4097 Fastapi Jobs - Page 40

Role: SDE2 Location: Bangalore, Karnataka, India Experience: 3 - 7 Years Product companies Skills & Expertise: Python, AWS, Fastapi, System Design, LLD, HLD, API Integration Work mode: WFO, Normal shift Onsite Opportunity (No Remote work available) About us: We are a Y Combinator-backed, insurtech startup co-founded by IIT Roorkee alumni, focused on transforming the underwriting landscape with Generative AI. Our SaaS offering helps insurance companies in the US make smarter, faster decisions by leveraging advanced AI to optimize underwriting processes, reduce risk, and improve premiums. As we continue to expand. About role: We’re looking for an ambitious, results-driven Senior Software Engineer to join our Engineering team. Key Responsibilities Code Quality and Development: Develop and maintain high-quality, scalable, and maintainable codebases. Establish and enforce coding standards, perform code reviews, and ensure adherence to best practices. Troubleshoot and resolve production bugs efficiently. System Design: Lead and contribute to Low-Level Design (LLD) and High-Level Design (HLD) for complex system architectures. Drive technical discussions to define the technical roadmap for the product. API Integration: Design, develop, and integrate APIs to ensure seamless functionality with third-party systems. Ensure security, scalability, and performance in API implementations. AWS Expertise: Manage and optimize cloud infrastructure on AWS. Implement robust CI/CD pipelines and monitor systems using AWS services. Mentorship and Team Collaboration: Mentor interns and freshers to build their technical capabilities and confidence. Ownership and Management: Take full ownership of the product lifecycle, from ideation to deployment. Collaborate with cross-functional teams to ensure alignment of business goals with technical deliverables. Exhibit a proactive, managerial ownership attitude in delivering results. Startup Journey: Be an integral part of scaling products from 1 to 10, contributing to product-market fit and growth strategies. Adapt and thrive in fast-paced, dynamic startup environments. Must-Have What We’re Looking For: Strong proficiency in Python with hands-on experience of 3+yrs in building SaaS applications. In-depth knowledge of AWS services and cloud infrastructure with hands-on experience of 2+yrs. Expertise in LLD and HLD for designing scalable and reliable systems with hands-on experience of 2+yrs. Proven track record of API integration and troubleshooting production bugs. Experience in managing code quality, performing reviews, and adhering to development best practices with hands-on experience of 1+yrs. Understanding of frontend-backend integration for delivering seamless user experiences. Good-to-Have Familiarity with containerization (Docker, Kubernetes) and microservices architecture. Exposure to observability tools for performance monitoring and debugging. Basic to intermediate knowledge of frontend development, with experience in JavaScript frameworks like React. Attitude Self-enabled: Demonstrates autonomy in problem-solving and decision-making. Proactive: Takes initiative to resolve challenges without supervision. Collaborative: Works effectively with cross-functional teams and fosters a team-oriented environment. Resilient: Thrives in a startup setting embracing agility and adaptability. Perks & Benefit Competitive base salary. Career growth opportunities in a fast-growing, YC-backed startup. Work with a passionate, forward-thinking team who work hard & party hard. Skills: kubernetes,fastapi,javascript,hld,low-level design (lld),system design,high-level design (hld),code quality,lld,aws,containerization,python,api integration,ci/cd,docker,cloud infrastructure,react,microservices

Job Title: Python Backend Developer - FastAPI, PostgreSQL, Pattern Recognition Location: Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT only | Based on skill and performance About Us: We are a cutting-edge fintech startup building an Al-powered trading intelligence platform that integrates technical analysis, machine learning, and real-time data processing. Our systems analyze financial markets using custom algorithms to detect patterns, backtest strategies, and deploy automated insights. We're seeking a skilled Python Backend Developer experienced in FastAPI, PostgreSQL, pattern recognition, and financial data workflows. Key Responsibilities Implement detection systems for chart patterns, candlestick patterns, and technical indicators (e.g.,RSI, MACD, EMA) Build and scale high-performance REST APIs using FastAPI for real-time analytics and model communication Develop semi-automated pipelines to label financial datasets for supervised/unsupervised ML models Implement and maintain backtesting engines for trading strategies using Python and custom simulation logic Design and maintain efficient PostgreSQL schemas for storing candle data, trades, indicators, and model metadata (Optional) Contribute to frontend integration using Next.js/React for analytics dashboards and visualizations Key Requirements Python (3-7 years): Strong programming fundamentals, algorithmic thinking, and deep Python ecosystem knowledge FastAPI: Proven experience building scalable REST APIs PostgreSQL: Schema design, indexing, complex queries, and performance optimization Pattern Recognition: Experience in chart/candlestick detection, TA-Lib, rule-based or ML-based identification systems Technical Indicators: Familiarity with RSI, Bollinger Bands, Moving Averages, and other common indicators Backtesting Frameworks: Hands-on experience with custom backtesting engines or libraries like Backtrader, PyAlgoTrade Data Handling: Proficiency in NumPy, Pandas, and dataset preprocessing/labeling techniques Version Control: Git/GitHub - comfortable with collaborative workflows Bonus Skills Experience in building dashboards with Next.js / React Familiarity with Docker, Celery, Redis, Plotly, or TradingView Charting Library Previous work with financial datasets or real-world trading systems Exposure to Al/ML model training, SHAP/LIME explainability tools, or reinforcement learning strategies Ideal Candidate Passionate about financial markets and algorithmic trading systems Thrives in fast-paced, iterative development environments Strong debugging, data validation, and model accuracy improvement skills Collaborative mindset - able to work closely with quants, frontend developers, and ML engineers What You'll Get Opportunity to work on next-gen fintech systems with real trading applications Exposure to advanced AI/ML models and live market environments Competitive salary + performance-based bonuses Flexible working hours in a remote-first team

