39 Asyncio Jobs

Primary Responsibilities: Design, develop, and maintain RESTful APIs using Python , Flask , or FastAPI . Implement and manage scalable backend architecture, applying SOLID principles and clean coding practices. Ensure high performance and responsiveness of applications, especially in high-load environments. Write efficient, reusable, and testable Python code. Work with frontend engineers using React to integrate backend APIs seamlessly. Troubleshoot production issues, apply hotfixes, and ensure system stability. Implement caching strategies, indexing, and optimization techniques to boost application performance. Apply concurrency principles and handle Python's Global Interpreter Lock (GIL) where appropriate. Use virtual environments and proper dependency management for project isolation and reproducibility. Write and review unit/integration tests, code quality tools, and documentation. Key Skills: Primary (Must-Have): Strong Python fundamentals Flask & FastAPI for API development Virtual environments ( venv , virtualenv ) Understanding of GIL and concurrency (threading, multiprocessing, asyncio) Solid grasp of Python concepts like @staticmethod , @classmethod , and instance methods Knowledge of generators, deep vs shallow copy, decorators SOLID principles and design best practices Experience with caching (e.g., Redis), performance tuning, indexing Debugging and resolving production issues effectively Secondary (Good to Have): React.js - basic understanding to collaborate with frontend teams Experience with deployment, CI/CD, Docker, and cloud services is a plus Required Skills

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we&aposre looking for passionate people to join our mission. If you&aposre ready to help the world&aposs best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide businesses with a state-of-the-art observability platform, leveraging advanced technologies to deliver real-time insights into the performance of software applications and infrastructure. We enable organizations to monitor, analyze, and optimize their systems to achieve enhanced reliability, performance, and user experience. New Relic is a leader in the industry and has been on the forefront of developing cutting edge AI/ML solutions to revolutionise observability. What You&aposll Do Drive the design, development, and enhancement of core features and functionalities of our AI platform with micro-services architecture and deliver scalable, secure and reliable solutions Be proactive in identifying and addressing performance bottlenecks, applying optimizations, and maintaining the stability and availability of our platform Build thoughtful, high-quality code that is easy to read and maintain Collaborate with your team, external contributors, and others to help solve problems. Write and share proposals to improve team processes and approaches. This role requires Bachelors degree in Computer Science discipline or related field 8+ years of experience as a Software Engineer working with Python, developing production grade applications Demonstrated experience in designing, developing, and maintaining large-scale cloud platforms with a strong understanding of scalable distributed systems and microservices architecture Proficiency in back-end frameworks such as Flask/FastAPI; Pydantic for robust models; asyncio, aiohttp libraries for asynchronous request handling; Decorators for abstraction; Pytest for testing Competency in using Python threading and multiprocessing modules for parallel task execution. Knowledge of Coroutines. Understand the GIL and its implications on concurrency Experience in building secure infrastructure having simulated race condition attacks, injection attacks; leading teams through real incident management situations with strong debugging skills Demonstrated experience in working with both Relational and NoSQL DBs; message queueing systems (SQS/Kafka/RabbitMQ) Up to date with cloud technologies - AWS/Azure/GCP, Serverless, Docker, Kubernetes, CI/CD pipelines among others Bonus points if you have Exposure to Machine Learning and GenAI technologies Experience with Observability Please note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics different backgrounds and abilities, and recognize the different paths they took to reach us including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. Were looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to [HIDDEN TEXT]. We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy Show more Show less

As a Senior Full-Stack Engineer at our company, you will be responsible for designing and building web applications and microservices using MERN technologies and Python backend frameworks. Your expertise in FastAPI, asynchronous programming, and database optimization will be essential in delivering scalable, efficient, and maintainable software solutions. Your key responsibilities will include developing and maintaining web applications using the MERN stack and Python backend microservices, building efficient APIs with Python frameworks like FastAPI, leading architecture decisions for both frontend and backend systems, collaborating with UX/UI designers, mentoring junior developers, and managing databases such as MongoDB and PostgreSQL. Additionally, you will be deploying, monitoring, and maintaining applications on AWS cloud infrastructure, implementing CI/CD pipelines, and participating in Agile development practices. To excel in this role, you should have hands-on experience with MongoDB, Express.js, React.js, and Node.js, along with proven expertise in Python backend development using FastAPI and Flask. Your deep understanding of asynchronous programming, microservices architecture, and RESTful/GraphQL APIs will be crucial. Familiarity with AWS services, Git, CI/CD tools, and automated testing workflows is also required. We are looking for a candidate with strong problem-solving skills, excellent communication abilities, and the capability to lead teams, mentor developers, and make key technical decisions. If you are comfortable working in Agile environments and are passionate about building scalable, secure, and high-performance applications, we would like to hear from you.,

