using the MERN stack, along with proficiency in JavaScript and related libraries/frameworks. Collaboration with cross-functional teams, including product managers, designers, and other developers, is essential to deliver high-quality software solutions that meet business requirements. Your responsibilities include: - Designing, developing, testing, and deploying web applications using MongoDB, MSSQL, Express.js, ReactJS, Node.js with Next JS, Python, FAST API with SQLAlchemy, Pydantic, Uvicorn, and comprehensive knowledge of the MERN stack. - Collaborating with cross-functional teams to understand business requirements and develop software solutions accordingly. - Developing and maintaining server-side applications and APIs using Node.js and Express.js, integrating with MongoDB or other databases. - Developing and maintaining client-side applications using React and related libraries or frameworks. - Designing and implementing database schemas and models, optimizing database performance for web applications. - Writing clean, maintainable, and efficient code, conducting thorough code reviews to ensure code quality. - Troubleshooting and resolving software defects and issues, optimizing performance of web applications. - Staying up-to-date with emerging trends and technologies in web development, recommending best practices to improve software development processes. - Collaborating with stakeholders to gather and refine requirements, providing technical expertise to assist in decision-making processes. - Participating in agile development processes, including sprint planning, backlog grooming, and daily stand-ups. Qualifications: - Bachelor's degree in Computer Science, Software Engineering, or a related field. - Proven experience (5+ years) as a Full Stack Developer with expertise in the MERN stack. - Strong proficiency in front-end technologies such as HTML5, CSS3, JavaScript, React, and related libraries or frameworks. - Strong proficiency in back-end technologies such as Node.js and Express.js, experience with MSSQL, Postgres, MongoDB, or other NoSQL databases. - Experience with RESTful APIs, authentication and authorization mechanisms, API integration. - Familiarity with version control systems such as Git, experience with agile development methodologies. - Strong problem-solving skills, ability to work independently or in a team environment. - Excellent communication skills, both written and verbal. - Ability to adapt to changing requirements and priorities in a fast-paced environment. Preferred Qualifications: - Experience with other JavaScript libraries or frameworks, such as Redux, GraphQL, or Next.js. - Experience with Strapi CMS. - Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. - Experience with containerization technologies such as Docker and Kubernetes. - Familiarity with DevOps practices and tools for continuous integration and deployment. - Knowledge of UI/UX design principles, ability to create visually appealing and user-friendly web applications. - Familiarity with security best practices, experience in implementing secure coding techniques.,

Required Skills & Experience At least 5 years of continuous, professional experience as a Python3 Software Engineer, developing, deploying, and maintaining production-grade applications. Minimum 3 years of hands-on experience with at least 4 of the following Python frameworks, libraries, and tools: FastAPI, Pydantic, SQLAlchemy, Pandas, and messaging queues (e.g., Celery, Kafka, RabbitMQ). Minimum 3 years of experience working in a Linux/Unix environment with expertise in system navigation, scripting, and troubleshooting. Deep understanding of best practices for building scalable, high-performance, and secure software solutions. Strong analytical, problem-solving, and debugging skills with a proven ability to diagnose and resolve complex issues efficiently. Demonstrated commitment to continuous learning, innovation, and enhancing both individual and team performance Extensive experience with unit and integration testing. Proven expertise in designing, implementing, and maintaining robust unit and integration tests to ensure software reliability and quality. Ability to troubleshoot and resolve dependency conflicts, versioning issues, and environment inconsistencies. Self-starter with the ability to independently set up a complete Python development environment from scratch. Proven ability to collaborate effectively with cross-functional teams to drive projects forward and deliver high-quality solutions. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications 1+ years of experience with Python packaging using setuptools, Poetry, or related tools. Familiarity with publishing Python packages to PyPI or private repositories. Experience automating package builds and releases (e.g., GitHub Actions, Bitbucket Pipelines, CI/CD). Strong ability to diagnose and resolve dependency conflicts, versioning issues, and environment inconsistencies to ensure seamless development and deployment workflows Experience designing and configuring Python-based stacks, including FastAPI, Pydantic, SQLAlchemy, Pandas, Celery and other relevant libraries. Comfortable compiling and installing Python from source when necessary. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience

