4097 Fastapi Jobs - Page 45

As a Software Engineer (A2), your main responsibilities will revolve around designing and developing AI-driven data ingestion frameworks and real-time processing solutions to enhance data analysis and machine learning capabilities across the full technology stack. You will be tasked with deploying, maintaining, and supporting application codes and machine learning models in production environments while ensuring seamless integration with front-end and back-end systems. Additionally, you will create and improve AI solutions that facilitate the smooth flow of data across the data ecosystem, enabling advanced analytics and insights for end users. Your role will also involve conducting business analysis to gather requirements and develop ETL processes, scripts, and machine learning pipelines that meet technical specifications and business needs using both server-side and client-side technologies. You will be responsible for developing real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Python, and cloud platforms to support AI applications. Utilizing multiple programming languages and tools like Python, Spark, Hive, Presto, Java, and JavaScript frameworks, you will build prototypes for AI models and assess their effectiveness and feasibility. It will be essential to develop application systems adhering to standard software development methodologies to deliver high-performance AI solutions across the full stack. Collaborating with other engineers, you will provide system support to resolve issues and enhance system performance for both front-end and back-end components. Furthermore, you will operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring alignment with organizational needs and user interfaces. Compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects will be a crucial aspect of your role. You will need to understand and follow the company's software development lifecycle effectively to develop, deploy, and deliver AI solutions. In terms of technical skills, you are expected to have a strong proficiency in Python, Java, C++, and familiarity with machine learning frameworks like TensorFlow and PyTorch. A deep understanding of ML, Deep Learning, and NLP algorithms is also required. Proficiency in building backend services using frameworks like FastAPI, Flask, and Django, as well as full-stack development skills with JavaScript frameworks such as React and Angular, will be essential for integrating user interfaces with AI models and data solutions. Preferred technical skills include expertise in big data processing technologies like Azure Databricks and Apache Spark to handle, analyze, and process large datasets for machine learning and AI applications. Additionally, certifications such as Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer are considered advantageous. To excel in this role, you should possess strong oral and written communication skills to effectively communicate technical and non-technical concepts to peers and stakeholders. Being open to collaborative learning, able to manage project components beyond individual tasks, and having a good understanding of business objectives driving data needs will be key behavioral attributes for success. This role is suitable for individuals holding a Bachelors or Masters degree in Computer Science with 2 to 4 years of software engineering experience.,

As a Founding Software Engineer at our B2B SaaS startup focused on the agriculture sector, you will play a pivotal role in developing a cutting-edge productivity platform tailored for plantation agriculture, with an initial focus on the tea industry. By combining human-entered and IoT-derived data, along with global market intelligence and domain-specific research, our software aims to revolutionize the way data is utilized in this legacy industry. In this role, you will collaborate closely with the founder, who brings a wealth of experience in business and technology, to lead the development of our Minimum Viable Product (MVP). Your responsibilities will include architecting and building a cloud-based full-stack web application from scratch, setting up version control and deployment pipelines, writing clean and modular code, implementing form validations and unit testing, as well as ensuring secure data flow and user authentication. To succeed in this position, you should possess at least 6 years of hands-on software development experience, a Bachelor's degree in Computer Science or a related field, and proficiency in full-stack development. You should also demonstrate strong fundamentals in clean code practices, modular architecture, and basic testing. Experience with Git, version control workflows, and cloud deployment is essential, along with excellent communication skills and an ownership mindset. While experience in agri-tech, geospatial data, or IoT integrations is considered a plus, it is not mandatory. The ideal candidate will have a passion for building impactful products, a willingness to take ownership of architecture and quality, and a desire to grow into a tech leadership role within the organization. Joining our team offers you the opportunity to work on a meaningful problem with real-world impact, be part of the founding team shaping the product and culture, benefit from flexible remote work options, and work with a deeply committed founder and a team passionate about leveraging technology to drive innovation in the agriculture sector. To apply for this role, please email your resume, GitHub/portfolio, and a brief statement outlining your interest in the position to kkanoria@bengaltea.com. Feel free to include details about your preferred tech stack, any past projects you are proud of, as well as any questions or ideas you may have about our venture.,

YASH Technologies is looking to hire AI/ML Professionals, specifically for the role of Data Scientist with 24 years of experience on a full-time basis. As a Data Scientist at YASH, you will be part of a dynamic team, leveraging your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. Your responsibilities will include building and deploying ML models for classification, regression, and clustering tasks, applying foundational GenAI concepts, utilizing APIs and tools like LangChain and vector databases, as well as preparing documentation and interpreting results. The ideal candidate should possess strong hands-on experience in Python, Scikit-learn, and Pandas, along with knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain, vector databases, and basic knowledge of FastAPI or Flask will be beneficial for this role. At YASH Technologies, you will have the opportunity to create a career path that aligns with your aspirations while working in an inclusive team environment. The company focuses on continuous learning, unlearning, and relearning through career-oriented skilling models and technology-driven solutions. The workplace at YASH is grounded on principles of flexible work arrangements, emotional positivity, trust, transparency, open collaboration, support for business goals, stable employment, and an ethical corporate culture.,

You are urgently hiring a Backend Developer with expertise in Python, FastAPI, and MongoDB to join the technology team based in Kochi. As a Backend Developer, you will play a crucial role in constructing and upkeeping backend systems for a prominent digital platform in the fintech/investment sector. Your responsibilities will include developing and managing robust backend applications using Python and FastAPI, designing and overseeing MongoDB databases with efficient data structures, creating secure and scalable APIs for mobile and web platforms, collaborating with other teams for seamless integration, implementing authentication systems and business logic, ensuring backend services meet security and performance standards, and writing clean, well-documented, and testable code. The ideal candidate should possess at least 1 year of experience in backend development with Python, strong expertise in FastAPI, proficiency in MongoDB, good understanding of RESTful APIs and asynchronous programming in Python, experience with version control systems like Git, and strong analytical and debugging skills. Exposure to fintech, digital wallet, or investment platforms, knowledge of security practices in financial applications, familiarity with Docker, CI/CD pipelines, or cloud environments like AWS or GCP, and experience working in Agile teams are considered advantageous. In return, we offer a competitive salary with performance-based growth, the opportunity to work on impactful fintech solutions, a collaborative team environment with flexible work arrangements, and the potential for rapid career advancement and skill development. This is a full-time, permanent position based in Kochi with in-person work requirements.,

