55 Asyncio Jobs

Role Overview: As a member of our team, you will be instrumental in the design and development of Product 2: the Energy Management System (EMS). You will play a key role in building the system from scratch, focusing on various aspects such as writing EMS logic, integrating with different systems, building telemetry pipelines, and ensuring the platform's reliability and scalability. Key Responsibilities: - Write EMS logic for charging, discharging, and scheduling - Connect to inverters and battery management systems using Modbus and CAN bus - Build telemetry pipelines and reporting tools - Ensure the platform's reliability and scalability Qualifications Required: - Proficiency in Python (pandas, asyncio, REST APIs, Docker) - Experience with databases such as Postgres or TimescaleDB - Knowledge of Modbus / CAN bus integration - Understanding of battery safety basics (SoC, voltage, current limits) - Familiarity with Dashboards (Streamlit or React) - Exposure to DevOps practices (Docker, CI/CD, monitoring) - Understanding of SCADA / IEC protocols - Experience with forecasting and optimization models Additional Company Details: The work environment is fast-paced and demanding, requiring a high level of urgency. Daily progress and review meetings are standard, encouraging intense discussions and pushing each other to maintain high standards. The company believes in hiring smart individuals to contribute their ideas and insights, fostering a culture of collaboration and innovation. The team aims to challenge each other, strive for excellence, and ultimately, make a significant impact on how India manages energy. Compensation for this role will include equity ownership, providing an opportunity for you to be a part of the company's success.,

5+ years of Python Development as a Tech Lead Design reviews, architected scalable solutions, and rigorous code reviews. Experience of Pandas, RESTful APIs, FastAPI with async def functions Experience of Asyncio, Threading, Pydantic data model

Job Purpose As an AI R&D Engineer, you will collaborate with NYSEs central AI team to build and deploy cutting-edge generative AI applications. Youll lead applied research and development effortsworking with large language models (LLMs), vector databases, and agentic frameworksto enhance NYSEs internal analytics and decision systems. We encourage and expect regular use of AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration and improve team productivity. Responsibilities Design and deploy RAG pipelines using LangChain and vector databases Prototype and evaluate GenAI applications on NYSE data using commercial and open models Build microservices to serve LLMs via APIs; optimize for performance and cost Use AI assistants for code generation, testing, and documentationrefining outputs through expert review Track experiments via MLflow and deploy using CI/CD, Docker, and Kubernetes Define metrics for generative AI performance (e.g. latency, accuracy, user satisfaction) Share findings and lead technical discussions with NYC stakeholders Knowledge and Experience 5+ years in software development, 2+ with GenAI or NLP Proficiency in Python (FastAPI, asyncio); strong with Hugging Face, OpenAI APIs, LangChain Experience with vector databases (e.g. Pinecone, Weaviate) and MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively Excellent written and oral English communication Familiarity with financial-market data (e.g. order books, trading events) Preferred Knowledge and Experience M.S. or Ph.D. in ML, AI, or related field Peer-reviewed publications in related fields

Job Purpose As an AI R&D Engineer, you will collaborate with NYSEs central AI team to build and deploy cutting-edge generative AI applications. Youll lead applied research and development effortsworking with large language models (LLMs), vector databases, and agentic frameworksto enhance NYSEs internal analytics and decision systems. We encourage and expect regular use of AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration and improve team productivity. Responsibilities Design and deploy RAG pipelines using LangChain and vector databases Prototype and evaluate GenAI applications on NYSE data using commercial and open models Build microservices to serve LLMs via APIs; optimize for performance and cost Use AI assistants for code generation, testing, and documentationrefining outputs through expert review Track experiments via MLflow and deploy using CI/CD, Docker, and Kubernetes Define metrics for generative AI performance (e.g. latency, accuracy, user satisfaction) Share findings and lead technical discussions with NYC stakeholders Knowledge and Experience 10+ years in software development, 3+ with GenAI or NLP Proficiency in Python (FastAPI, asyncio); strong with Hugging Face, OpenAI APIs, LangChain Experience with vector databases (e.g. Pinecone, Weaviate) and MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively Excellent written and oral English communication Familiarity with financial-market data (e.g. order books, trading events) Desired Knowledge and Experience M.S. or Ph.D. in ML, AI, or related field Peer-reviewed publications in related fields