As a Senior Software Engineer - Python at our company located in Infopark, Kochi, you will have the opportunity to work in an innovative environment that fosters creativity and problem-solving. With over 7 years of experience in Python development, you will lead development teams on enterprise-grade projects, making architectural decisions, and ensuring high code quality. In this role, you will be responsible for building and maintaining robust, scalable backend services using Python frameworks such as Django, FastAPI, and Flask. You will design APIs, background workers, and data pipelines while mentoring junior and mid-level developers to help them grow in their careers. Collaboration is key in our team-oriented environment where your technical expertise will be crucial in translating business requirements into technical solutions. By working closely with DevOps, you will define CI/CD pipelines and deployment strategies, as well as collaborate on containerization and orchestration using Docker and Kubernetes. To excel in this position, you should have a strong command over Python frameworks, experience in API development and integration, and familiarity with both relational and NoSQL databases. Additionally, hands-on experience with DevOps tools, cloud platforms, and security best practices will be beneficial. If you have a bachelor's degree in Computer Science, Engineering, or a related field, along with strong problem-solving abilities, excellent communication skills, and the ability to manage priorities in a fast-paced environment, we encourage you to apply. Join us for a rewarding career with opportunities for professional growth, competitive compensation, and a collaborative culture that values your contributions.,

You will be responsible for designing, developing, and scaling the AI Agent Framework that powers automation-first modules in RevAi Pro, such as Tell Me, Action Center, and intelligent AI agents. This role is critical to shaping the core foundation of how automation, enterprise search, and just-in-time execution work inside our platform. Architect and implement the core orchestration engine for AI agents (event-driven/task-based). Manage agent lifecycle functions such as spawn, pause, escalate, and terminate. Enable secure, real-time communication between agents, services, and workflows. Integrate memory and retrieval systems using vector databases like Pinecone, Weaviate, or Qdrant. Integrate LLM providers (OpenAI, Azure OpenAI, Anthropic, Mistral, etc.) into agent workflows. Create modular prompt templates with retry/fallback mechanisms. Implement chaining logic and dynamic tool use for agents using LangChain or LlamaIndex. Develop reusable agent types such as Summarizer, Validator, Notifier, Planner, etc. Develop FastAPI-based microservices for agent orchestration and skill execution. Create APIs to register agents, execute agent actions, and manage runtime memory. Implement RBAC, rate limiting, and security protocols for multi-tenant deployments. Build connectors to integrate structured (CRM, SQL) and unstructured data sources (email, docs, transcripts). Route incoming data streams to relevant agents based on workflow and business rules. Support ingestion from tools like Salesforce, HubSpot, Gong, and Zoom. Deploy the agent platform using Docker and Kubernetes on Azure. Implement Redis, Celery, or equivalent async task systems for agent task queues. Set up observability to monitor agent usage, task success/failure, latency, and hallucination rates. Create CI/CD pipelines for agent modules and prompt updates. Ideal Candidate Profile: - 2-4 years of experience in backend engineering, ML engineering, or agent orchestration. - Strong command over Python (FastAPI, asyncio, Celery, SQLAlchemy). - Experience with LangChain, LlamaIndex, Haystack, or other orchestration libraries. - Hands-on with OpenAI, Anthropic, or similar LLM APIs. - Comfortable with vector embeddings and semantic search systems. - Understanding of modern AI agent frameworks like AutoGen, CrewAI, Semantic Planner, or ReAct. - Familiarity with multi-tenant API security and SaaS architecture. - Bonus: Frontend collaboration experience to support UI for agents and dashboards. - Bonus: Familiarity with SaaS platforms in B2B domains like RevOps, CRM, or workflow automation. What You'll Gain: - Ownership of agent architecture inside a live enterprise-grade AI platform. - Opportunity to shape the future of AI-first business applications. - Collaboration with founders, product leaders, and early enterprise customers. - Competitive salary with potential ESOP. - First-mover engineering credit on one of the most advanced automation stacks in SaaS.,