The role of Software Engineer II based in Bangalore with a 57 years of experience and immediate joiners notice period involves working in a fast-growing engineering team to develop scalable, secure, and cloud-native backend systems. As a Software Engineer II, you will be responsible for designing and developing backend services using Python (Flask/FastAPI), building scalable systems with robust algorithms and data structures, participating in architecture and design discussions, reviewing code for quality, performance, and security, troubleshooting and resolving complex system issues, working with SQL and NoSQL databases (MySQL, MongoDB), creating cloud-native apps on Microsoft Azure, utilizing Docker and Kubernetes for containerization and orchestration, documenting systems and sharing knowledge internally, and optionally integrating Generative AI models and pipelines while advocating for best practices in DevOps, testing, and system design. The key responsibilities of this position include developing backend services using Python (Flask/FastAPI), designing scalable systems with strong algorithms and data structures, participating in architecture and design discussions, reviewing code for quality, performance, and security, troubleshooting and fixing complex system issues, working with SQL and NoSQL databases (MySQL, MongoDB), building cloud-native apps using Microsoft Azure, using Docker and Kubernetes for containerization and orchestration, documenting systems and sharing knowledge internally, and optionally integrating Generative AI models and pipelines while promoting best practices in DevOps, testing, and system design. The required skills for this role encompass strong Python proficiency with Flask or FastAPI, a solid understanding of data structures, algorithms, and Object-Oriented Programming (OOP), experience with distributed systems and REST APIs, knowledge of MySQL and MongoDB, hands-on experience with Azure cloud services, proficiency in Docker and Kubernetes, good debugging and performance tuning abilities, familiarity with microservices and system architecture, and strong communication and collaboration skills. Preferred skills for this position include experience with GenAI integration, familiarity with CI/CD and Infrastructure-as-Code (Terraform, Azure DevOps), knowledge of observability tools (Prometheus, Grafana, ELK), and a background in SaaS or high-scale backend systems. Mandatory technical skills required for this role include proficiency in Python programming language, experience with Flask or FastAPI frameworks, understanding of core concepts such as Data Structures, Algorithms, and Object-Oriented Programming (OOP), expertise in System Design including Distributed Systems and RESTful APIs, familiarity with Relational databases like MySQL or SQL Server and NoSQL databases like MongoDB, knowledge of Microsoft Azure cloud platform (Compute, Storage, Networking, Monitoring), hands-on experience with Docker and Kubernetes for containerization and orchestration, strong debugging and performance tuning skills, and comprehension of Microservices-based architecture. Join us in this exciting opportunity to contribute to building cutting-edge backend systems and leveraging innovative technologies in a collaborative and dynamic environment. Regards, Daina Infosys BPM Recruitment team,

As a Backend Developer, you will be responsible for developing and maintaining backend APIs and services using FastAPI and Flask-RESTX. You will design scalable, modular, and maintainable microservices-based solutions. Your role will involve working with PostgreSQL and MongoDB to create robust data models and efficient queries. Additionally, you will implement messaging and task workflows utilizing RabbitMQ and integrate secure authentication and authorization flows with Auth0. In this position, you will be required to monitor and debug production systems using Elasticsearch and APM tools. Writing clean, testable code and actively participating in design and code reviews will also be part of your responsibilities. Collaboration with cross-functional teams across engineering, DevOps, and product departments is crucial for the success of the projects. The ideal candidate must possess strong hands-on experience in Python backend development and practical knowledge of FastAPI, Flask, or Flask-RESTX. A solid understanding and real-world experience with microservices architecture are essential. Proficiency in either MongoDB or PostgreSQL, along with experience in RabbitMQ for async messaging and job queues, is required. Familiarity with API security and integration using Auth0 or similar services is also a must. Moreover, the candidate should have an understanding of observability practices utilizing Elasticsearch and APM tools. Strong debugging, performance tuning, and optimization skills are highly valued for this role. Experience with SQLAlchemy and Alembic for ORM and migrations, exposure to PostgREST or GraphQL APIs, and knowledge of containerized development with Docker are considered nice-to-have skills. Familiarity with CI/CD workflows, Git-based version control, and prior experience in event-driven, large-scale data processing systems would be advantageous.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