As a Backend Developer, you will be responsible for designing, building, and maintaining high-quality and scalable backend applications using Python. Your focus will be on ensuring robust functionality and performance in all aspects of application development. Your primary responsibilities will include designing and optimizing APIs, implementing asynchronous programming for efficient task handling, managing databases effectively, integrating cloud services for deployment and monitoring, collaborating with CI/CD pipelines for continuous deployment, and ensuring code quality through testing, debugging, and version control practices. To excel in this role, you will need to have a Bachelor's Degree in Computer Science, Software Engineering, or a related field, along with 2-4 years of experience in backend development with Python. Strong knowledge of web frameworks, databases, and API development is essential for success in this position. Proficiency in core Python concepts, object-oriented programming principles, web frameworks like FastAPI, Sanic, and Django, SQL management and optimization, AWS services, RESTful APIs, asynchronous programming, version control with Git, CI/CD pipeline setup, testing with PyTest and UnitTest, and debugging tools like pdb and Sentry are crucial skills required for this role. Additionally, staying updated on new technologies and trends in Python development, cloud computing, and backend best practices is encouraged to enhance development efficiency and stay competitive in the field. If you are passionate about backend development, have a strong foundation in Python and related technologies, and enjoy working collaboratively in a dynamic development environment, this opportunity with Twenty Point Nine Five Ventures could be the perfect fit for you.,

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.Roles & Responsibilities:- Design and scale distributed systems that handle long-running tasks across thousands of claims in parallel.- Build modular Python APIs and services that interface with external APIs, vector stores, and LLM APIs.- Use AWS services (Lambda, S3, API Gateway, CloudWatch) to build event-driven microservices.- Ensure robust error handling, retry logic, and idempotency in execution paths.- Collaborate with the orchestration lead and AI team to support prompt execution, state management, memory & checkpointing and policy-driven routing.- Build for observability:logging, tracing, and metrics collection in a serverless/cloud-native setup.Professional & Technical Skills: - 5+ years Python development experience, in backend or systems engineering roles.- Deep understanding of asyncio, async/await, event loops, and cooperative multitasking in Python.- Strong grasp of OOP principles, design patterns, and code modularity (factories, dependency injection, etc.).- Solid experience with distributed system design, including:- Task partitioning- Stateless vs stateful service patterns- Concurrency vs parallelism- Queue-based orchestration (e.g., using AWS SQS, Step Functions)- Experience with REST APIs, JSON serialization, and building fault-tolerant cloud services.- Experience with AWS Lambda, API Gateway, S3, and IAM.- Skilled in CI/CD pipelines, logging (e.g., CloudWatch), and debugging in production-like environments. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.Roles & Responsibilities:- Design and scale distributed systems that handle long-running tasks across thousands of claims in parallel.- Build modular Python APIs and services that interface with external APIs, vector stores, and LLM APIs.- Use AWS services (Lambda, S3, API Gateway, CloudWatch) to build event-driven microservices.- Ensure robust error handling, retry logic, and idempotency in execution paths.- Collaborate with the orchestration lead and AI team to support prompt execution, state management, memory & checkpointing and policy-driven routing.- Build for observability:logging, tracing, and metrics collection in a serverless/cloud-native setup.Professional & Technical Skills: - 5+ years Python development experience, in backend or systems engineering roles.- Deep understanding of asyncio, async/await, event loops, and cooperative multitasking in Python.- Strong grasp of OOP principles, design patterns, and code modularity (factories, dependency injection, etc.).- Solid experience with distributed system design, including:- Task partitioning- Stateless vs stateful service patterns- Concurrency vs parallelism- Queue-based orchestration (e.g., using AWS SQS, Step Functions)- Experience with REST APIs, JSON serialization, and building fault-tolerant cloud services.- Experience with AWS Lambda, API Gateway, S3, and IAM.- Skilled in CI/CD pipelines, logging (e.g., CloudWatch), and debugging in production-like environments. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