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be assisting EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insights from data. Working with multi-disciplinary teams across the entire region to support global clients is a key aspect of this role. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. Your expertise and skills as our in-house senior AI engineer will be vital in steering one of our Innovation agendas. Responsibilities include converting business problems into analytical problems and devising solution approaches, cleaning, aggregating, analyzing, and interpreting data to derive business insights, and owning the AI/ML implementation process. You will also work closely with Solution Architects in deploying AI POCs and scaling up to production-level applications. Key Requirements/Skills & Qualifications: - Excellent academic background in data science, Business Analytics, Statistics, Engineering, Operational Research, or related fields - Strong background in Python with excellent coding skills - 4+ years of core data science experience in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL databases, API deployment, and web apps creation - Additional skills requirements include project management experience, knowledge of reporting tools and processes, proactive and organized work approach, ability to analyze complex problems and deliver pragmatic solutions, and robust and resilient disposition What we look for: - A team of people with commercial acumen, technical experience, and enthusiasm to learn new things - An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers: - Inspiring and meaningful projects - Education and coaching for personal development - Opportunities for skills development and career progression - Support, coaching, and feedback from engaging colleagues - Freedom and flexibility to handle your role in a way that's right for you EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Job Description : Principal AI Architect Employment Type : Full-Time. Relevant Experience : 10+ years Key Responsibilities AI-First Leadership : Define and drive DB Techs AI vision, re-architect systems into AI-native services, integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and autonomous testing. Architect Scalable AI Systems : Design enterprise-scale AI/ML platforms that support real-time analytics, model deployment, and continuous learning in financial products and services. Lead Solution Design : Collaborate with data scientists, engineers, and business stakeholders to build and integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors). Ensure Governance & Compliance : Implement AI systems that meet financial regulations (e.g., GDPR, PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability. Drive MLOps Strategy : Establish and maintain robust pipelines for data ingestion, feature engineering, model training, testing, deployment, and monitoring. Team Leadership : Provide technical leadership to data science and engineering teams. Promote best practices in AI ethics, version control, and reproducibility. Identify areas where AI can deliver business value and lead the development of proofs-of-concept (PoCs). Evaluate the feasibility, cost, and impact of new AI initiatives. Define best practices\standards for model lifecycle management (training, validation, deployment, monitoring) - Evaluate Emerging Technologies : Stay ahead of developments in generative AI, LLMs, and FinTech- specific AI tools, and drive their strategic adoption. Technical Skills And Tools ML & AI Frameworks : Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Hugging Face Transformers, OpenAI APIs (for generative and NLP use cases) MLOps & Deployment MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases FastAPI, gRPC, Docker, Kubernetes, Airflow FinTech-Specific Applications Credit scoring models, Fraud detection algorithms Time series forecasting, NLP for financial documents/chatbots Algorithmic trading models, AML (Anti-Money Laundering) systems Cloud & Data Platforms AWS SageMaker, Azure ML, Google Vertex AI Databricks, Snowflake, Kafka, BigQuery, Delta Lake Monitoring & Explainability SHAP, LIME, Alibi, Evidently AI, Arize AI IBM AIX 360, Fiddler AI Required Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field; PhD is a plus. 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly regulated industries. Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk modeling, or portfolio optimization. Strong Hands-on Expertise In Machine Learning : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Data Engineering : Spark, Kafka, Airflow, SQL/NoSQL (MongoDB, Neo4j) Cloud & MLOps : AWS, GCP, or Azure; Docker, Kubernetes, MLflow, SageMaker, Vertex AI Programming : Python (primary); Java or Scala (optional) Solid software engineering background with experience integrating ML models into scalable production systems. Excellent communication skills with the ability to influence both technical and non-technical stakeholders. (ref:hirist.tech)

Python Developer Fast API Services Plus AI ML Openings : 10 Experience : 6-8 Skills Required : Strong Python development skills Object-oriented programming, design patterns, and software engineering best practices Proven experience with microservices using Python RESTful API design and implementation Deep understanding of multi-process architecture and Python threading limitations Experience with Kubernetes and containerization ORM expertise : SQLAlchemy, Alembic Version control with Git Excellent problem-solving and debugging skills Strong collaboration and communication skills Good knowledge in NLP and Generative AI Key Responsibilities Develop, deploy, and maintain robust and scalable microservices using Python and FastAPI. Design and implement efficient RESTful APIs. Apply object-oriented programming (OOP) principles, design patterns, and software engineering best practices to deliver high-quality code. Work with Kubernetes and containerization to manage and orchestrate services. Utilize SQLAlchemy and Alembic for efficient Object-Relational Mapping (ORM) and database migrations. Manage code effectively using Git for version control. Collaborate closely with cross-functional teams, leveraging your strong communication and problem-solving skills. Apply your knowledge of NLP (Natural Language Processing) and Generative AI to integrate advanced AI/ML functionalities into our services. Demonstrate a deep understanding of multi-process architecture and Python threading limitations to optimize performance. (ref:hirist.tech)