Job Description About the Role You’ll be a key contributor on our AI Engineering team, building and maintaining the production-grade microservices and APIs that power our GenAI products—chatbots, document pipelines, retrieval endpoints, and embedding search. Your primary focus will be delivering clean, well-tested code; robust API designs; and reliable CI/CD processes. Core Responsibilities API & Service Development Design and implement RESTful (and optionally gRPC) Python services using FastAPI, Flask, or Django Define clear API contracts (e.g. OpenAPI/Swagger) and maintain semantic versioning Production-Grade Code Quality Apply SOLID principles and clean-code practices to keep services modular and maintainable Perform regular refactoring to reduce technical debt and adhere to style guides (flake8, black) Drive thorough code reviews, enforcing best practices and design consistency Testing & Validation Adopt test-driven development: write and maintain unit, integration, and end-to-end tests with pytest Mock external dependencies (LLM clients, vector stores) to validate error handling and edge cases Ensure high test coverage and set up automated quality gates in CI pipelines CI/CD & Deployment Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, or GitLab CI) that run tests, linting, security scans, and deployments Containerize services with Docker and deploy to Kubernetes (or serverless) environments Automate release/versioning workflows and rollback strategies for low-risk releases Collaboration & Documentation Partner with MLOps, Data Science, and UX/UI teams to integrate new model capabilities Maintain up-to-date design docs, API specs, and “getting started” guides for engineering peers Contribute to sprint planning, design reviews, and process improvements Required Qualifications Experience: 3–5 years building production Python services Frameworks: FastAPI, Flask, or Django for API development Asynchronous frameworks (AsyncIO, aiohttp) for high-concurrency endpoints APIs & Protocols: Strong REST experience; basic gRPC or streaming is a plus Testing: Proven TDD with pytest (unit/integration tests and mocks) CI/CD: Hands-on with GitHub Actions, Jenkins, GitLab CI, or equivalent Containers & Orchestration: Proficiency with Docker; experience deploying to Kubernetes or serverless Nice-to-Have & Growth Areas Familiarity with vector stores (Faiss, Pinecone, Weaviate) and embedding search integration Experience with WebSockets or SSE for real-time chat Exposure to message brokers (Kafka, RabbitMQ) for event-driven architectures Knowledge of feature-flagging, A/B testing, or experimentation platforms Experience in other languages like Java, C++ Soft Skills Problem Solver: Diagnoses and debugs complex issues across code, infra, and external services Communicator: Explains design trade-offs clearly to both technical and non-technical audiences Collaborator: Works effectively in cross-functional teams and helps peers level up Learner: Quickly adopts new tools and practices in the fast-moving GenAI landscape Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

The responsibilities of this position include writing extensive, efficient code to address complex modules and handle interaction between multiple components. You will be expected to rapidly iterate to add new functionalities and solve complex problems with simple and intuitive solutions. Producing architecture with clean interfaces that are efficient and scalable is a key aspect of this role. Additionally, you will participate and contribute to architectural discussions, perform design and code reviews, and conduct technical feasibility and trade-off studies. You will also be responsible for guiding others in performing these studies and solving production issues to minimize business impact due to outages. Continuous improvement of performance metrics of modules you own is essential, as well as participating in the hiring process, onboarding and mentoring new team members, and collaborating effectively across teams to solve problems, execute, and deliver results. The requirements for this position are a BS/BE/Tech in Computer Science or related streams, along with 4+ years of professional experience in software development. Strong proficiency in Flask or FastAPI in the backend and React.js on the frontend is necessary. Experience in product-based companies or startups is preferred, as well as experience with database design, modeling, and implementation (e.g., PostgreSQL, MySQL, MongoDB). Proficiency in writing efficient and scalable code, familiarity with Git, AWS, and Agile methodologies, excellent problem-solving and communication skills, and the ability to work in a fast-paced environment while prioritizing multiple tasks are also required. Exposure to Spark and/or the Big Data ecosystem is considered a significant advantage.,

As a Data Engineer at our company, you will be an integral part of a skilled Data Engineering team focused on developing reusable capabilities and tools to automate various data processing pipelines. Your responsibilities will include contributing to data acquisition, ingestion, processing, monitoring pipelines, and validating data. Your role is pivotal in maintaining the smooth operation of data ingestion and processing pipelines, ensuring that data in the data lake is up-to-date, valid, and usable at all times. With a minimum of 3 years of experience in data engineering, you should be proficient in Python programming and have a strong background in working with both RDBMS and NoSQL systems. Experience in the AWS ecosystem, including components like Airflow, EMR, Redshift, S3, Athena, and PySpark, is essential. Additionally, you should have expertise in developing REST APIs using Python frameworks such as flask and fastapi. Familiarity with crawling libraries like BeautifulSoup in Python would be advantageous. Your skill in writing complex SQL queries to retrieve key metrics and working with various data lake storage formats will be key to your success in this role. Key Responsibilities: - Design and implement scalable data pipelines capable of handling large data volumes. - Develop ETL/ELT pipelines to extract data from upstream sources and synchronize it with data lakes in formats like parquet, iceberg, and delta. - Optimize and maintain data pipelines to ensure smooth operation and business continuity. - Collaborate with cross-functional teams to source data for various business use cases. - Stay informed about emerging data technologies and trends to enhance our data infrastructure and architecture continuously. - Adhere to best practices in data querying and manipulation to uphold data integrity. If you are a motivated Data Engineer with a passion for building robust data pipelines and ensuring data quality, we invite you to join our dynamic team and contribute to the success of our data engineering initiatives.,

You are an experienced Backend Developer with proficiency in React and Python FastAPI. Your role involves designing, developing, and maintaining scalable backend services using Python, FastAPI, and cloud platforms like Azure/GCP/AWS. Collaborating with cross-functional teams to deliver high-quality software solutions is essential. Managing and mentoring the team for smooth project execution is also part of your responsibilities. Your key responsibilities include developing and integrating React-based frontend applications, ensuring security, performance, and scalability of backend and frontend applications, debugging and troubleshooting existing applications, as well as participating in code reviews and contributing to best practices. You are expected to have a strong background in backend development, API design, and cloud-based architecture. Team management experience will be advantageous. Required skills for this role include expertise in Python and FastAPI, proficiency in RESTful API development and asynchronous processing, exposure to containerization (Docker and Kubernetes), knowledge of cloud platforms (AWS/GCP/Azure), experience with databases like PostgreSQL, MongoDB, or MySQL, strong problem-solving and analytical skills, and excellent communication and collaboration skills. Nice-to-have skills include experience in leading/managing a development team, exposure in React.js, additional experience with Generative AI (GenAI), and familiarity with CI/CD pipelines, version control (Git), and DevOps practices. As an Experienced Backend Developer at Tredence, you will be part of a dynamic team dedicated to transforming data into actionable insights for Fortune 500 clients. Tredence is a global analytics partner headquartered in San Jose with a presence in 5 countries. The company blends deep domain expertise with advanced AI and data science to drive unparalleled business value. Join Tredence on this innovative journey and be a part of shaping the future of analytics.,