As a Senior Fullstack Developer at our organization, you will play a key role in developing and scaling a mission-critical business application. Your main responsibilities will include designing and implementing scalable backend services using Python, developing responsive front-end applications with React, managing PostgreSQL databases, and occasionally contributing to Java-based components. You will be expected to translate business requirements into well-architected technical solutions, actively participate in system architecture decisions, and ensure application performance, security, scalability, and reliability. This role will require you to work in a fast-paced startup environment, where you will have the opportunity to influence long-term technology strategies. To be successful in this role, you should have at least 5 years of professional software development experience with a strong focus on Python. Proficiency in Python web frameworks such as Asyncio, FastAPI, Django, or Flask is essential. You should also have extensive experience with building and consuming REST APIs and microservices, as well as solid expertise in React and modern TypeScript. Experience with PostgreSQL, including advanced SQL queries, database tuning, and migrations, is required. Familiarity with Java and the ability to occasionally contribute to Java-based services is also important. Hands-on experience with Docker, CI/CD pipelines, and Git workflows is preferred, along with exceptional problem-solving abilities and independent working skills. Additionally, knowledge of cloud platforms like AWS, Azure, or GCP, container orchestration technologies such as Kubernetes, and prior experience in developing enterprise business applications would be advantageous. A background in enterprise security practices and compliance requirements is also a plus. Joining our team will offer you a collaborative and supportive engineering culture, flexible hybrid/remote working opportunities, a competitive salary, comprehensive benefits, and the chance to work with modern technologies while influencing technology decisions.,

About the Role EXL is looking for a hands-on developer with strong expertise in FastAPI and Python to work on our platform to design and build commercial solutions for our clients. This role is ideal for someone who enjoys writing clean, efficient code, building robust APIs from scratch, and working closely with product and DevOps teams to ship scalable applications. You will be working with a truly global team of software, data & AI, analytics and digital solution partners, across a broad set of technologies, to deliver prescriptive solutions that customers can adopt. As the right candidate, you are comfortable working with our business partners to create robust hosting environments for both existing application migrations and new solutions for external clients. You will have the opportunity to work across a wide array of industries such as Healthcare, Insurance, Analytics, Banking and several others to help create industry leading managed service offerings. Experience working with business application teams and executive leadership is a must, as this will be a highly visible role representing the Global Technology team. Strong collaboration, communication and partnership skills are a must. Design, develop, and maintain RESTful APIs using FastAPI Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions Write clean, modular, and well-tested Python code Integrate with databases, third-party APIs Develop, deploy, and maintain Python applications in Kubernetes-based environments, with a focus on scalability, observability, and cloud-native best practices (e.g., using EKS or equivalent) Optimize API performance and ensure scalability, security, and reliability Participate in code reviews, architecture discussions, and agile ceremonies Manage a self-service Platform as a Service (PAAS) Administration of the following tools: DevOps: Jenkins GitHub Enterprise JFrog Terraform Security: Fortify Prisma Cloud Micro Focus SonarQube Customer interfacing with DevOps Engineers Standardize the approach to cloud Hit the ground running in building non functional requirements Experience in building templated CI/CD pipelines in Jenkins Experience in IaC tools like Terraform and CloudFormation Implement backups best practices Implement Observability/Monitoring best practices Implement security best practices in the following areas: Encryption Secrets management Networking Languages: Terraform, Python, Groovy, Linux shell scripting Candidate Profile: Strong experience with Python and FastAPI (this is a must) Hands-on experience with container orchestration using Kubernetes, preferably on managed platforms such as Amazon EKS, GKE, or AKS Experience using Helm for packaging, deploying, and managing Kubernetes applications Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline or equivalent experience AWS Cloud Architecture, Engineering and/or Security certifications Have 1 or more certifications in the following: AWS, Azure, Certified Kubernetes Administrator (CKA), Jenkins, GitHub Administration, Terraform, Python, Docker, Vault, JFrog Direct experience migrating, refactoring and re-engineering complex enterprise applications from legacy platforms to public cloud Minimum of 5 years of hands-on solution architecture and design experience Proven track record building and deploying production-grade APIs Familiarity with async programming in Python (e.g., asyncio, httpx) Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB) Proficient with version control systems like Git Solid understanding of REST principles, API authentication (OAuth2, JWT), and API documentation (e.g., OpenAPI/Swagger) Experience with Docker and cloud platforms (AWS, GCP, or Azure) Background in DevOps, CI/CD pipelines, or infrastructure-as-code Familiarity with ORMs like SQLAlchemy or Tortoise ORM Experience with testing frameworks (e.g., Pytest)