You will be responsible for designing and building backend components of our MLOps platform in Python on AWS. This includes collaborating with geographically distributed cross-functional teams and participating in an on-call rotation with the rest of the team to handle production incidents. To be successful in this role, you should have at least 3+ years of professional backend development experience with Python. Additionally, you should have experience with web development frameworks such as Flask or FastAPI, as well as working with WSGI & ASGI web servers like Gunicorn and Uvicorn. Experience with concurrent programming designs such as AsyncIO, containers (Docker), AWS ECS or AWS EKS, unit and functional testing frameworks, and public cloud platforms like AWS is also required. Nice-to-have skills include experience with Apache Kafka and developing Kafka client applications in Python, MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow, big data processing frameworks like Apache Spark, DevOps & IaC tools such as Terraform and Jenkins, various Python packaging options like Wheel, PEX, or Conda, and metaprogramming techniques in Python. You should hold a Bachelor's degree in Computer Science, Information Systems, Engineering, Computer Applications, or a related field. In addition to competitive salaries and benefits packages, Nisum India offers its employees continuous learning opportunities, parental medical insurance, various activities for team building, and free meals including snacks, dinner, and subsidized lunch.,

As a Software Engineer - Backend (Python) with over 7 years of experience, you will be based in Hyderabad and play a crucial role in developing the backend components of the GenAI Platform. Your responsibilities will include designing and constructing backend features for the platform on AWS, collaborating with cross-functional teams spread across different locations, and participating in an on-call rotation for managing production incidents. To excel in this role, you must possess the following skills: - A minimum of 7 years of professional experience in backend web development using Python. - Proficiency in AI, RAG, DevOps, and Infrastructure as Code (IaC) tools like Terraform and Jenkins. - Familiarity with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow. - Expertise in web development frameworks like Flask, Django, or FastAPI. - Knowledge of concurrent programming concepts like AsyncIO. - Experience with public cloud platforms such as AWS, Azure, or GCP, preferably AWS. - Understanding of CI/CD practices, tools, and frameworks. Additionally, the following skills would be advantageous: - Experience with Apache Kafka and developing Kafka client applications using Python. - Familiarity with big data processing frameworks, particularly Apache Spark. - Proficiency in containers (Docker) and container platforms like AWS ECS or AWS EKS. - Expertise in unit and functional testing frameworks. - Knowledge of various Python packaging options such as Wheel, PEX, or Conda. - Understanding of metaprogramming techniques in Python. Join our team and contribute to creating a safe, compliant, and efficient access platform for LLMs, leveraging both Opensource and Commercial resources while adhering to Experian standards and policies. Be a part of a dynamic environment where you can utilize your expertise to build innovative solutions and drive the growth of the GenAI Platform.,