As a Full Stack-Backend Engineer at an AI startup based in Abu Dhabi, you will be an integral part of a fast-scaling company with a strong revenue stream, developer traction, and global growth. Your primary responsibility will be to contribute to the development of the next-generation agent by building scalable APIs and services for agent-based applications. You will have the opportunity to lead engineering efforts in the region from Day One. Your key responsibilities will include developing RAG pipelines using LangChain or custom tools, working with distributed systems and databases, and optionally contributing to UI development with React. You will be expected to own features end-to-end and collaborate effectively with global teams. To excel in this role, you should possess strong Python skills or a similar backend language, with an experience range of 6-8 years. Experience with distributed systems, APIs, and databases is essential, along with familiarity with LLMs, RAG, and agent frameworks. Frontend experience with React is a bonus, but not mandatory. An independent and ownership-driven mindset will be crucial for success in this position. The tech environment you will be working in includes Backend technologies such as Python and FastAPI, infrastructure tools like AWS, Docker, and Kubernetes, and AI Stack components like LangChain, Pinecone/Weaviate, OpenAI, and Anthropic. DevOps practices involve GitHub Actions and CI/CD pipelines, with a focus on developer tools, AI agents, and real-time search APIs. Joining this role will allow you to work with a well-funded startup that is making a real-world impact with over $3M+ ARR, 200K+ users, and 5M+ downloads. You will have the opportunity to build solutions across AI, search, and distributed infrastructure, lead development strategies within a global team, and be part of the thriving tech and innovation ecosystem in Abu Dhabi.,

You are a dynamic and hands-on Full Stack AI Developer with expertise in Python programming, Generative AI, LLMs, API development, and front-end frameworks like React and Streamlit. Your responsibility includes designing, developing, and maintaining AI-powered full stack applications, building and optimizing REST APIs, creating backend services, implementing Generative AI features, developing front-ends, integrating retrieval-augmented generation (RAG) and agentic AI concepts, applying best practices in software engineering, and working with cloud platforms. You must have proficiency in Core Python Development, scientific & data libraries like NumPy and Pandas, database integration, API development, Generative AI/LLMs, deployment & containerization using Docker, frontend development with HTML5, CSS3, modern JavaScript, Streamlit, and React.js. Desirable skills include experience with cloud services, monitoring and logging for AI systems, testing frameworks, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Your soft skills should include strong communication and documentation skills, problem-solving mindset, and the ability to collaborate across cross-functional teams. An educational qualification of Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field is required, and certifications or hands-on experience in Generative AI/LLMs are a plus. This role is ideal for candidates passionate about developing end-to-end AI applications from data ingestion and model integration to real-time deployment and UI/UX delivery. You will work on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup.,

As a Senior AI Engineer specialized in Voice AI and Autonomous Agents at Spyne, you will be responsible for owning and building Spynes in-house voice bot stack. This pivotal role involves leveraging your expertise in LLMs, ASR/TTS, and voice UX to develop immersive, human-like conversations between auto dealerships and their customers. Located in Gurugram, you will work from the office five days a week to drive the development of cutting-edge AI solutions in the automotive retail sector. Your primary responsibilities will include: - Voice AI Stack Ownership: Developing and managing the complete voice bot pipeline encompassing ASR, NLU, dialog state management, tool calling, and TTS to deliver a seamless conversation experience. - LLM Orchestration & Tooling: Designing systems utilizing MCP to facilitate structured context exchange between real-time ASR, memory, APIs, and the LLM. - RAG Integration: Implementing retrieval-augmented generation to support responses based on dealership knowledge bases, inventory data, recall lookups, and FAQs. - Vector Store & Memory: Creating scalable vector-based search functionalities for dynamic FAQ handling, call recall, and user-specific memory embedding. - Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and optimizing turn-taking models for natural conversations. - Model Tuning & Hallucination Control: Customizing tone, reducing hallucinations, and aligning responses with business objectives via fine-tuning, LoRA, or instruction tuning. - Instrumentation & QA Looping: Establishing robust observability, conducting real-time call QA processes, and analyzing interruptions, hallucinations, and fallbacks. - Cross-functional Collaboration: Collaborating closely with product, infra, and leadership teams to scale the voice bot solution to numerous US dealerships effectively. To excel in this role, you should possess: - Architectural Thinking: Ability to comprehend the integration of ASR, LLMs, memory, and tools and design modular, observable, and resilient systems. - LLM Tooling Mastery: Proficiency in implementing tool calling, retrieval pipelines, function calls, or prompt chaining across various workflows. - Fluency in Vector Search & RAG: Expertise in chunking, embedding, indexing, and retrieval processes while avoiding prompt bloat and token overflow. - Latency-First Mindset: Capability to identify and rectify token delays, optimize API round-trip time, and ensure human-like call interactions. - Grounding > Hallucination: Skill in tracing hallucinations to weak prompts, lack of guardrails, or tool access deficiencies and addressing them effectively. - Prototyping Skills: Comfort with building from scratch and rapid iteration using open-source or hosted tools as required. Requirements for this role include: - 5+ years of experience in AI/ML or voice/NLP systems with real-time exposure. - Profound knowledge of LLM orchestration, RAG, vector search, and prompt engineering. - Experience with MCP-style architectures and structured context pipelines between LLMs and APIs/tools. - Familiarity with integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. - Strong understanding of latency optimization, streaming inference, and real-time audio pipelines. - Proficiency in Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infrastructures (AWS/GCP). - Solid debugging, logging, and QA capabilities for hallucination, grounding, and UX analysis. Join Spyne for a real-world AI impact, a superior team balancing speed with technical depth, high autonomy, and visibility from day one, accelerated career growth, MacBook along with essential tools, and a flat structure focused on meaningful work without unnecessary bureaucracy.,