- Experience with Python, with a focus on versions 3.10 and above - Strong in frameworks like FastAPI or Django - Understanding of SQL database, particularly with PostgreSQL - Good in automation tools including pytest, GitHub and Docker Required Candidate profile - Experience with NoSQL database particularly with Redis - Experience with asynchronous programming (asyncio) - Ability to clearly articulate technology choices ( Tornado vs.Flask)

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 New Relic is a leader in Observability industry and has been on the forefront of developing cutting edge AI/ML solutions. We are seeking an experienced and dynamic Backend Engineer (Python) to join our AI/ML team. You will develop scalable web services and APIs using Python and its extended ecosystem for our Agentic AI Platform which will be the nucleus of AI workflows at New Relic. Your responsibilities will include ideating, implementing and owning the low level design of the service, monitoring the service in production environment and innovating and optimizing the functioning of service from time-to-time. Any experience with ML techniques can come in handy for the role but is not a pre-requisite. These are exciting times for New Relic to make a significant impact on AI led Observability and even more exciting for engineers in AI team to contribute to that journey. What will you do Engineer well-designed, scalable, and resilient microservices in modern technologies. Deliver high-quality, performant software with an emphasis on scalability and reliability. 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 5+ years of experience as a Python Backend Engineer, developing production grade applications. Proficiency in back-end frameworks such as Django, Flask, or FastAPI. Expertise in Pydantic for data validation, type checking and construct robust models ensuring data integrity Strong knowledge of Python&aposs asyncio library and hands-on experience with asynchronous request handling. Familiarity with async libraries such as aiohttp or httpx. Competency in using Python threading and multiprocessing modules for parallel task execution. Knowledge of Coroutines. Understand the Global Interpreter Lock (GIL) and its implications on concurrency. Proficient in creating and consuming decorators for code reuse and abstraction. Skilled in designing and utilizing iterators and generators to manage data streams efficiently. Experience with testing frameworks like PyTest or Unit test to ensure code quality and reliability. Strong debugging skills in distributed systems. Proficient in using Git for version control and experience with CI/CD pipelines using tools like Jenkins or GitLab CI. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong knowledge of fundamental data structures such as lists, sets, dictionaries, and trees. Ability to implement and optimize algorithms for problem-solving and performance tuning. Bonus points Masters in Computer Science discipline Any exposure to Machine Learning and GenAI technologies Familiarity with message broker systems (e.g., Kafka, RabbitMQ) Familiarity with Postgres or similar RDBMS Experience with ML workflow management, like AirFlow, Sagemaker, etc. Experience with ORM libraries like SQLAlchemy and data serialization libraries like Marshmallow 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