Job Title: AI Engineer Location: Chennai Experience: 2-4 years Employment Type: Full-Time Job Summary: We are seeking an AI Engineer with strong proficiency in Python and hands-on experience in building AI-powered applications. The ideal candidate should have experience working with FastAPI, Langchain, and Pydantic, along with a solid understanding of Generative AI concepts, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop, integrate, and optimize AI-powered applications using FastAPI and Langchain. Design and deploy APIs using FastAPI with Pydantic for data validation. Implement and fine-tune solutions leveraging Large Language Models (LLMs). Build and optimize Prompt Engineering pipelines for LLM interactions. Design and implement Retrieval-Augmented Generation (RAG) solutions for enhanced contextual responses. Collaborate with data scientists, product managers, and engineers to deliver high-quality AI applications. Continuously research and experiment with advancements in Generative AI technologies. Key Skills & Technologies: Programming: Python (Intermediate to Advanced) Frameworks & Libraries: FastAPI (API development) Langchain (LLM integrations & workflows) Pydantic (Data validation and settings management) AI/ML Concepts: Generative AI (Basics) Large Language Models (LLM) Understanding architecture, capabilities, and limitations Prompt Engineering – Techniques for effective LLM interactions Retrieval-Augmented Generation (RAG) – Building hybrid retrieval-generation systems Version Control: Git, GitHub/GitLab CI/CD: Familiarity with deployment pipelines (optional) Preferred/Optional (Good to Have): Experience with AI Agent Frameworks such as: LangGraph CrewAI Knowledge of Vector Databases (e.g., FAISS, Chroma) Cloud Platforms (AWS, Azure, GCP) Containerization (Docker)

As a hands-on backend expert, you will be responsible for taking our FastAPI-based platform to the next level by building production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. Please note that this role is being hired for one of our client companies, and the company name will be disclosed during the interview process. In this role, you will have the opportunity to work on the following key areas: Core Backend Enhancements: - Build APIs - Harden security with OAuth2/JWT, rate-limiting, SecretManager, and observability with structured logging and tracing - Implement CI/CD, test automation, health checks, and SLO dashboards Awesome UI Interfaces: - Develop UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn LLM & Agentic Services: - Design micro/mini-services to host and route to OpenAI, Anthropic, local HF models, embeddings, and RAG pipelines - Implement autonomous/recursive agents that orchestrate multi-step chains including Tools, Memory, and Planning Model-Inference Infrastructure: - Set up GPU/CPU inference servers behind an API gateway - Optimize throughput with batching, streaming, quantization, and caching using technologies like Redis and pgvector NLP & Data Services: - Own the NLP stack focusing on Transformers for classification, extraction, and embedding generation - Build data pipelines that combine aggregated business metrics with model telemetry for analytics You will be working with the following tech stack: - Python, FastAPI, Starlette, Pydantic - Async SQLAlchemy, Postgres, Alembic, pgvector - Docker, Kubernetes, or ECS/Fargate on AWS or GCP - Redis, RabbitMQ, Celery for jobs and caching - Prometheus, Grafana, OpenTelemetry - HuggingFace Transformers, LangChain, Torch, TensorRT - OpenAI, Anthropic, Azure OpenAI, Cohere APIs - Pytest, GitHub Actions - Terraform or CDK To be successful in this role, you must have: - 3+ years of experience building production Python REST APIs using FastAPI, Flask, or Django-REST - Strong SQL schema design and query optimization skills in Postgres - Deep knowledge of async patterns and concurrency - Hands-on experience with UI applications that integrate with backend APIs - Experience with RAG, LLM/embedding workflows, prompt-engineering, and agent-ops frameworks - Cloud container orchestration experience - Proficiency in CI/CD pipelines and infrastructure-as-code Nice-to-have experience includes familiarity with streaming protocols, NGINX Ingress, RBAC, multi-tenant SaaS security, data privacy, event-sourced data models, and more. This role is crucial as our products are live and evolving rapidly. You will have the opportunity to own systems end-to-end, scale AI services, work closely with the founder, and shape the future of our platform. If you are seeking meaningful ownership and enjoy working on challenging, forward-looking problems, this role is perfect for you.,