About Nirvana Nirvana Solutions is a financial technology & services provider that delivers integrated and modular front, middle and back-office solutions to a wide array of financial firms, including hedge funds, private equity firms, asset managers, prime brokers, and fund administrators. Nirv?na 's ability to electronically ingest data from the inception of a portfolio and seamlessly integrate its day-to-day workflow from front to back office, makes it stand out from the crowd. The complexity of the application poses interesting challenges and facilitates multitude of learning opportunities to the one who wants to dive in. At Nirv?na, we strive to build a close- knit competitive team environment. We believe in team players. A successful team gives better results than an accomplished individual. For further information about us, please visit our website www.nirvanasolutions.com. Nirv?na solutions headquarter is in the financial capital of the world - Manhattan, NY, USA. Our offshore development centre is in Gurugram and is a wholly owned subsidiary of the U.S Entity. The offshore development and client service Centre Is a critical piece to the company's overall success and will continue to play an increasingly important role in the future We are hiring for Senior Python Developer. Job Description Summary We are seeking an experienced Senior Python Developer (6+ years) to join our team in building and scaling our AI-driven Copilot platform. This platform leverages LangChain, LangGraph, LangMem, vector databases, and advanced agentic flows to provide intelligent assistance to users across our investment management solutions. The role focuses on designing, developing, and implementing modern AI techniques to build and maintain multi-modal conversational systems enabling voice, text, and potentially image-based interactionswhile planning future enhancements with MCP (Model Control Protocol) to deliver exceptional user experiences that simplify workflows and fulfill user queries with engaging UX. Employment Type : Permanent Job Location : Gurugram (Hybrid Work Model) Salary Offered : As per industry standard Qualifications : BE/B.Tech in Computer Science from a top IT college or a Masters degree in a relevant field such as Statistics, Data Science, or Applied Mathematics. Experience : 6+ years of professional Python development experience in complex applications or AI/ML platforms. Job Responsibilities Build and refine the design and development of scalable, modular Python applications for the Copilot platform. Architect, implement, and refine LangChain/LangGraph agentic flows and long-term memory structures (using LangMem). Build robust API layers using FastAPI and integrate with internal/external APIs (e.g., NirvanaOne API, MCP Servers). Collaborate with product managers, UX designers, and engineering teams to translate requirements into technical designs. Provide technical mentoring, and code reviews for developers. Design and document clear architecture diagrams and technical specifications. Refine and integrate secure Azure-based authentication mechanisms across tenants. Ensure code quality through automated testing, CI/CD, and adherence to secure coding practices. Monitor system performance, identify bottlenecks, and proactively propose improvements. Stay updated with AI/ML advancements and advise on their integration into our architecture. Requirements Strong expertise in Python and related libraries. Experience with LangChain, LangGraph, LangMem, vector DBs and embeddings-based search. Solid knowledge of backend api frameworks like FastAPI for building high-performance APIs. Hands-on experience designing agentic or conversational AI architectures. Experience integrating with identity providers (Azure AD preferred) and working with refresh/access tokens. Proficiency with RDBMS (PostgreSQL, SQL Server) and NoSQL databases. Familiarity with cloud services (Azure preferred) and containerization (Docker). Knowledge of modern AI/ML techniques, including LLM-based applications. Experience working on multi-tenant architectures and secure API integrations. Strong software engineering principles : version control, automated testing, CI/CD. Excellent problem-solving skills and ability to think strategically. Strong communication skills and ability to work in cross-functional teams. Nice To Have Exposure to the investment management domain or financial services applications. Experience with MCP (or equivalent frameworks for multi-modal/agentic systems). Familiarity with Kafka-based event-driven architectures. Why Nirvana Work on the Test environment which gives you an opportunity to enhance and modify with respect to your desired skills. Opportunity to become a subject matter expert by way of certifications and relevant assignments. Get early opportunity to take product ownership for fast-paced growth. Latest software engineering practices. Opportunity to directly work with top leadership (including the CEO) and be recognized for the good work. Take the initiative to implement new technology/frameworks/processes to delight our clients with a wonderful product. Exposure to the finance domain (Security Markets) is one of our distinctive advantages. A conducive working environment with several employee benefits. Friendly Culture. 5 Days Working with flexibility of work from home / hybrid working model. (ref:hirist.tech)

As a Software Engineer - Python Developer at our company, you will play a key role in developing and managing the backend infrastructure of our analytics platform for MetaAds. Your responsibilities will include writing cron jobs to fetch data from Meta APIs, integrating AI tagging pipelines, and ensuring smooth data flow between the PostgreSQL database and our Next.js frontend. You will be expected to develop and maintain FastAPI-based backend services, optimize cron jobs for data aggregation from Meta Ads API, write efficient database queries in PostgreSQL, and integrate various AI pipelines into the application. Collaboration with frontend developers to expose endpoints for seamless interaction with Next.js will also be a crucial aspect of your role. The ideal candidate for this position should have 3-5 years of experience in backend development using Python, with proficiency in FastAPI or Flask and a willingness to transition to FastAPI. Strong skills in writing optimized database queries, integrating third-party APIs, understanding asynchronous programming in Python, and working in Agile environments are essential. Experience in ad-tech or mar-tech industries, developing cron jobs, and knowledge of AI/ML pipelines for backend systems would be advantageous. If you are looking for a challenging opportunity to contribute to the development of a cutting-edge analytics platform and possess the required skills and experience, we encourage you to apply for this position. Join our team and be part of our mission to revolutionize the world of MetaAds analytics!,