As a Senior/Lead Full Stack Engineer at RSB Healthcare Consulting, you will have the opportunity to lead the development of a next-generation healthcare platform focusing on agentic features, server-less architectures, and scalable systems. RSB Healthcare Consulting is a fast-growing healthcare solutions provider that is revolutionizing the revenue cycle management (RCM) space through automation, analytics, and AI-powered platforms. Your role will involve designing, developing, and deploying full-stack applications using modern web technologies such as React, Next.js, and Python (Fast-API preferred). You will be responsible for both frontend and backend development, including infrastructure setup and CI/CD implementation. Collaboration with cross-functional teams is crucial, and you will play a key role in showcasing the technology during client demos, internal reviews, and industry events. Key Responsibilities: - Architect, develop, and deploy applications using React, Next.js, and Python - Build robust, scalable services using AWS Lambda, API Gateway, RDS, S3, and SQS - Develop responsive and user-friendly interfaces optimized for performance and accessibility - Maintain clean, modular, and well-documented code on GitHub with proper version control - Implement and manage CI/CD pipelines for automated testing and deployment - Collaborate with designers, product managers, and developers across functions and geographies - Support and guide junior engineers, contributing to technical excellence - Participate in product demos, stakeholder meetings, and conferences as a technical lead Required Qualifications: - Minimum 5 years of experience in full stack development, preferably in high-impact or product leadership roles - Expertise in React, Next.js, JavaScript/TypeScript, HTML5, and CSS3 - Strong proficiency in Python, Fast-API, designing REST APIs, and asynchronous workflows - Hands-on experience with AWS services such as Lambda, API Gateway, S3, RDS, and SQS - Experience with CI/CD pipelines, GitHub Actions, and deployment workflows - Excellent command over Git and GitHub collaboration - Strong verbal and written communication skills for client-facing interactions and presentations Preferred Qualifications: - Familiarity with Docker, AWS ECS, and building agentic or AI-driven workflows - Experience in the healthcare industry or Health-Tech product development What We Offer: - Competitive Salary - Professional growth opportunities with mentorship and learning programs - Leadership role in cutting-edge healthcare innovation - Collaborative and inclusive work environment encouraging creativity and ownership,

Job Title: Forward Deployed Engineer Location: [Remote – India] Employment Type: Full-time About Futurepath AI We’re a fast-growing AI + IT startup solving complex enterprise challenges for Fortune 1000 clients. Our platform combines advanced technology with seamless deployment to transform how businesses operate, scale, and respond. As we continue to grow, we’re looking for a Forward Deployment Engineer who thrives at the intersection of hands-on execution and strategic delivery to bring our product to life across dynamic enterprise environments. What You'll Do: - Lead end-to-end technical delivery and deployment of our solution for enterprise customers Collaborate with cross-functional teams—Product, Engineering, Customer Success—to drive successful implementations Engage directly with client IT teams to understand infrastructure, security, and integration needs Configure and deploy software across complex environments, ensuring rollout success and optimal performance Serve as the technical point of contact during onboarding, pilots, and go-lives Troubleshoot deployment issues and contribute to continuous improvement of processes and documentation Support post-deployment monitoring, performance tuning, and ongoing optimization Share knowledge internally to help standardize best practices across deployment efforts Must Have Skills & Experience: - 5+ years of experience in technical delivery, deployment engineering, or solution implementation in complex enterprise IT environments Hands-on experience deploying SaaS, cloud, or hybrid solutions at scale Solid understanding of enterprise IT infrastructure, including networks, APIs, security protocols, and system integrations Strong Python programming skills Proficiency with FastAPI or comparable frameworks (e.g., Flask, Django REST Framework) Skilled in working with relational databases, particularly PostgreSQL Experience deploying and operating applications in Kubernetes environments Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus Ability to translate business requirements into scalable deployment workflows Strong analytical and troubleshooting skills Excellent communication and collaboration abilities, including client-facing interactions Experience working with Fortune 1000 clients is a strong advantage Other Responsibilities: - Provide technical support to enterprise accounts, resolving client issues and ensuring timely follow-through. Act as a bridge between clients and the product team, sharing structured technical feedback from real-world deployments. Participate in hands-on product testing to validate quality, performance, and enterprise readiness Why Join Us: Be part of a purpose-driven team pioneering Agentic AI —building intelligent systems that take action, adapt in real time, and solve complex enterprise challenges with real-world impact. Please send your resume and a portfolio of relevant work to aditi@futurepath.ai.