You are seeking a hands-on backend expert to elevate your FastAPI-based platform to the next level by developing production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. In this role, you will be responsible for various key areas: 1. Core Backend Enhancements: - Building APIs - Strengthening security with OAuth2/JWT, rate-limiting, SecretManager, and enhancing observability through structured logging and tracing - Adding CI/CD, test automation, health checks, and SLO dashboards 2. Awesome UI Interfaces: - Developing UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn 3. LLM & Agentic Services: - Designing micro/mini-services to host and route to platforms such as OpenAI, Anthropic, local HF models, embeddings & RAG pipelines - Implementing autonomous/recursive agents that orchestrate multi-step chains for Tools, Memory, and Planning 4. Model-Inference Infrastructure: - Setting up GPU/CPU inference servers behind an API gateway - Optimizing throughput with techniques like batching, streaming, quantization, and caching using tools like Redis and pgvector 5. NLP & Data Services: - Managing the NLP stack with Transformers for classification, extraction, and embedding generation - Building data pipelines to combine aggregated business metrics with model telemetry for analytics You will be working with a tech stack that includes Python, FastAPI, Starlette, Pydantic, Async SQLAlchemy, Postgres, Docker, Kubernetes, AWS/GCP, Redis, RabbitMQ, Celery, Prometheus, Grafana, OpenTelemetry, and more. Experience in building production Python REST APIs, SQL schema design in Postgres, async patterns & concurrency, UI application development, RAG, LLM/embedding workflows, cloud container orchestration, and CI/CD pipelines is essential for this role. Additionally, experience with streaming protocols, NGINX Ingress, SaaS security hardening, data privacy, event-sourced data models, and other related technologies would be advantageous. This role offers the opportunity to work on evolving products, tackle real challenges, and lead the scaling of AI services while working closely with the founder to shape the future of the platform. If you are looking for meaningful ownership and the chance to solve forward-looking problems, this role could be the right fit for you.,

As a Full Stack Developer at our company, you will be utilizing your expertise in the MERN stack (MongoDB, Postgres, Express.js, React (NextJS), Node.js, Python, Fast API) to design, develop, test, and deploy web applications. Your responsibilities will include collaborating with cross-functional teams to deliver high-quality software solutions that align with business requirements. You will be working on developing server-side applications and APIs using Node.js and Express.js while integrating them with MongoDB and other databases. Additionally, you will be tasked with creating client-side applications using React and optimizing database performance for web applications. Your role will involve writing clean and efficient code, conducting code reviews, troubleshooting software defects, and staying updated with the latest trends in web development. To qualify for this position, you should hold a Bachelor's degree in Computer Science or a related field and possess at least 5 years of experience as a Full Stack Developer with proficiency in the MERN stack. Strong knowledge of front-end technologies like HTML5, CSS3, JavaScript, React, and back-end technologies such as Node.js, Express.js, along with experience in RESTful APIs and version control systems is required. Preferred qualifications include experience with JavaScript libraries like Redux, GraphQL, Next.js, and familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of containerization technologies like Docker and Kubernetes, DevOps practices, UI/UX design principles, and security best practices will be advantageous for this role. If you are someone with strong problem-solving skills, excellent communication abilities, and the flexibility to adapt to changing requirements in a fast-paced environment, we encourage you to apply for this position and become a valuable part of our agile development team.,

Role Senior Python Software Engineer Experience 7+ Years CTC – 25 LPA Shift Timings - US Shift (6PM - 3AM) Skills – Strong hands-on experience in Python3 application development, deployment & maintenance. Must have experience with FastAPI, Pydantic, SQLAlchemy, Pandas, and messaging queues like Celery, Kafka, or RabbitMQ. Should have worked in a Linux/Unix environment with good scripting and troubleshooting skills. Expertise in building scalable, high-performance, and secure applications. Strong in unit testing, integration testing, and CI/CD practices. Good knowledge of version control, Python packaging tools (Poetry, setuptools), and automation. Must be a self-starter with the ability to set up Python environments from scratch. Excellent debugging, analytical, and problem-solving skills. Bachelor’s degree in computer science, Engineering, or equivalent practical experience. Preferred background – Experience publishing packages to PyPI/private repositories. Comfortable compiling Python from source when needed. Familiarity with GitHub Actions or Bitbucket Pipelines. Certifications like AWS/GCP or open-source contributions are a plus.

Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies like Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Establish and manage CI/CD pipelines for seamless application deployment. Implement best practices for API design, development, and security. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control systems (e.g., Git) and collaborative workflo ws. What do we need from you Proven experience in leading technical teams and developing applications using microservice architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and automation tools. Knowledge of API design and implementation best practices. Experience working with monitoring and logging tools (e.g., Prometheus, Grafana). Strong understanding of security best practices in microservices-based applications. What do you get in return Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Ide a Tanks: Innovation lives here. Our Idea Tanks are your playground to pitch, experiment, and collaborate on ideas that can shape the future Growt h Chats: Dive into our casual Growth Chats where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snac k Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program . Fuel Your Growth Journey with Certific a tions: Were all about your growth groove! Level up your skills with our support as we cover the cost of your certifi c ations. Seniority Level Mid-Senior level

What you'll do Greetings from Data Security Council of India...!! The Data Security Council of India (DSCI) is a not-for-profit, industry body for data protection in India, setup by nasscom committed to making cyberspace safe, secure, and trustworthy by establishing cybersecurity best practices, standards, and initiatives in cyber security and privacy. DSCI engages with governments, regulators, industry sectors, and think tanks on policy advocacy, thought leadership, capacity building, and outreach initiatives. For more information, visit: www.dsci.in. We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R&D initiatives in cybersecurity and take ownership of TechSagar.in a knowledge repository for India's emerging technology capabilities. The ideal candidate will possess hands-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement and platform evangelism. Role & responsibilities : AI/ML & Cybersecurity Innovation Support R&D efforts to prototype generative AI models for real-time threat detection and cybersecurity. Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. Research and implement novel AI approaches, including multi-agent and reasoning-based systems. Develop distributed security monitoring frameworks using tools like AutoGen , CrewAI , etc. Build LLM-powered threat analysis tools using LangChain , LlamaIndex , and integrate with enterprise infrastructure. Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG-based systems. Create synthetic datasets for AI training and model evaluation. Use Pydantic for data validation within AI pipelines. TechSagar Product Responsibilities Manage and evolve the TechSagar.in platformenhancing features, ensuring data integrity, and driving usage. Liaise with tech partners, government bodies, startups, and academia to enrich platform content. Strategize and execute industry engagement plans to market TechSagar and establish its relevance. Represent TechSagar in external forums, conferences, and industry meetings. Collect user feedback, define product roadmap, and ensure alignment with AI/ML advancements. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. 12 years of hands-on experience in AI/ML model development and deployment. Strong programming expertise in Python . Familiarity with LangChain , LlamaIndex , and large language models (LLMs). Experience in applying AI to cybersecurity or vulnerability analysis. Good understanding of machine learning algorithms, data pipelines, and model evaluation. Excellent communication skills for technical and stakeholder engagement Preferred Skills: Exposure to generative AI , LLMs, and chain-of-thought reasoning techniques. Working knowledge of MLOps tools such as MLflow , Docker , etc. Familiarity with FastAPI or Flask for API development. Ability to preprocess, clean, and analyze large datasets efficiently. Experience in integrating AI tools with legacy or existing security systems. Technologies & Frameworks: LLM Frameworks: LangChain, LlamaIndex Multi-agent Systems: AutoGen, CrewAI Vector Databases: FAISS, Pinecone, Qdrant, Elasticsearch, AstraDB MLOps Tools: MLflow, Docker Programming & APIs: Python, FastAPI/Flask Data Validation: Pydantic Why Join Us? Be at the forefront of AI innovation in cybersecurity and national technology initiatives. Lead and shape a strategic tech product (TechSagar) with national impact. Collaborate with thought leaders in the AI, cybersecurity, and emerging tech ecosystem.