Job Title : Full Stack Developer Location : Bengaluru, India Experience : 68 Years Employment Type : Full-time Company Overview IAI Solution Pvt Ltd (www.iaisolution.com) operates at the edge of applied AI, where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains. We are seeking a Full Stack Developer who thrives in high-velocity environments, enjoys technical problem-solving, and is passionate about building scalable, robust, and impactful software systems. Position Summary As a Full Stack Developer, you will be responsible for designing, developing, and maintaining frontend and backend systems across multiple domains. Youll work closely with product teams, DevOps, and other stakeholders to deliver mission-critical solutions. This role is ideal for someone with hands-on experience in full stack development using modern web technologies, who enjoys working in a startup-like environment with ownership and agility. Key Responsibilities Develop and maintain scalable and secure full stack applications using modern frameworks. Collaborate with frontend and backend teams to design APIs, services, and UI components. Write clean, efficient, and reusable code for both frontend (React.js , Next.js) and backend (Node.js, Python, FastAPI, Spring Boot). Implement and maintain CI/CD pipelines using GitHub Actions or Azure DevOps. Work with containerization tools like Docker and orchestration platforms like Kubernetes. Integrate with cloud services (Azure or AWS) and databases (PostgreSQL, MongoDB). Ensure high performance and responsiveness across all platforms and devices. Monitor and troubleshoot application performance using observability tools. Must-Have Qualifications 6-8 years of experience as a Full Stack Developer. Proficiency in JavaScript (React.js, Next.js), Python (FastAPI), and/or Java (Spring Boot). Strong understanding of REST APIs, microservices, and modern web architecture. Experience with relational and non-relational databases : PostgreSQL, MongoDB. Exposure to containerization (Docker) and deployment using Kubernetes. Experience in cloud environments such as Azure (preferred) or AWS. Familiarity with Agile methodologies and version control (Git). Excellent problem-solving, debugging, and communication skills. Technical Stack Frontend : Next.js ,React.js, Backend : Python (FastAPI), Java (Spring Boot), Node.js Databases : PostgreSQL, MongoDB, Redis DevOps/Cloud : Azure (preferred), AWS, Docker, Kubernetes, Terraform CI/CD : GitHub Actions, Azure DevOps Messaging : Kafka, RabbitMQ, Azure Service Bus Monitoring : Prometheus, Grafana, ELK Stack Good-to-Have Skills Familiarity with AI/ML integrations or MLOps workflows Experience in performance tuning and frontend optimization Exposure to scalable microservices architecture Perks & Benefits Competitive salary with performance-based bonuses Opportunity to work on AI-driven, innovative products Collaborative and learning-oriented work culture Health insurance and wellness benefits Flexible work hours (ref:hirist.tech)

We are seeking a Python AI/ML Developer who is enthusiastic about Large Language Models (LLMs), rapid prototyping, and scalable backend development. If you are passionate about creating AI-native applications using frameworks like FastAPI, Django, Gradio, and Streamlit, and have some experience in digital or affiliate marketing, we are interested in hearing from you. Your responsibilities will include building and deploying AI-powered applications using Python and LLM APIs such as OpenAI, LLaMA, Mistral, etc. You will be developing RESTful and asynchronous APIs utilizing FastAPI and Django, integrating and managing databases like PostgreSQL and MongoDB, and designing intuitive frontend UIs with Gradio and Streamlit. Additionally, you will be tasked with designing and optimizing prompts for various LLM use cases like text generation, classification, and semantic search. Collaboration with product, design, and marketing teams to transform concepts into production-ready tools is also a key aspect of this role. To excel in this position, you should possess a solid foundation in Python and a fundamental understanding of AI/ML workflows. Exposure to at least one LLM API such as OpenAI, Cohere, or Hugging Face models is essential. Proficiency in FastAPI, Django, PostgreSQL, and MongoDB is required, along with experience or project work involving Gradio and/or Streamlit. Demonstrated skills in crafting effective prompts and creating LLM chains or workflows are highly valued, as well as a strong problem-solving mindset and a keenness for continuous learning. Proficiency in Git and version control is also expected. Candidates with knowledge in digital marketing, affiliate marketing, or performance marketing will be given extra consideration. Familiarity with LangChain, LLMOps, or RAG-based pipelines is a plus. This is a full-time position that requires in-person work at the specified location.,

As a Data Engineer, you will be responsible for designing and building efficient data pipelines using Azure Databricks (PySpark). You will implement business logic for data transformation and enrichment at scale, as well as manage and optimize Delta Lake storage solutions. Additionally, you will develop REST APIs using FastAPI to expose processed data and deploy them on Azure Functions for scalable and serverless data access. You will play a key role in data orchestration by developing and managing Airflow DAGs to orchestrate ETL processes. This includes ingesting and processing data from various internal and external sources on a scheduled basis. Database management will also be part of your responsibilities, involving handling data storage and access using PostgreSQL and MongoDB, and writing optimized SQL queries to support downstream applications and analytics. Collaboration is essential in this role, as you will work cross-functionally with teams to deliver reliable, high-performance data solutions. It is important to follow best practices in code quality, version control, and documentation to ensure the success of data projects. To excel in this position, you must have at least 5 years of hands-on experience as a Data Engineer and strong expertise in Azure Cloud services. Proficiency in Azure Databricks, PySpark, and Delta Lake is required, along with solid experience in Python and FastAPI for API development. Experience with Azure Functions for serverless API deployments, managing ETL pipelines using Apache Airflow, and working with PostgreSQL and MongoDB is also necessary. Strong SQL skills and experience handling large datasets are essential. Preferred qualifications include familiarity with data ingestion from APIs or third-party data providers, experience optimizing data pipelines for performance and scalability, and a working knowledge of Azure services like Azure Data Lake and Azure Storage.,