Company: Ultrasafe AI Website: Visit Website Business Type: Small/Medium Business Company Type: Product & Service Business Model: B2B Funding Stage: Seed Industry: Emerging Technologies Salary Range: ₹ 9-18 Lacs PA Job Description About UltraSafeAI UltraSafeAI is a US-based technology company at the forefront of developing secure, reliable, and explainable AI systems. We specialize in proprietary AI technologies including advanced LLMs, CNNs, VLLMs, intelligent agents, computer vision systems, and cutting-edge ML algorithms. Our focus is on B2B AI adoption, providing end-to-end integration using our proprietary technology stack to automate entire business processes. We create intelligent solutions that prioritize safety, transparency, and human alignment across various industries including healthcare, finance, legal, and enterprise services. Our mission is to enable seamless AI adoption while maintaining the highest standards of safety and ethical considerations. Position Overview We're seeking experienced Python Engineers with expertise in building modern AI systems, particularly focusing on Retrieval Augmented Generation (RAG) architectures and agentic AI frameworks. The ideal candidate will have strong experience with FastAPI, vector databases, and orchestrating complex AI agents to solve real-world problems. As a Python Engineer at UltraSafeAI, you'll work on designing and implementing scalable, secure AI systems that power our clients' critical business processes. You'll collaborate with a global team of engineers, researchers, and domain experts to create solutions that set new standards for safety and reliability in AI. Key Responsibilities Design and develop robust FastAPI applications that serve as the backbone for our AI systems Implement sophisticated RAG (Retrieval Augmented Generation) architectures utilizing vector databases, embeddings, and reranking techniques Build and orchestrate multi-agent AI systems using frameworks like LangGraph, CrewAI, or Agent Development Kit Develop intelligent knowledge retrieval systems that enhance LLM capabilities with domain-specific information Create scalable, maintainable, and well-tested code that meets our high-quality standards Contribute to architecture decisions and technology selection for new projects Collaborate with cross-functional teams to understand requirements and deliver solutions Participate in code reviews and knowledge sharing to elevate the entire engineering team Stay current with the rapidly evolving AI landscape and recommend new approaches Required Qualifications Strong expertise in FastAPI development with authentication, async processing, and API design Practical experience building RAG systems with vector databases (Pinecone, FAISS, Chroma, Qdrant, etc.) Experience with embedding models and techniques for effective information retrieval Hands-on experience with at least one agentic framework (LangGraph, CrewAI, Agent Development Kit, etc.) Solid understanding of LLMs and their integration into production systems Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a distributed team Self-motivated with the ability to work independently in a remote environment Highly Desirable Experience with specialized vector database operations and optimizations Knowledge of reranking techniques to improve retrieval quality Experience building complex multi-agent systems that coordinate specialized AI agents Background in specific domains like finance, healthcare, or legal Contributions to open-source projects Understanding of AI safety considerations and alignment techniques Experience with deployment and monitoring of AI systems in production Why Join UltraSafeAI? 100% Remote Work: Work from anywhere in the world with flexible hours Cutting-Edge Technology: Build systems using the latest advancements in AI Meaningful Impact: Create AI solutions that prioritize safety and human wellbeing Continuous Learning: Regular knowledge sharing sessions and education stipend Global Team: Collaborate with talented professionals from diverse backgrounds Work-Life Balance: Flexible PTO policy and respect for personal time Career Growth: Clear paths for advancement in a rapidly growing company Modern Tech Stack: Work with the latest tools and technologies in AI development Remote Work Environment At UltraSafeAI, We've Built a Fully Distributed Team From Day One. We Believe Talent Is Global, And We've Created Processes And Tools To Ensure Remote Work Is Efficient, Collaborative, And Enjoyable Asynchronous-first communication with minimal required meetings Collaborative documentation and knowledge management Regular virtual team-building events and optional in-person retreats Flexible working hours with core collaboration windows Application Process Initial application review Technical interviews with the engineering team Technical assessment Code review and discussion of your assessment Final interview with leadership Offer IMPORTANT NOTE REGARDING THE TECHNICAL ASSESSMENT: Our technical assessment is designed to evaluate your actual skills and problem-solving abilities. We expect candidates to complete the assessment independently without using AI tools or external help. During the interview process, you will be asked to explain your code and may be required to write similar solutions in real-time. Any discrepancies between your assessment performance and interview performance will be carefully considered in our hiring decision. Join Us in Building Safer AI If you're passionate about creating AI systems that are not only powerful but also safe, transparent, and aligned with human values, we'd love to hear from you. At UltraSafeAI, you'll help shape the future of AI technology while working with a global team of talented, mission-driven professionals.

Role : Python Developer We are seeking a Python Developer with deep expertise in Object-Oriented Programming (OOP), networking protocols, and backend development. Youll design scalable Python solutions, build CLI tools, and integrate networking functionalities while ensuring high performance and reliability. Key Responsibilities : - Develop high-performance Python applications using OOP principles (Classes, Inheritance, Polymorphism, Decorators). - Architect backend services (RESTful APIs, Web UI integrations) with frameworks like FastAPI, Flask, or Django. - Create Python CLI tools for automation (e.g., using Click, Typer, or argparse). - Implement Unit & Integration Tests (pytest, unittest) and CI/CD pipelines. - Optimize code for scalability in Open Networking environments. - Troubleshoot networking protocols (VLAN, STP/RSTP, VXLAN, Bridge, VPLS). - Collaborate with infra/network teams to automate configurations and deployments. Must-Have Skills : - 5+ years of Python development (OOP, Design Patterns, Multithreading). Hands-on experience with : - Backend frameworks (FastAPI/Flask/Django). - CLI development (e.g., network automation tools). - Testing frameworks (pytest, mocking). - Networking knowledge : VLAN, STP/RSTP, VXLAN, Bonding, VPLS. - Familiarity with Linux environments and scripting (Bash). - Strong problem-solving and debugging skills. Nice-to-Have : - Async Python (asyncio, aiohttp). - SDN/Cloud Networking (AWS/Azure/GCP networking services). - Network automation (Ansible, Netmiko, NAPALM). - Exposure to containerization (Docker, Kubernetes).

1. Backend Development Design, develop, and maintain scalable backend systems using Python (typically with Django, Flask, or FastAPI). Build APIs (RESTful or GraphQL) to support frontend and mobile applications. 2. Database Management Work with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases. Write optimized queries and manage database migrations and integrations. 3. Integration & Automation Integrate third-party APIs and internal services. Automate repetitive tasks using Python scripts (e.g., data ingestion, report generation). 4. Testing & Debugging Write unit, integration, and functional tests using frameworks like PyTest or Unittest. Debug issues across the stack and ensure clean, maintainable code. 5. Code Review & Documentation Participate in code reviews and maintain documentation for features and services. Ensure adherence to coding standards and best practices. 6. Collaboration Work closely with frontend developers, DevOps, and product teams in an Agile/Scrum environment. Participate in daily stand-ups, sprint planning, and retrospectives. 7. Deployment & DevOps (Optional but Preferred) Familiarity with Docker, CI/CD pipelines, and cloud services (AWS, GCP, or Azure). Deploy and monitor Python applications in a production environment.