About Invezza Technologies Invezza is a technology consulting and outsourced product development company. We believe in growing together and creating long-term relationships with the common purpose of delivering innovative solutions and cutting-edge digital experiences. We are technically creative, innovators with a deep passion for technology. Work location - Baner, Pune Agentic AI Developer Job Description: Looking for an Agentic AI Developer experienced in building intelligent, LLM-integrated agents using LangChain, Python, and vector databases. The ideal candidate will have experience building end-to-end workflows for agents that can manage tasks like file handling, ticket creation, and information retrieval all while maintaining context and memory across sessions. Key Responsibilities Design and deliver complete generative AI solutions, taking ownership of the entire development lifecyclefrom model conceptualization to deploymentensuring high-quality, timely project delivery. Drive LLM and LangChain adoption across business functions, spearheading the seamless integration of large language models and LangChain into existing workflows to unlock business value. Apply strong proficiency in Python and related tools to clean, structure, and transform data for AI-driven applications. Collaborate with stakeholders to interpret business challenges and architect generative AI solutions aligned with organizational goals. Stay up to date with the latest advancements in AI, frameworks, and software tools, integrating them into ongoing projects as needed. Required Skills Bachelor's degree in computer science, Engineering, or a related field 1+ year of hands-on experience with Generative AI, LLMs, and LangChain Proficient in building autonomous AI agents using LangChain, LlamaIndex, or Semantic Kernel Strong Python skills with experience in FastAPI/Flask, asyncio, Pandas, and NumPy Experience implementing short-term and long-term conversational memory Skilled in using vector databases like FAISS, Pinecone, Chroma, or Weaviate Capable of integrating external tools, APIs, and custom functions into LLM workflows Experience designing scalable, modular agent architectures Familiarity with workflow orchestration (LCEL, DAGs, or custom logic) Knowledge of Git, CI/CD pipelines, and containerization (Docker) Strong debugging, testing, and evaluation skills for AI agent behavior. Soft Skills: Problem-solving attitude. Good communication skills. Eagerness to learn and a team player mindset.

You should have strong experience with Python (Flask, FastAPI) for backend development, focusing on building efficient APIs (REST/GraphQL). You will be responsible for optimizing backend performance using AsyncIO, multithreading, and multiprocessing techniques. As a lead, you will oversee the technical aspects of projects, including architecture design and technology stack decisions. Additionally, you will develop modern web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). In this role, you will mentor and guide junior developers, conduct code reviews, and enforce best practices. You will work with PostgreSQL and MongoDB for database management, optimization, and design. Deployment and management of applications using AWS services such as EC2, Lambda, S3, and RDS will also be part of your responsibilities. Implementing CI/CD pipelines and automation for smooth deployment and continuous integration is a key aspect of the position. Collaboration with UX/UI designers to create intuitive and responsive user interfaces is essential. You will participate in Agile development processes, including sprint planning and retrospectives. Ensuring high application performance, scalability, and security across both frontend and backend is crucial. Implementing cloud-based solutions for high availability and disaster recovery will also be part of your role. Key Skills: - Proficient in Python, Node.js, React.js, Express.js, Flask, and Django. - Experience with PostgreSQL, MongoDB, and database optimization. - Expertise in AsyncIO, multithreading, and multiprocessing for concurrency. - Familiarity with AWS services (EC2, Lambda, S3, RDS). - Experience in Git, CI/CD tools, and version control systems. - Ability to lead teams, mentor junior developers, and make technical decisions. - Strong problem-solving and debugging skills. Please note that this job description is based on the provided details and aims to give you an overview of the key responsibilities and requirements for the position.,

As a Lead Backend Engineer (Python) at New Relic, you will play a crucial role in developing scalable web services and APIs using Python for our Agentic Platform, which is the core of AI-driven workflows at our organization. You will be responsible for driving the design, development, and enhancement of core features and functionalities of our AI platform with a micro-services architecture, ensuring the delivery of scalable, secure, and reliable solutions. Your primary responsibilities will include identifying and addressing performance bottlenecks, applying optimizations, and maintaining the stability and availability of our platform. You will be expected to collaborate effectively with your team, external contributors, and others to solve problems and contribute to process improvement initiatives. To excel in this role, you should hold a Bachelor's degree in Computer Science or a related field and possess at least 6 years of experience as a Software Engineer working with Python to develop production-grade applications. You should have a strong background in designing, developing, and maintaining large-scale cloud platforms, with expertise in 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, and Pytest for testing is essential for this role. Additionally, you should have competency in using Python threading and multiprocessing modules for parallel task execution, along with knowledge of Coroutines and an understanding of the Global Interpreter Lock (GIL) and its implications on concurrency. Experience in building secure infrastructure, working with both Relational and NoSQL databases, and utilizing message queueing systems like SQS, Kafka, or RabbitMQ is required. You should also be up to date with cloud technologies such as AWS, Azure, GCP, Serverless, Docker, Kubernetes, and CI/CD pipelines. Having a Master's degree in Computer Science, exposure to Machine Learning and GenAI technologies, experience with Authentication/Authorization services, communication protocol like gRPC, and GraphQL API working knowledge are considered as bonus points for this position. Please note that visa sponsorship is not available for this role. New Relic is committed to fostering a diverse, welcoming, and inclusive environment where every individual is encouraged to bring their authentic selves to work. We value the diverse backgrounds and experiences of our team members and aim to create a supportive and inclusive workplace for all. If you believe in our mission and values and are passionate about contributing to cutting-edge AI/ML solutions, we encourage you to apply. We are committed to empowering all team members to achieve professional success through a flexible workforce model that accommodates various work arrangements. As part of our hiring process, all candidates will be required to verify their identity and eligibility to work. A criminal background check may also be conducted in alignment with our commitment to safeguarding customer data and in compliance with applicable laws. For more information regarding our Applicant Privacy Notice, please visit https://newrelic.com/termsandconditions/applicant-privacy-policy.,