Responsibilities: Collaborate with cross-functional teams on project requirements and deliverables. Design, develop, test & maintain full stack applications using React.js, Python, FastAPI, MongoDB & Docker. Work from home

You are an experienced Software Developer with 3+ years of hands-on development experience, and you are sought after to join a dynamic engineering team at nCare, Inc. in California, US. Your expertise lies in modern frontend technologies such as React and NextJS, backend development using Python, PostgreSQL databases, and working on cloud platforms like Google Cloud. Additionally, you demonstrate proficiency in AI-powered development tools and workflows. In this role, you will be responsible for designing, developing, and maintaining scalable web applications using React and NextJS. You will also build robust backend services and APIs using Python, optimize PostgreSQL databases, and implement user-friendly interfaces with JavaScript, HTML5, and CSS3. Your tasks will involve developing and optimizing database interactions, ensuring code quality through testing and debugging, and deploying applications on Google Cloud Platform. Your role will also include leveraging AI development tools to accelerate development cycles, integrating AI/ML capabilities into applications using Google Cloud AI services, and staying updated with emerging AI tools to enhance development workflows. Collaboration with cross-functional teams, participating in code reviews, documenting technical solutions, and effectively communicating technical concepts to stakeholders are essential aspects of this position. To be successful in this role, you must have at least 3 years of professional software development experience. Your technical skills should include proficiency in React.js, NextJS, JavaScript, HTML5, CSS3, Redux, Context API, Python programming, Django, Flask, or FastAPI frameworks, RESTful API design, and PostgreSQL database management. Additionally, hands-on experience with Google Cloud Platform services, AI-powered development tools, version control systems like Git, collaborative development workflows, and knowledge of software testing principles and web performance optimization are required. Preferred qualifications for this role include a Bachelor's degree in Computer Science or Engineering, experience with TypeScript, GraphQL, machine learning concepts, agile/scrum development methodologies, contributions to open-source projects, and familiarity with monitoring and logging tools.,

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

You are someone who thrives in a full-stack Python + QA + Database + AI environment and is excited about technical growth. If you are a passionate Python engineer with hands-on experience in building web services, supporting QA/automation workflows, and working confidently across SQL/NoSQL databases, this opportunity is for you. Responsibilities: - Develop, test, and maintain Python-based backend services using Django, FastAPI, or Flask. - Execute efficient web scraping tasks using BeautifulSoup or Scrapy. - Automate browser workflows using Selenium. - Write scalable database queries and schema designs for SQL (PostgreSQL/MySQL) and MongoDB. - Design and implement QA automation scripts and frameworks. - (Optional but desirable) Integrate and utilize AI/ML tools, packages, or APIs. Must-Have Skills: - Proficiency in Python (3.x) and modern frameworks (Django/FastAPI/Flask). - Web scraping experience with BeautifulSoup, Scrapy, or equivalent. - Hands-on automation using Selenium. - Strong database expertise in SQL and MongoDB. - Solid understanding of testing principles, automation techniques, and version control (Git). Nice-to-Have: - Exposure to AI or machine learning libraries (e.g. TensorFlow, PyTorch, OpenAI APIs). - Familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and containerization (Docker). Why This Role is Great: - Balanced challenge across backend development, QA automation, and data work. - Opportunity to explore AI/ML tools in real-world projects. - Engage in end-to-end ownership: backend QA deployment pipelines. Job Location: Gurugram Work Model: On-site Budget: 15-18 LPA,

If you are looking for a career where you can truly make a difference, consider joining HSBC, one of the largest banking and financial services organizations globally. With operations in 62 countries and territories, HSBC aims to facilitate business growth, economic prosperity, and the realization of individuals" aspirations. We are currently looking for an Equity Derivatives Quant Developer to join our team. In this role, you will collaborate with model quants and other quant developers to enhance the C++ and Python ecosystem of pricing and analytic libraries. Your responsibilities will include partnering with the equity derivatives front office to develop pricing and trading tools, supporting SDLC automation, and maintaining Jupyter notebook services for effective management. Key Responsibilities: - Collaborate with model quants and quant developers to enhance pricing and analytic libraries - Partner with equity derivatives front office for tool development - Support SDLC automation and self-service tooling - Develop and maintain Jupyter notebook services - Package Equities Python libraries for multiple applications - Ensure compliance with internal control standards Requirements: - Proven experience in a similar role, preferably with exposure to Equity derivative products - Bachelor's degree in a numerate discipline - Proficiency in C++ and Python - Experience with Python frameworks like Dash, Flask, FastApi - Strong communication skills in English - Disciplined approach to software development - Ability to work effectively in a global team - Strong problem-solving skills Desired additional skills: - Knowledge of exotic Equity derivative products and risk measures - Enhanced Vetting Role designation If you are interested in this role, kindly note that personal data related to your employment application will be handled as per our Privacy Statement, available on our website. Join us at HSBC and discover the impact you can make in the world of banking and finance.,