About the Role We are seeking a skilled Python Support Engineer to join our dynamic team. In this role, you will provide technical support, troubleshoot issues, and ensure the smooth operation of Python-based applications and systems. You will work closely with cross-functional teams to resolve complex technical problems and deliver an exceptional customer experience. Key Responsibilities Provide technical support for Python-based applications, diagnosing and resolving issues promptly. Debug and troubleshoot code to identify root causes of issues and implement effective solutions. Collaborate with development and operations teams to address customer-reported problems and system errors. Communicate effectively with internal teams and external stakeholders, providing clear and concise updates on issue resolution. Document technical issues, solutions, and best practices to build a comprehensive knowledge base. Assist in optimizing Python scripts and applications for performance and reliability. Optionally, work with containerized environments using Docker to deploy and manage applications. Skills Required Python Expertise : Strong proficiency in Python programming, including experience with Python libraries and frameworks (e.g., FastAPI, Flask, Pandas, NumPy etc ). Debugging Skills : Proven ability to debug complex issues in Python applications, with strong problem-solving skills and attention to detail. Communication Skills : Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Git and Linux Proficiency : Strong command of Git for version control and extensive experience working in Linux environments. OpenCV and Image Processing : Basic knowledge of OpenCV and image processing techniques. Database : Knowledge of Relational databases like PSQL and able to write basic SQL queries. Hands-on expertise in REST and WebSocket 2+ years of experience in a technical support or software engineering role with a focus on Python. Brownie Points Docker Experience : Familiarity with Docker and containerized environments for application deployment and management. Knowledge of cloud platforms (e.g., AWS, Azure, or GCP). Familiarity with CI/CD pipelines and DevOps practices. What We Offer Work with a performance-oriented team driven by ownership and open to experiments with cutting-edge technologies. Learn to design systems for high accuracy, efficiency, and scalability. Learn to innovate. Meritocracy driven, candid startup culture.

Responsibilities: * Develop AI/ML models using Python, FAISS & FastAPI. * Optimize model performance through LLM techniques. * Collaborate with cross-functional teams on project delivery. Provident fund

Architect/Lead Engineer : Python with Agentic AI :- Bangalore/Remote : Experience - 8-12 years Location: Bangalore/ Remote Type: Full-time Requirement We are looking for an enthusiastic, self-motivated, hands-on senior Python backend engineer to join the back-end platform engineering team for our partner. Experience with a fast-paced India/US product start-up or a product engineering services company in a developer role, building a high-performance real-time distributed system is mandatory. Applicants having experience in developing and maintaining large scale healthcare systems/platforms are preferred. Applicants must have a passion for engineering with accuracy and efficiency, be highly motivated and organized, able to work as part of a team, and also possess the ability to work independently with minimal supervision. Who You Are: BTech/BE CS or related discipline with 8+ years of backend experience designing, building large-scale distribution systems , and maintaining enterprise web applications 8+ years of hands-on experience developing backend systems using Python , with a deep understanding of software design, performance, and maintainability Proven experience with modern Python frameworks such as FastAPI, Django, or Flask , used in production at scale Strong expertise in designing and implementing RESTful and GraphQL APIs , with a focus on scalability, versioning, and clean data modeling Solid working knowledge of PostgreSQL or other relational databases, including schema design, query optimization, and handling large datasets Exposure to or experience working with Agentic AI systems or integrating LLM-based agents into backend workflows Experience building and deploying applications on AWS , leveraging services like EC2, Lambda, RDS, S3, and CloudWatch Familiar with microservices architecture, asynchronous programming, and event-driven systems Comfortable with Docker, Kubernetes, and setting up CI/CD pipelines for smooth and reliable deployments Strong understanding of backend engineering best practices: testing, observability, security, and resilience at scale Experience working in cross-functional teams with product, frontend, and DevOps , following agile methodologies What you'll do: Design and build scalable backend systems using Python and modern frameworks like FastAPI, Django, or Flask , optimized for performance and maintainability Stay current with emerging backend technologies, and (ideally) explore how Agentic AI and LLM integrations can be leveraged in modern backend services Develop and maintain robust RESTful and GraphQL APIs that power internal systems, user-facing apps, and external integrations Architect distributed microservices capable of handling large-scale workloads, with a focus on fault tolerance, security, and observability Own data modeling and query design for PostgreSQL and other databases, ensuring data integrity and query performance Work closely with DevOps to define and implement cloud-native infrastructure on AWS , including CI/CD, monitoring, and auto-scaling Collaborate cross-functionally with product managers, frontend developers, and other engineers to define features, scope solutions, and deliver high-impact projects Implement asynchronous tasks and event-driven workflows using tools like Celery and message queues (e.g., Kafka, SQS) Contribute to technical architecture decisions and influence best practices across engineering Write clean, well-documented, and testable code, with a strong emphasis on quality and continuous improvement Additional Project/Soft Skills: Should be able to work independently with India & US based team members. Strong verbal and written communication with ability to articulate problems and solutions over phone and emails. Strong sense of urgency, with a passion for accuracy and timeliness. Ability to work calmly in high pressure situations and manage multiple projects/tasks. Ability to work independently and possess superior skills in issue