Skills -Pydantic, Python, SQl, Fast API Mail your resume with salary details: current CTC: Expected CTC: Notice Period: cynthia.s@noblq.com whatsapp -9677090220

We are looking for a Senior Python Software Engineer with at least 5 years of hands-on experience in developing and maintaining Python-based applications. The ideal candidate is a problem solver who thrives in a fast-paced environment and is passionate about building scalable, high-performance, and secure software solutions. In this role, you will work closely with cross-functional teams, contributing to the design, development, and optimization of our internal systems. Your expertise will help shape our technical landscape while ensuring best practices in code quality, testing, and maintainability . Key Responsibilities: Develop and maintain a variety of internal software applications using Python and related technologies. Collaborate with cross-functional teams to design, develop, and implement new features and enhancements. Ensure software solutions meet standards for scalability, performance, and security. Write clean, efficient, and well-documented code that satisfies project requirements. Participate in code reviews, providing and receiving feedback to improve overall code quality. Debug, troubleshoot, and resolve software defects and technical issues in a timely manner. Follow agile development methodologies, participating in sprint planning, daily stand-ups, and retrospectives. Continuously improve technical skills and stay current with industry best practices and emerging technologies. Conduct comprehensive unit and integration testing to ensure code quality and reliability. Assist in the deployment of applications and provide ongoing maintenance of production environments to ensure smooth operations. Required Skills & Experience : At least 5 years of continuous, professional experience as a Python3 Software Engineer, developing, deploying, and maintaining production-grade applications. Minimum 3 years of hands-on experience with at least 4 of the following Python frameworks, libraries, and tools: FastAPI, Pydantic, SQLAlchemy, Pandas, and messaging queues (e.g., Celery, Kafka, RabbitMQ). Minimum 3 years of experience working in a Linux/Unix environment with expertise in system navigation, scripting, and troubleshooting. Deep understanding of best practices for building scalable, high-performance, and secure software solutions. Strong analytical, problem-solving, and debugging skills with a proven ability to diagnose and resolve complex issues efficiently. Demonstrated commitment to continuous learning, innovation, and enhancing both individual and team performance Extensive experience with unit and integration testing. Proven expertise in designing, implementing, and maintaining robust unit and integration tests to ensure software reliability and quality. Ability to troubleshoot and resolve dependency conflicts, versioning issues, and environment inconsistencies. Self-starter with the ability to independently set up a complete Python development environment from scratch. Proven ability to collaborate effectively with cross-functional teams to drive projects forward and deliver high-quality solutions. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications: 1+ years of experience with Python packaging using setuptools, Poetry, or related tools. Familiarity with publishing Python packages to PyPI or private repositories. Experience automating package builds and releases (e.g., GitHub Actions, Bitbucket Pipelines, CI/CD). Strong ability to diagnose and resolve dependency conflicts, versioning issues, and environment inconsistencies to ensure seamless development and deployment workflows Experience designing and configuring Python-based stacks, including FastAPI , Pydantic, SQLAlchemy, Pandas, Celery and other relevant libraries. Comfortable compiling and installing Python from source when necessary. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience Commitment to Continuous Learning: Proven commitment to continuous learning, staying ahead of industry trends, and driving innovation by adopting emerging technologies, optimizing best practices, and applying creative problem-solving to real-world challenges. This includes actively exploring advancements in software development, contributing to open-source projects, obtaining relevant certifications, or implementing innovative solutions to improve efficiency and scalability." Examples: Staying current with Python ecosystem updates (e.g., migrating to FastAPI for better performance and async capabilities). Contributing to open-source projects or engaging with developer communities. Earning industry certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Developer). Implementing automation to streamline CI/CD pipelines and enhance deployment efficiency. Researching and adopting best practices for security and performance optimizations in production environments. This role provides an excellent opportunity for growth and offers exposure to a broad range of software development challenges. If you are passionate about coding and working in a collaborative, agile environment, we'd love to hear from you!