We have an urgent requirement for Python Developers (3-5 years of exp). Job Description: Our clients data platform consists of a series of Python microservices, which become integrated through REST and RabbitMQ. We are actively searching for an enthusiastic Core Python Developer to become a valuable member of our vibrant team. The selected individual will play a pivotal role in advancing our platform, making it more feature-rich, robust, streamlined, and performant by employing innovative architectural and development principles. Responsibilities: Python Development: Write clean, maintainable, and efficient Python code in line with common Pythonic principles. Develop and maintain Python microservices, ensuring seamless integration with our existing platform stack. Utilize common Python data libraries, such as Pandas, Polars, NumPy, and SciPy for data manipulation and analysis tasks. Familiarity with asynchronous programming in Python using libraries like asyncio or Dask and understanding of concurrency and parallelism concepts. Write unit tests for developed code using pytest to ensure functionality and reliability. Collaborate with the QA team to ensure comprehensive test coverage. API Development & Integration: Design and develop RESTful APIs using frameworks like FastAPI and Flask. Ensure smooth communication between microservices via REST and message brokers like RabbitMQ. Messaging/Caching Systems: Understand and work with pub/sub architectures and are familiar with message brokers including RabbitMQ and Kafka. Implement and manage caching solutions using Redis to enhance application performance. Version Control: Use Git for source code management, adhering to best practices for branching, merging, and collaborative development. Database Operations: Work with database technologies such as PostgreSQL and SQLite, understanding schema design, querying, and optimization. Technical Skills Required : Bachelors degree in Computer Science, Engineering, or a related field. 3-5 years minimum as a Python Developer with a solid understanding of the Python language and its best practices, adhering to common Pythonic principles. Development experience within the paradigms of microservices, cloud technologies and modern containerization platforms, e.g. AWS, Azure, GCP, Docker, and Kubernetes. Proficient in implementing and managing Redis as an in-memory data structure store, used for caching, session management, and real-time analytics. Familiarity with Redis data types, such as strings, lists, sets, and hashes, and their appropriate use cases. Strong understanding of RabbitMQ as a message broker, facilitating asynchronous processing and inter-service communication. Familiarity with RabbitMQ&aposs exchange types, routing, and queue bindings, and the ability to troubleshoot common RabbitMQ issues. Proficient in writing tests using libraries like pytest or unit test to ensure code reliability and functionality. Experience with Object-Relational Mapping tools like SQLAlchemy or Django ORM, simplifying database operations and queries. Strong understanding of relational database concepts, with hands-on experience in designing, querying, and managing data using PostgreSQL, SQLite and Cloud Data Warehouses. Familiarity with normalization, indexing, and optimization techniques to ensure efficient data retrieval and storage. Experience in developing applications using frameworks like FastAPI, Flask or Django to simplify tasks like routing, database operations, and security authentication/authorization flows as examples. Familiar with tools like Jenkins, Travis CI, or GitHub Actions to automate the building, testing, and deployment of applications throughout the CI/CD lifecycle. Proactively identify challenges and bottlenecks, employing strong troubleshooting skills to address them. Soft Skills Required : Strong verbal and written communication skills. Energetic, self-directed, and comfortable in a fast-paced environment. Team player with good interpersonal skills and quick to learn. Show more Show less

It is on a journey to become the premier title services company. We offer personalized service, industry expertise and customized solutions for virtually any type of real estate transaction and are a leading global real estate services provider. At our core, we help make property ownership around the world possible. In doing that, we take every step to foster meaningful relationships through our ingenuity and efforts and are dedicated to going above and beyond to provide the best experience for employees and customers alike. To do so, we know we must sustainably serve our employees, shareholders, customers and our communities at large. That s why we are committed to creating an inclusive workplace that fosters a deep sense of pride, passion, respect and belonging, while lessening our impact on the environment and providing transparency around the way we do business. Position: Python Developer Experience Required - 3 to 5 Years of experience in Python with Fast API. Work Location: Navi Mumbai (JuiNagar). Key Responsibilities: Design, implement, and maintain efficient and reusable Python code. Collaborate with cross-functional teams to define, design, and ship new features. Optimize applications for maximum performance, scalability, and security. Integrate user-facing elements with server-side logic. Implement data storage solutions (e.g., databases, caching systems). Identify bottlenecks and bugs and devise solutions to address these issues. Participate in code reviews to maintain code quality and standards. Write and maintain clear, well-documented code and technical documentation. Stay updated with the latest industry trends and best practices in Python development. Required Skills and Qualifications: Proficiency in Python: Strong knowledge of Python programming language and its frameworks (e.g., Django, Fast API ). Web Development: Experience with front-end technologies such as HTML5, CSS3, and JavaScript is a plus. Database Knowledge: Experience working with databases such as Snowflake, MySQL or PostgreSQL. RESTful API Development: Ability to design and implement RESTful APIs. Version Control: Proficiency with Git or similar version control systems. Experience with asynchronous programming (e.g., asyncio, Celery). Testing Automation Framework (Pytest / Behave / PyUnit ) Data structure and Algorithms Preferred Qualifications: Experience with cloud platforms (AWS/ Azure). Familiarity with CI/CD pipelines.