Work Time : 1:00 PM to 10:00 PM We are seeking a highly skilled and experienced Full-Stack Developer with a strong background in both front-end and back-end development. The ideal candidate will be responsible for designing, developing, and implementing end-to-end web applications. You will be working with Angular for the front-end and Python (FastAPI) for the back-end. Responsibilities : - Develop and maintain end-to-end web applications, ensuring high performance, scalability, and security. - Design, develop, and consume RESTful APIs using Python and FastAPI. - Develop user-friendly and responsive front-end applications using Angular (Angular 18+), TypeScript, HTML, and CSS. - Work with relational databases (e., PostgreSQL, MySQL) and/or NoSQL databases (e., MongoDB) to design, implement, and optimize data storage and retrieval. - Collaborate with cross-functional teams, including product managers, designers, and other developers, to define project requirements, specifications, and timelines. - Write clean, well-documented, and efficient code. - Participate in code reviews to ensure code quality and adherence to best practices. - Troubleshoot, debug, and resolve software defects and issues. - Implement unit and integration tests to ensure application stability and reliability (Pytest for Python, Jest for Angular). - Stay up-to-date with the latest web development trends, technologies, and best practices. - Contribute to the improvement of development processes and methodologies. - Work within an Agile development environment, participating in sprint planning, daily stand-ups, sprint reviews, and retrospectives. - Deploy and maintain applications on cloud platforms (Azure, AWS, GCP, or Heroku). Qualifications : - Proven professional experience (7-8 years) developing end-to-end web applications. - Strong proficiency in Python, including object-oriented programming, data structures, and design patterns. - Hands-on experience building RESTful APIs using the FastAPI framework. - Strong proficiency in Angular (Angular 18+), TypeScript, HTML, and CSS, with experience in building responsive and user-friendly designs. - Solid experience interacting with relational databases (e., PostgreSQL, MySQL) or NoSQL databases (e., MongoDB). - Familiarity with RESTful API design principles and best practices. - Proficiency with version control systems, particularly Git. - Experience with writing unit tests (e., using Pytest for Python and Jest for Angular). - Experience with Agile methodologies and development tools (e., Jira, Confluence). - Experience deploying and managing applications on any one of the cloud platforms: Azure, AWS, GCP, or Heroku. - Excellent verbal and written communication skills. - Strong problem-solving skills and attention to detail. Must-Have Skills : - Object-oriented programming with Python - Data structures and design patterns - Angular 18+ FastAPI - Git - SQL (e., PostgreSQL, MySQL) - NoSQL (e., MongoDB) - RESTful API development - Unit testing (Pytest, Jest) - Agile methodologies

Join flutrr and Shape the Future of AI-Powered Experiences! Are you passionate about building intelligent systems that connect with users on a deeper level? Do you thrive on solving complex problems at the intersection of machine learning, recommendation systems, and generative AI? flutrr is looking for a creative and driven AI/ML Engineer to join our growing team in Kolkata! In this role, you will be at the heart of our innovation, designing and building the next generation of multi-modal recommendation and personalization engines that power our platform. Your Key Responsibilities: 🧠 Design & Build: Architect and develop sophisticated multi-modal recommendation systems leveraging a rich mix of text, images, and user behavior data. 📈 Optimize & Rank: Implement and fine-tune advanced ranking models and end-to-end personalization pipelines to enhance user engagement. 🤖 Embed & Extract: Utilize state-of-the-art models (like CLIP, BERT) and services (OpenAI APIs) to extract powerful text and image embeddings. ✍️ Prompt & Perfect: Take the lead on prompt engineering to create intuitive and effective language-based AI features. 🔍 Retrieve & Rank: Construct efficient retrieval and ranking pipelines using vector databases like FAISS or Pinecone for lightning-fast similarity search. ⚙️ Develop & Deploy: Build, maintain, and deploy robust ML APIs using FastAPI or Flask to serve our models at scale. 🧩 Integrate & Innovate: Seamlessly integrate third-party AI APIs or custom-trained models to continuously push the boundaries of what's possible. What You Bring to the Table: Experience: 3-5 years of hands-on experience in an AI/ML engineering role. Python Proficiency: Strong command of Python and its core data science/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas). RecSys Expertise: Proven experience with recommendation systems, including collaborative filtering, content-based, hybrid models, and ranking algorithms. Multi-Modal ML: Skilled in combining diverse data types—structured data, text (BERT/GPT), and images (CLIP/CNNs)—to build holistic models. Vector Search: Familiarity with vector similarity search concepts and tools (FAISS, Pinecone, Milvus). LLM & Embeddings: Comfortable working with Large Language Models (LLMs), prompt engineering, and various embedding techniques. API Development: Proficient in building and deploying production-ready APIs with FastAPI or Flask. RAG Systems: A solid understanding of Retrieval-Augmented Generation (RAG) systems and frameworks like LangChain or LlamaIndex. ✨ Bonus Points For: Exposure to or a keen interest in Generative AI for text, music, or other media. Prior experience in working with a fast paced startup. Why flutrr? Be part of a dynamic and innovative team in the heart of Kolkata. Work on cutting-edge AI problems with a real-world impact. A culture of learning, collaboration, and growth. Competitive salary and employee benefits. Ready to make your mark? If you're excited by this challenge, we'd love to hear from you! Please apply directly on LinkedIn or send your resume and a brief introduction to careers@flutrr.com.

Job Title : Fullstack Developer Job Description : We are looking for a passionate and skilled Fullstack Developer to join our growing team. Youll work on building intuitive, responsive web applications and scalable backend services using modern frameworks and cloud technologies. Responsibilities : Front End : - Design and develop responsive UIs using React.js, HTML, CSS, and JavaScript - Create wireframes and mockups using tools like Figma or Canva - Implement dynamic components and visualizations using Highcharts, Material UI, and Tailwind CSS - Ensure seamless REST API integration Middleware : - Develop and maintain middleware logic using FastAPI (or similar frameworks) - Work with Python for API logic and data processing - Containerize and manage services using Docker Back End : - Build and orchestrate data pipelines using Apache Airflow, Databricks, and PySpark - Write and optimize SQL queries for data analysis and reporting - Implement basic authentication using JWT or OAuth standards Requirements : - 3+ years of experience in fullstack or frontend/backend development - Strong hands-on with React.js, JavaScript, CSS, and HTML - Experience with Python, FastAPI, and Docker - Familiarity with cloud data tools like Google BigQuery - Exposure to authentication protocols (JWT/OAuth) Preferred : - Working knowledge of Node.js - Ability to collaborate in agile and cross-functional teams