S&P Global Dow Jones Indices The Role : Senior Lead Development Engineer Python S&P Dow Jones Indices a global leader in providing investable and benchmark indices to the financial markets, is looking for a Senior Lead Development Engineer to join our technology team. The Team :You will be part of global technology team comprising of Dev, QA and BA teams and will be responsible for analysis, design, development and testing. Responsibilities and Impact : You will be working on one of the key systems that is responsible for calculating re-balancing weights and asset selections for S&P indices. Ultimately, the output of this team is used to maintain some of the most recognized and important investable assets globally. Design and development of Python applications deployed to AWS cloud services. Interface with UI application(s), RESTful interfaces, and diagnose issues. Coding, Documentation, Testing, Debugging, Documentation and level 3 support. Taking ownership of code modules and leading code review processes. Work directly with stakeholders and technical architect to formalize/document requirements for both supporting existing application as well as new initiatives. Perform Application & System Performance tuning and troubleshoot performance issues. Define and refine task definition, delegate tasks to team, and conduct code reviews / pull requests. Supervising and mentoring less experienced team member. Whats in it for you : This is an opportunity to work on a team of highly talented and motivated engineers at a highly respected company. You will work on new development as well as enhancements to existing functionality. What Were Looking For: Basic Qualifications : 10 - 12 years of IT experience in application development and support. Bachelor's degree in Computer Science, Information Systems, Engineering or, or in lieu, a demonstrated equivalence in work experience. Expert in modern Python 3.10 and late (minimum 5 years dedicated Python experience). Expertise in related Python libraries including Pandas, Numpy, Pydantic Experience with developing, troubleshooting distributable Python libraries. Backend services development including distributed libraries and packages in Python. Experience with AWS and cloud services including SQL databases, particularly PostgreSQL. Experience with DevOps and CI/CD processes (Jenkins, GitHub actions, etc.). Experience with software testing (unit testing, integration testing, test driven development). Strong Work Ethic, Communication and Thoughtfulness Additional Preferred Qualifications : Strong mathematics stills and understanding of financial markets (stocks, funds, indices, etc.) Algorithm development or rules engine experience is helpful. Demonstrated ability to solve complex, highly detailed business problems through software engineering skills (not just a coder / scripter but can work on system-wide problems). Basic understanding of creating calculation services that are consumed in a cloud environment over RESTful API. Prior ETL (Extract Transform Load) experience is helpful, but candidates should first be an experienced software engineer, and second very strong at analyzing data.

Responsibilities and Impact : You will be working on one of the key systems that is responsible for calculating re-balancing weights and asset selections for S&P indices. Ultimately, the output of this team is used to maintain some of the most recognized and important investable assets globally. Design and development of RESTful web services and with closely with UI developers Interfacing with various AWS infrastructure and services, deploying to Docker environment. Coding, Documentation, Testing, Debugging, Documentation and tier-3 support. Taking ownership of code modules and leading code review processes. Work directly with stakeholders and technical architect to formalize/document requirements for both supporting existing application as well as new initiatives. Perform Application & System Performance tuning and troubleshoot performance issues. Define and refine agile stories and task, delegate to team, conduct code reviews / pull requests. Coordinately closely with the QA team and the scrum master to optimize team velocity and task flow. Helps establish and maintain technical standards via code reviews and pull requests Whats in it for you : This is an opportunity to work on a team of highly talented and motivated engineers at a highly respected company. You will work on new development as well as enhancements to existing functionality. You will use your full range of skills as a full stack developer. What Were Looking For: Basic Qualifications : 10 - 15 years of IT experience in application development and support. Bachelor's degree in Computer Science, Information Systems, Engineering or, or in lieu, a demonstrated equivalence in work experience. Expert in modern Python 3.10+ (minimum 5 years dedicated, recent Python experience). AWS services experience including API Gateway, ECS / Docker, DynamoDB, S3, Kafka, SQS. SQL database experience including proficiency on Postgres. Python libraries experience including Pandas, Numpy, Pydantic, SQLAlchemy. Demonstrated experience at creating RESTful endpoints in Python (Flask, FastAPI, Sanic). JavaScript and UI development experience including one of the following: (Vue 3, React, Angular) REST API testing experience with Postman or Bruno. Strong CI/CD build process experience using Jenkins. Backend services development including distributed libraries and packages in Python. Experience with software testing (unit testing, integration testing, test driven development). Strong Work Ethic, Communication and Thoughtfulness Additional Preferred Qualifications: Good understanding of financial markets and investing (stocks, funds, indices, etc.) Experience working in mission-critical enterprise organizations A passion for creating high quality code and broad unit test coverage. Ability to understand complex business problems, break into smaller executable parts, and delegate.