You are a Middle Python Developer joining our international team to contribute to the development of our products. We are seeking individuals with a high-energy level and a passion for continuous learning, balancing work and personal life while striving to deliver exceptional productivity that directly impacts the success of our clients. Your responsibilities will include writing well-designed, testable, and efficient code, along with creating unit tests for each module. You will have hands-on experience in coding full applications, managing errors effectively, and working with RESTful and gRPC based microservices & pub/sub messaging. Additionally, you will be involved in implementing self-contained User Stories deployable via Kubernetes, participating in code reviews, exploring new technologies, and suggesting technical improvements. Designing and developing messaging-based Applications for URLLC Services through Event-Queues, Event-Audit, and Caching will also be part of your duties. To be successful in this role, you should have at least 2 years of development experience using the latest frameworks, fluency in Python (2.6+ and 3.3+), proficiency in Linux, and experience with frameworks such as Flask/Django, Bottle, uWSGI, Nginx, Jenkins/CI, etc. Knowledge of rapid-prototyping, RESTful and gRPC based microservices & pub/sub messaging, as well as familiarity with technologies like API Gateway Kong, Apigee, Firebase, OAUTH, 2-MFA, JWT, etc, is essential. Experience with data storage tools including RDBMS (Oracle, MySQL Server, MariaDB), Kafka, Pulsar, Redis Streams, ORM (SQLAlchemy, Mongoose, JPA, etc), and intermediate English skills are required. Experience with Containers and Cloud PaaS (K8S, Istio, Envoy, Helm, Azure, etc), Docker, CI/CD, developing instrumentation, ASYNCIO-function in TRY/CATCH block with Error Tracepoints, expertise in building microservice architecture, a software engineering degree or equivalent, and familiarity with Agile methodologies will be considered a plus. In return, we offer a competitive salary based on your experience, opportunities for career growth, a flexible work schedule, minimal bureaucracy, professional skills development programs, paid sick leaves, vacation days, and corporate events. Additionally, you will have the possibility to work remotely.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

We are searching for an experienced Python Developer to become a part of our dynamic development team. The ideal candidate should possess 2 to 5 years of experience in constructing scalable backend applications and APIs using contemporary Python frameworks. This position necessitates a solid foundation in object-oriented programming, web technologies, and collaborative software development. Your responsibilities will involve close collaboration with the design, frontend, and DevOps teams to deliver sturdy and high-performance solutions. Your key responsibilities will include developing, testing, and maintaining backend applications utilizing Django, Flask, or FastAPI. You will also be responsible for building RESTful APIs and incorporating third-party services to enrich platform capabilities. Utilization of data handling libraries such as Pandas and NumPy for efficient data processing is essential. Additionally, writing clean, maintainable, and well-documented code conforming to industry best practices, participating in code reviews, and mentoring junior developers are part of your role. You will collaborate within Agile teams using Scrum or Kanban workflows and troubleshoot and debug production issues proactively and analytically. Required qualifications for this position include 2 to 5 years of backend development experience with Python, proficiency in core and advanced Python concepts, strong command over at least one Python framework (Django, Flask, or FastAPI), experience with data libraries like Pandas and NumPy, understanding of authentication/authorization mechanisms, middleware, and dependency injection, familiarity with version control systems like Git, and comfort working in Linux environments. Must-have skills for this role consist of expertise in backend Python development and web frameworks, experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs), strong debugging, problem-solving, and optimization skills, experience with API development and microservices architecture, and a deep understanding of software design principles and security best practices. Good-to-have skills include exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch), knowledge of containerization tools (Docker, Kubernetes), familiarity with web servers (e.g., Apache, Nginx) and deployment architectures, understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO), familiarity with Agile practices and tools like Jira or Trello, and exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). In return, we offer competitive compensation based on your skills and experience, generous time off with 18 annual holidays to maintain a healthy work-life balance, continuous learning opportunities while working on cutting-edge projects, and valuable experience in client-facing roles to enhance your professional growth.,