As an AI Engineer at YASH Technologies, you will have the opportunity to utilize your 24 years of experience in the field to make a significant impact. You will be a part of a team that is dedicated to leveraging cutting-edge technologies to drive business transformation and deliver exceptional stakeholder experiences. Your primary responsibility will be to build and deploy machine learning models for classification, regression, and clustering tasks. You will also apply foundational GenAI concepts such as embeddings, summarization, and RAG, using tools like LangChain and vector databases. Additionally, you will be expected to prepare documentation and interpret results to drive actionable insights. To excel in this role, you must have strong hands-on experience in Python, Scikit-learn, and Pandas. Knowledge of model evaluation, feature engineering, and model tuning is essential, along with exposure to LangChain and vector databases. Basic familiarity with FastAPI or Flask is also preferred. At YASH, we believe in empowering our employees to shape their careers while working in a collaborative and inclusive environment. We provide career-oriented skilling models and opportunities for continuous learning, unlearning, and relearning at a rapid pace. Our Hyperlearning workplace is guided by principles such as flexible work arrangements, open collaboration, support for business goals, and a stable employment environment with an ethical corporate culture. Join us at YASH Technologies and be a part of a team that is driving positive changes in an increasingly virtual world.,

You will be joining our team as a System Development Engineer focusing on the Hybrid Scientific Computing Stack. A strong background in computer science and software development is required for this role, and knowledge of quantum computing would be an added advantage. Your responsibilities will include working on backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes. Containerized workflows using Docker, Singularity, and Helm will be part of your tasks. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management, will also be within your purview. Additionally, you will work on scientific environments involving CUDA, Qiskit, Conda, GROMACS, and Lmod. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. Familiarity with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions is essential. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,

You are an ambitious, results-driven Senior Software Engineer with 3 to 7 years of experience, looking to join an insurtech startup based in Bangalore, Karnataka, India. The company is Y Combinator-backed and founded by IIT Roorkee alumni, focusing on leveraging Generative AI to transform the underwriting landscape for insurance companies in the US. Your role will involve developing and maintaining high-quality, scalable, and maintainable codebases, enforcing coding standards, leading system design discussions, designing and integrating APIs, managing cloud infrastructure on AWS, mentoring team members, taking ownership of the product lifecycle, and contributing to scaling products in a fast-paced startup environment. Key Responsibilities: - Develop and maintain high-quality, scalable, and maintainable codebases. - Establish and enforce coding standards, perform code reviews, and ensure adherence to best practices. - Lead and contribute to Low-Level Design (LLD) and High-Level Design (HLD) for complex system architectures. - Design, develop, and integrate APIs to ensure seamless functionality with third-party systems. - Manage and optimize cloud infrastructure on AWS. - Mentor interns and freshers to build their technical capabilities and confidence. - Take full ownership of the product lifecycle, from ideation to deployment. - Be an integral part of scaling products from 1 to 10 in a fast-paced, dynamic startup environment. Must-Have Requirements: - Strong proficiency in Python with hands-on experience of 3+ years in building SaaS applications. - In-depth knowledge of AWS services and cloud infrastructure with hands-on experience of 2+ years. - Expertise in LLD and HLD for designing scalable and reliable systems with hands-on experience of 2+ years. - Proven track record of API integration and troubleshooting production bugs. - Experience in managing code quality, performing reviews, and adhering to development best practices with hands-on experience of 1+ years. - Understanding of frontend-backend integration for delivering seamless user experiences. Good-to-Have Skills: - Familiarity with containerization (Docker, Kubernetes) and microservices architecture. - Exposure to observability tools for performance monitoring and debugging. - Basic to intermediate knowledge of frontend development, with experience in JavaScript frameworks like React. Attitude: - Self-enabled: Demonstrates autonomy in problem-solving and decision-making. - Proactive: Takes initiative to resolve challenges without supervision. - Collaborative: Works effectively with cross-functional teams and fosters a team-oriented environment. - Resilient: Thrives in a startup setting embracing agility and adaptability. Perks & Benefits: - Competitive base salary. - Career growth opportunities in a fast-growing, YC-backed startup. - Work with a passionate, forward-thinking team who work hard & party hard.,

You will be joining our team as a Systems Development Engineer for the Hybrid Scientific Computing Stack. A strong background in computer science and software development is essential for this role, with knowledge of quantum computing considered a valuable asset. Your responsibilities will include managing backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes, as well as working on containerized workflows with Docker, Singularity, Helm, and Kubernetes. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Additionally, you will be responsible for cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management including GPU/CPU scheduling, RBAC, and SSH-only access. Familiarity with scientific environments such as CUDA, Qiskit, Conda, GROMACS, and Lmod will also be part of your role. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. You should also be familiar with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,

As an SDE-II Python Developer at our company, you will be an integral part of our Operations department, working in an in-office setting on a full-time basis. We are seeking an experienced Python Developer with 2 to 5 years of expertise in developing scalable backend applications and APIs using modern Python frameworks. Your role will involve collaborating with the design, frontend, and DevOps teams to deliver high-performance solutions. Your key responsibilities will include developing, testing, and maintaining backend applications using frameworks like Django, Flask, or FastAPI. You will also be responsible for building RESTful APIs, integrating third-party services, and leveraging data handling libraries such as Pandas and NumPy for efficient data processing. Additionally, you will participate in code reviews, mentor junior developers, and troubleshoot production issues with a proactive approach. To succeed in this role, you must possess 2 to 5 years of experience in backend development with Python, proficiency in core and advanced Python concepts, and a strong command over at least one Python framework. You should also have experience with data libraries, authentication mechanisms, version control systems, and be comfortable working in Linux environments. The must-have skills for this position include expertise in backend Python development, strong debugging and optimization skills, experience with API development and microservices architecture, and a deep understanding of software design principles and security best practices. Additionally, good-to-have skills include experience with Generative AI frameworks, Machine Learning libraries, containerization tools, web servers, asynchronous programming, Agile practices, CI/CD pipelines, and cloud platforms. At our company, we specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture emphasizes a unique blend of in-office and remote collaboration, prioritizing employee well-being. You will have access to competitive salary packages, generous time off, continuous learning opportunities, and client exposure to enhance your professional growth. Join us in an environment that values continuous learning, leadership opportunities, and mutual respect, supporting you in achieving your fullest potential.,