S&P Global Dow Jones Indices The Role : Senior Lead Development Engineer Python S&P Dow Jones Indices a global leader in providing investable and benchmark indices to the financial markets, is looking for a Senior Lead Development Engineer to join our technology team. The Team : You will be part of global technology team comprising of Dev, QA and BA teams and will be responsible for analysis, design, development and testing. Responsibilities and Impact : You will be working on one of the key systems that is responsible for calculating re-balancing weights and asset selections for S&P indices. Ultimately, the output of this team is used to maintain some of the most recognized and important investable assets globally. Design and development of Python applications deployed to AWS cloud services. Interface with UI application(s), RESTful interfaces, and diagnose issues. Coding, Documentation, Testing, Debugging, Documentation and level 3 support. Taking ownership of code modules and leading code review processes. Work directly with stakeholders and technical architect to formalize/document requirements for both supporting existing application as well as new initiatives. Perform Application & System Performance tuning and troubleshoot performance issues. Define and refine task definition, delegate tasks to team, and conduct code reviews / pull requests. Supervising and mentoring less experienced team member. Whats in it for you : This is an opportunity to work on a team of highly talented and motivated engineers at a highly respected company. You will work on new development as well as enhancements to existing functionality. What Were Looking For : Basic Qualifications : 10 - 12 years of IT experience in application development and support. Bachelor's degree in Computer Science, Information Systems, Engineering or, or in lieu, a demonstrated equivalence in work experience. Expert in modern Python 3.10 and late (minimum 5 years dedicated Python experience). Expertise in related Python libraries including Pandas, Numpy, Pydantic Experience with developing, troubleshooting distributable Python libraries. Backend services development including distributed libraries and packages in Python. Experience with AWS and cloud services including SQL databases, particularly PostgreSQL. Experience with DevOps and CI/CD processes (Jenkins, GitHub actions, etc.). Experience with software testing (unit testing, integration testing, test driven development). Strong Work Ethic, Communication and Thoughtfulness Additional Preferred Qualifications : Strong mathematics stills and understanding of financial markets (stocks, funds, indices, etc.) Algorithm development or rules engine experience is helpful. Demonstrated ability to solve complex, highly detailed business problems through software engineering skills (not just a coder / scripter but can work on system-wide problems). Basic understanding of creating calculation services that are consumed in a cloud environment over RESTful API. Prior ETL (Extract Transform Load) experience is helpful, but candidates should first be an experienced software engineer, and second very strong at analyzing data.

IMPORTANT NOTE- 1. Only "Work From Office" criteria for all the employees. NO Hybrid/ Remote working will be allowed. 2. Outstation candidates are NOT eligible to apply. Only looking for candidates who are currently in Chennai OR Kochi. 3. Notice Period should not be more than 60 Days. Hiring for- Leading IT Client Location - Chennai and Kochi (according to current location of candidate) Role - Python Fullstack Developer Salary - 30% hike on current fixed CTC (no hike will be given on a counter offer) Availability to join - Immediate to within 60 Days WORK FROM OFFICE (NO remote/ hybrid working policies) Your responsibilities will include: Understanding and translating customer requirements to technical specifications Modeling REST APIs and writing effective and scalable Python codes Designing and implementing robust & highly available secure applications Debugging applications to ensure low-latency and high-availability Integrating user-facing elements with server-side logic Implementing security and data protection Accommodating various data storage solutions. Key Requirements- Degree in Computer Science, Engineering, or a related field (MANDATORY) 1 year to 4.5 years of experience as a Python Web Developer (MANDATORY) Good Knowledge in Django, Flask or similar Python web frameworks would be preferable. Knowledge in REST APIs would be preferable Familiarity with front-end technologies, such as JavaScript, HTML5, and CSS3 Experience with Postgres database Hands on in web servers like Fast API/Starlette/SQL Alchemy/Pydantic Knowledge of ORM (Object Relational Mapper)