As a member of the MeeTri team, you will work alongside a group of experienced executives dedicated to customer satisfaction and technical innovation. Our goal is to establish global leadership in IT services by delivering high-quality solutions to clients through a combination of technology skills, domain expertise, and long-term client relationships. Your responsibilities will include optimizing backend performance through various techniques such as AsyncIO, multithreading, and multiprocessing. You will take the lead on project technical aspects, including architecture design and technology stack decisions. Additionally, you will develop modern web applications using the MERN stack and mentor junior developers while enforcing best practices. In this role, you will work with PostgreSQL and MongoDB for database management, optimization, and design. Deployment and management of applications using AWS services like EC2 Lambda, S3 RDS will also be part of your responsibilities. You will be involved in implementing CI/CD pipelines and automation for seamless deployment and continuous integration. Collaboration with UX/UI designers to create intuitive and responsive user interfaces is key. You will participate in Agile development processes, ensuring high application performance, scalability, and security on both frontend and backend. Implementing cloud-based solutions for high availability and disaster recovery will also be part of your role. To be successful in this position, you should have strong experience with Python (Flask, FastAPI), building efficient APIs and proficiency in languages like Node.js, React.js, Express.js, Flask, and Django. Experience with database technologies like PostgreSQL, MongoDB, and optimization is essential. Expertise in AsyncIO, multithreading, and multiprocessing for concurrency is required, along with familiarity with AWS services and CI/CD tools. Strong leadership abilities, mentoring skills, and problem-solving capabilities will be valuable assets in this role. Join us at MeeTri Infotech and be a part of our dynamic team led by Kavya Jain.,

As a Senior Python Developer, you will be leading Python development teams on enterprise-grade projects. Your responsibilities will include owning and driving architectural decisions and ensuring code quality. You will conduct design and code reviews to guarantee adherence to best practices. In terms of backend development, you will be tasked with building and maintaining robust, scalable backend services using Python frameworks such as Django, FastAPI, and Flask. Your role will involve designing APIs, background workers, and data pipelines. A crucial aspect of your position will be team mentoring. You will mentor and guide junior and mid-level developers, providing them with training, performance feedback, and career guidance. Regarding DevOps and Deployment, you will collaborate with DevOps to define CI/CD pipelines and deployment strategies. Additionally, you will work on containerization using Docker and orchestration with Kubernetes. In your interactions with clients and stakeholders, you will be expected to translate business requirements into technical solutions. You will also participate in client calls for requirement gathering, demos, and feedback sessions. To excel in this role, you should have at least 7 years of Python development experience. You must demonstrate a strong command over frameworks like Django, FastAPI, and Flask, as well as proven experience in API development and integration (REST, GraphQL). Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases is essential. A solid understanding of system architecture, design patterns, and scalability is required, along with familiarity with asynchronous programming (e.g., Celery, asyncio) and tools like Docker, Git, and CI/CD pipelines. Exposure to cloud platforms (AWS/GCP/Azure) and knowledge of security best practices (OWASP, data protection) are also expected. Preferred skills for this role include experience with AI/ML pipelines, data engineering, or microservices, as well as prior experience in leading Agile/Scrum teams. Familiarity with front-end technologies (React/Angular) is a plus, along with contributions to open-source projects or technical blogs. Soft skills that will benefit you in this position include strong problem-solving and decision-making abilities, excellent communication and stakeholder management skills, and the ability to multitask and manage priorities in a fast-paced environment. A team-oriented approach with a proactive and collaborative mindset is highly valued.,

Objectives Of This Role Design and implement efficient, scalable backend services using Python. Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions. Build APIs, services, and scripts to support data processing pipelines and front-end applications. Automate recurring tasks and ensure robust integration with cloud services. Maintain high standards of software quality and performance using clean coding principles and testing practices. Collaborate within the team to upskill and unblock each other for faster and better outcomes. Primary Skills Python Development Proficient in Python 3 and its ecosystem Frameworks Flask/Django/FastAPI RESTful API development Understanding of OOPs and SOLID design principles Asynchronous programming (asyncio, aiohttp) Experience with task queues (Celery, RQ) Database & Storage Relational Databases: PostgreSQL / MySQL NoSQL : MongoDB / Redis / Cassandra ORM Tools : SQLAlchemy / Django ORM Bonus Skills Data handling libraries: Pandas / NumPy Experience with scripting: Bash / PowerShell Functional programming concepts Familiarity with front-end integration (REST API usage, JSON handling) Other Skills Innovation and thought leadership Interest in learning new tools, languages, workflows Strong communication and collaboration skills Basic understanding of UI/UX principles Skills Python, Algorithms, Flask, Django and MongoDB