You are a skilled Python Developer with hands-on experience in FastAPI and a strong foundation in cloud computing. Proficient in MongoDB and PostgreGIS for backend development and geospatial data handling, you will collaborate with cross-functional teams to build, optimize, and deploy scalable microservices. Your key responsibilities include developing high-performance backend services and RESTful APIs using FastAPI, integrating MongoDB and PostgreGIS for scalable database solutions and geospatial data storage, processing, and querying, collaborating with frontend developers, optimizing database queries, deploying applications on cloud platforms, ensuring API security and performance optimization, debugging and resolving backend issues, and documenting development processes. Stay updated with the latest Python, FastAPI, and cloud technologies. Required skills and qualifications include proficiency in Python with FastAPI experience, strong knowledge of MongoDB and PostgreGIS, familiarity with basic cloud computing services, experience in designing RESTful APIs, hands-on experience with Docker and Kubernetes (preferred), knowledge of CI/CD pipelines and Git, and a strong understanding of database optimization techniques. Preferred qualifications include experience with cloud platforms for microservices deployment, familiarity with NoSQL and SQL databases, knowledge of geospatial data processing libraries, experience with asynchronous programming, familiarity with monitoring tools, and understanding of microservices architecture and API Gateway management. Soft skills required are strong problem-solving skills, effective communication and collaboration, ability to adapt to an agile environment, and proactive approach to technical challenges. You should have at least 5 years of professional experience in backend development with Python & FastAPI and proven expertise in handling geospatial data and developing scalable applications. Join us to work on innovative projects with cutting-edge technologies, in a collaborative and supportive work environment with a focus on growth. Enjoy flexible work hours and a culture of creativity and innovation, along with competitive compensation and career advancement opportunities. This is a full-time position located in person.,

As a Senior Full-Stack Engineer at our company, you will be responsible for designing and developing scalable software solutions utilizing MERN technologies and Python backend frameworks. Your primary focus will be on creating web applications and microservices with a strong emphasis on performance and efficiency. Your key responsibilities will include developing and maintaining web applications using the MERN stack in conjunction with Python backend microservices. You will be tasked with building robust APIs utilizing Python frameworks like FastAPI and Flask, incorporating advanced programming techniques to ensure optimal performance. In addition to your technical duties, you will play a crucial role in leading architectural decisions for both frontend and backend systems. Collaboration with UX/UI designers to ensure a seamless user experience, mentoring junior developers, and conducting code reviews will also be part of your daily tasks. Furthermore, you will be involved in database management and optimization using MongoDB and PostgreSQL, deployment and maintenance of applications on AWS cloud infrastructure, and implementation of CI/CD pipelines for automated integration and deployment processes. Your expertise with the MERN stack, Python backend development, asynchronous programming, microservices architecture, and AWS services will be essential in fulfilling the requirements of this role. Strong problem-solving skills, the ability to lead teams, and effective communication are also highly valued traits for this position. If you are passionate about creating efficient, scalable, and maintainable software solutions while working in a collaborative Agile environment, we encourage you to apply and join our team of dedicated professionals.,

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.