As a Full Stack Developer at Optimum Data Analytics, you will be a key member of our team dedicated to delivering reliable AI solutions to our clients. With a focus on high-quality results and client satisfaction, we aim to bring clarity and experience to organizations, empowering every human decision with analytics & AI. Our diverse team includes statisticians, computer science engineers, data scientists, and product managers who collaborate to understand the business, analytics, and data management imperatives of our clients. By leveraging our expertise, flexibility, and cultural alignment, we strive to change how AI/ML is approached in the service sector and deliver outcomes that truly matter. Your role will involve utilizing a range of technical skills, including: - Frontend development using React.js with Shadcn, Redux, HTML5, CSS3, and tailwind CSS. - Backend development with Python, utilizing Flask or FastAPI frameworks. - Database management with SQL Server and MongoDB. - API integration using REST APIs. - Version control through Git and GitHub. - Testing with tools like Jest, PyTest, Postman, and Swagger. - Deployment knowledge, including Docker, CI/CD processes, and Linux scripting (a plus). If you have 4-7 years of experience and possess expertise in the mentioned technologies, along with a passion for delivering best-in-class services that drive business growth and customer value, we would like to hear from you. Join us in transforming businesses, helping them achieve their objectives, and making a real impact in the world of AI and analytics.,

Technical Lead / Architect Location: Pune, India Employment Type: Full‑Time You will be the keystone of our engineering organization—defining and evangelizing the vision for scalable, secure, data‑driven systems. You’ll partner with product management, DevOps, data engineering, and QA to translate high‑level business objectives into robust technical roadmaps, ensuring consistency, reliability, and performance across our platform. What You’ll Do (Key Responsibilities) Architectural Leadership Define and document end‑to‑end solution architectures, spanning cloud infrastructure, microservices, data stores, and integration patterns. Establish and govern architecture standards, design patterns, and best practices. Hands‑On Development & Prototyping Build proofs‑of‑concept and reference implementations in Java, Python, or Node.js using modern frameworks (Flask, FastAPI, Celery). Optimize data models and queries for both relational (PostgreSQL) and NoSQL (MongoDB) stores, leveraging Redis for high‑performance caching. Cloud‑Native Excellence Design and implement containerized applications on Kubernetes; orchestrate deployments with CI/CD pipelines. Author and maintain Infrastructure as Code (Terraform, CloudFormation) to ensure reproducible, secure, cost‑efficient environments. Collaborative Mentorship Act as the primary technical advisor for cross‑functional teams; run architecture review boards and technical deep‑dives. Coach and upskill engineers on cloud‑native development, DevOps best practices, and secure coding principles. Stakeholder Engagement Translate complex technical concepts into clear, actionable roadmaps for business stakeholders. Partner closely with Product and Operations to balance feature velocity with system stability and cost optimization. What We’re Looking For (Must Have) 5+ years in a software architecture or technical leadership role, ideally within a cloud‑first organization. Deep, demonstrable experience architecting microservice‑based systems on AWS , Azure , or GCP ; Associate‑ or Professional‑level certification preferred. Proficiency in Java , Python , and Node.js , and frameworks such as Flask , FastAPI , or Celery . Strong track record of designing solutions for both structured (PostgreSQL) and unstructured (MongoDB) data, including data modelling and query optimization. Hands‑on expertise with Kubernetes , Docker, and CI/CD toolchains (Jenkins, GitLab CI/CD, CircleCI, etc.). Solid knowledge of Infrastructure as Code (Terraform, CloudFormation) and how to build secure, scalable, repeatable pipelines. Excellent verbal and written communication skills; proven ability to influence at all levels and mentor junior engineers. Nice to Have (Optional Skills) Experience building MLOps pipelines (e.g., MLflow) and monitoring stacks (ELK, Prometheus/Grafana). Familiarity with GenAI frameworks (LangChain, LlamaIndex), vector databases (Milvus, ChromaDB), and multi‑component AI pipelines. Background in event‑driven and serverless architectures (e.g., AWS Lambda, Azure Functions). Deep understanding of security, compliance standards (ISO, SOC 2), and cloud cost‑optimization strategies. What We Offer Cutting‑Edge Projects: Work with the latest cloud, data, and AI/ML technologies to solve real‑world challenges. Career Growth: Clear advancement paths, mentorship programmes, and budget for certifications & conferences. Inclusive Culture: A diverse, collaborative environment where your ideas are heard and valued. Competitive Compensation: Attractive salary, performance bonus, stock options, and comprehensive health benefits.