Responsibilities: * Implement multithreaded solutions using Asyncio. * Develop scalable Python script with NumPy, TensorFlow & Deep Learning. * Create object ID & face ID with real time analytics via raw image

We are seeking a Senior Python Developer to join our international team and contribute to the development of our products. We are looking for individuals who are enthusiastic, lifelong learners, prioritize work-life balance, and are committed to delivering high productivity to ensure the success of our customers. Responsibilities: - Maintain high-quality development standards. - Collaborate with the Customer Solutions department and Product Manager on the design and creation of User Stories. - Implement self-contained User Stories that are ready for containerization and deployment via Kubernetes. - Work with the QA team to ensure test planning and automated test implementations, driving continuous improvement cycles. - Conduct prototyping and explore new technology areas such as image recognition, robotic controls, high-speed messaging, and K8S orchestration. - Develop full applications with robust error management, RESTful and gRPC based microservices, and pub/sub messaging. - Participate in code reviews, test new concepts, suggest technical improvements, and lead by example in coding techniques. - Design and develop messaging-based Applications for URLLC Services via Event-Queues, Event-Audit, and Caching. - Demonstrate expertise in state machines, workflows, refactoring strategies, error management, and software instrumentation. Required experience and skills: - 4+ years of development experience using the latest frameworks. - Proficiency in Python (Python 2.6+, Python 3.3+). - Experience with frameworks like Flask/Django, Bottle, uWSGI, Nginx, Jenkins/CI, etc. - Hands-on experience with rapid prototyping, RESTful and gRPC based microservices, and pub/sub messaging. - Ability to create Python backend microservices. - Familiarity with technologies such as API Gateway Kong, Apigee, Firebase, OAUTH, 2-MFA, JWT, etc. - Experience with data storage tools like RDBMS (Oracle, MySQL Server, MariaDB), Kafka, Pulsar, Redis Streams, etc. - Knowledge of ORM tools (SQLAlchemy, Mongoose, JPA, etc). - Expertise in building microservice architecture. - Upper-Intermediate English proficiency or above. Additional qualifications that would be a plus: - Experience with Containers and Cloud PaaS technologies like K8S, Istio, Envoy, Helm, Azure, etc. - Proficiency in Docker, CI/CD. - Experience in developing instrumentation, using ASYNCIO-function in TRY/CATCH block with Error Tracepoints. - Experience as a Tech Lead. - Familiarity with Agile methodologies. We offer: - Competitive salary based on your professional experience. - Career growth opportunities. - Flexible work schedule. - Minimal bureaucracy. - Professional skills development and training programs. - Paid sick leaves, vacation days, and public holidays. - Participation in corporate events. - Remote work possibilities.,

As a Software Engineer - Backend (Python) with 7+ years of experience, you will be responsible for designing and building the backend components of the GenAI Platform in Hyderabad. Your role will involve collaborating with geographically distributed cross-functional teams and participating in an on-call rotation to handle production incidents. The GenAI Platform offers safe, compliant, and cost-efficient access to LLMs, including Opensource & Commercial ones, while adhering to Experian standards and policies. You will work on building reusable tools, frameworks, and coding patterns for fine-tuning LLMs or developing RAG-based applications. To succeed in this role, you must possess the following skills: - 7+ years of professional backend web development experience with Python - Experience with AI and RAG - Proficiency in DevOps & IaC tools like Terraform, Jenkins - Familiarity with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow - Expertise in web development frameworks such as Flask, Django, or FastAPI - Knowledge of concurrent programming designs like AsyncIO - Experience with public cloud platforms like AWS, Azure, GCP (preferably AWS) - Understanding of CI/CD practices, tools, and frameworks Additionally, the following skills would be considered nice to have: - Experience with Apache Kafka and developing Kafka client applications in Python - Familiarity with big data processing frameworks, especially Apache Spark - Knowledge of containers (Docker) and container platforms like AWS ECS or AWS EKS - Proficiency in unit and functional testing frameworks - Experience with various Python packaging options such as Wheel, PEX, or Conda - Understanding of metaprogramming techniques in Python Join our team and contribute to the development of cutting-edge technologies in a collaborative and dynamic environment.,