As a Senior Python Developer at Techvantage.ai, you will play a crucial role in designing, developing, and maintaining scalable backend services and APIs using Python. If you are passionate about solving complex problems and working on high-impact projects, this is the opportunity for you to showcase your skills and expertise. Your key responsibilities will include designing, developing, testing, and maintaining Python-based backend services and APIs while ensuring clean, maintainable, and efficient code following best practices. You will collaborate with frontend developers, designers, and other backend engineers to deliver high-quality software solutions. Additionally, you will optimize the performance and scalability of applications, integrate with third-party APIs and data sources, participate in code reviews, troubleshoot and debug applications as needed, and maintain clear documentation of code and technical skills. The ideal candidate will have 3-5 years of hands-on experience in Python development, a strong understanding of web frameworks such as Django, Flask, or FastAPI, experience in building RESTful APIs and microservices, and solid knowledge of relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). Familiarity with version control systems like Git, experience with cloud platforms (AWS, GCP, or Azure), and a good understanding of software development life cycle (SDLC) and Agile methodologies are essential. Desirable skills include experience with containerization tools like Docker and orchestration tools like Kubernetes, familiarity with CI/CD pipelines, exposure to DevOps practices or basic system administration, understanding of unit testing and test automation. By joining our team, you will have the opportunity to work on meaningful and innovative projects, be part of a collaborative and supportive team culture, and have opportunities for continuous learning and professional growth. If you are ready to make a difference in the world of technology and artificial intelligence, we would love to hear from you.,

Generative AI Engineer (Hands-on Development Role) Location: Winfo Solutions Job Type: Full-time Experience: 6-10 years Industry: IT Consulting About The Role We are looking for a Generative AI Engineer with strong software engineering skills and hands-on experience in developing AI-powered applications . This role involves coding AI-driven solutions, developing APIs, integrating models into products, and building scalable AI systems for production use. Key Responsibilities Develop AI-driven applications by integrating LLMs and generative models into real-world software solutions. Design and build APIs for LLMs and GenAI models (FastAPI, Flask, Django). Write production-ready code to integrate AI features into web applications, chatbots, document processing tools, and recommendation systems. Fine-tune and optimize LLMs (GPT, LLaMA, Gemini, Claude, Mistral) for performance in real-time applications. Develop AI-powered chatbots, document extraction tools, and automation systems using LangChain, Haystack, or Semantic Kernel. Implement vector search using FAISS, ChromaDB, or Pinecone for retrieval-augmented generation (RAG) applications. Work with databases (PostgreSQL, MongoDB, Redis) to manage AI-driven data workflows. Build scalable AI microservices and integrate them into enterprise applications. Collaborate with backend engineers, data engineers, and DevOps teams to ensure seamless deployment of AI models. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Software Engineering, AI, or related field. 6+ years of experience in software development, AI engineering, or full-stack AI application development. Strong Python coding skills with experience in frameworks like FastAPI, Flask, Django. Hands-on experience developing APIs for AI models and integrating them into real-world applications. Experience with LLM APIs (OpenAI, Gemini, Claude, Mistral, etc.) and fine-tuning custom models. Strong knowledge of vector databases (FAISS, ChromaDB, Pinecone) for AI-powered search. Experience working with WebSockets, asynchronous programming, and RESTful APIs. Database experience with PostgreSQL, MongoDB, or Redis for AI-driven applications. Experience with MLOps pipelines (MLflow, Airflow, Prefect) for model retraining and monitoring. Good To Have Skills & Qualifications Familiarity with containerization (Docker, Kubernetes) and cloud-based AI deployments (AWS, GCP, Azure). Basics of probabilistic models, deep learning techniques, NLP, and embeddings.

As an AI and Machine Learning Engineer at Dailoqa, you will play a crucial role in shaping the future of Financial Services clients and the company as a whole. Working directly with the founding team, you will have the opportunity to apply the latest AI techniques to address real-world problems encountered by Financial Services clients. Your responsibilities will include designing, constructing, and enhancing datasets to assess and continually enhance our solutions, as well as engaging in strategy and product ideation sessions to influence our product and solution roadmap. Key Responsibilities: - Agentic AI Development: Build scalable multi-modal Large Language Model (LLM) based AI agents using frameworks such as LangGraph, Microsoft Autogen, or Crewai. - AI Research and Innovation: Research and develop innovative solutions for relevant AI challenges such as Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. - Technical Expertise: Demonstrate proficiency in a technology stack comprising Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. - LLM and NLP Experience: Hands-on experience with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. - Dataset Development: Establish a strong track record of constructing datasets for training and/or evaluating machine learning models. - Customer Focus: Dive deep into the domain, comprehend the problem, and concentrate on delivering value to the customer. - Adaptability: Thrive in a fast-paced environment and demonstrate enthusiasm for joining an early-stage venture. - Model Deployment and Management: Automate model deployment, monitoring, and retraining processes. - Collaboration and Optimization: Collaborate with data scientists to review, refactor, and optimize machine learning code. - Version Control and Governance: Implement version control and governance for models and data. Required Qualifications: - Bachelor's degree in computer science, Software Engineering, or a related field. - 4-8 years of experience in MLOps, DevOps, or similar roles. - Strong programming experience and familiarity with Python-based deep learning frameworks like PyTorch, JAX, Tensorflow. - Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform. Desired Skills: - Experience with experiment tracking and model versioning tools. - Proficiency with the technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. - Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect. - Familiarity with software testing and test automation practices. - Understanding of ethical considerations in machine learning deployments. - Strong problem-solving skills and ability to work in a fast-paced environment.,