As a Fullstack Developer with at least 6+ years of experience, you will be located in Hyderabad, Bangalore, or Chennai with shift timings from 2PM to 11PM. Your role will require expertise in Python, Django, React, and Redux. Your responsibilities will include demonstrating hands-on proficiency in Python application programming, Django REST framework, and Flask. You will be responsible for creating services such as message intake and processing pipelines, REST APIs, data manipulation, and external services calling. Your skill set should encompass Pandas, Pytest, Exception handling, Multithread concepts, Asyncio, and gRPC for Python microservices. In addition, you will be tasked with developing and implementing user interface components using React.js, Redux, and Webpack. A solid understanding of TypeScript, JavaScript, and React concepts is essential for this role. A top-class react.js developer should be capable of designing and constructing modern user interface components to optimize application performance. Participation in architectural, design, and product discussions is expected, along with experience in Agile/Scrum based project executions. Nice to have skills include familiarity with Unit testing frameworks like Junit, strong knowledge of CI/CD using Jenkins/Bamboo, understanding of Cloud App services, Load Balancer, Application Gateway, and hands-on experience with Cloud services, ideally Azure, including Azure Active Directory and Notification Hub. To excel in this role, you should possess a team-oriented mindset, collaborate effectively with the development team, demonstrate problem-solving abilities, self-sufficiency, excellent communication skills, and proficiency in documentation. An understanding of the Agile Scrum framework is also required.,

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.,

Asynchronous Programming: Deep, practical knowledge of AsyncIO is mandatory. Experience with async/await syntax and libraries like AIOHTTP and AIOGRPC. Web & API Frameworks Network Automation Task Queues & Concurrency: Celery. Testing Frameworks

Dear Candidate, We are hiring a Full-Stack Developer to craft end-to-end web applications using Node.js and Vue.js. Best suited for developers who enjoy versatility and owning features from concept to deployment. Key Responsibilities: Build server-side logic with Node.js (Express/NestJS) Develop dynamic UIs using Vue 3 and Composition API Design schema and queries with SQL or MongoDB Write reusable components and maintain style consistency Work in a collaborative agile team environment Required Skills & Qualifications: Solid experience with JavaScript/TypeScript across the stack Proficiency in Vue.js and modern frontend practices Familiarity with REST/GraphQL and WebSockets Bonus: Experience with SSR (Nuxt.js), testing frameworks, or Firebase Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Sr. Consultant Reactjs Developer with Typescript

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. Were looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering Were looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) WHAT YOU WILL DO- Build and optimize machine learning models from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform BASIC SKILLS Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. ADVANCED SKILLS Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic

What you will do Build robust backend services and APIs using Python (FastAPI, asyncio) for GenAI workflows and LLM-based systems. Develop and maintain GenAI applications using tools like LangChain, LangGraph, and Cohere, integrating them with custom APIs and data sources. Contribute to systems that enable intelligent routing of prompts, dynamic tool execution, and seamless model-data integration across multiple sources Write clean, modular code for model integration, semantic search, and multi-step agent workflows. Package and deploy applications using Docker and Kubernetes, ensuring scalability and security. Collaborate with data engineers, AI scientists, and infra teams to ship end-to-end features quickly, without sacrificing quality. What you need to succeed Must Have Strong backend development skills in Python Solid understanding of machine learning and generative AI Degree in Computer Science or Engineering Experience deploying services with Docker and Kubernetes in a cloud environment. Familiarity with LLM APIs (OpenAI, Cohere) and how to build prompt-based applications around them. Comfortable writing and debugging PySpark jobs and working with Delta Lake in Databricks. Experience working with Git workflows, CI/CD, and container-based deployments. Nice to Have Experience with LangChain, LangGraph, or other LLM orchestration frameworks. Experience building and deploying MCP Servers, AI Agents Experience with any vector database. Experience with ML FLow