4097 Fastapi Jobs - Page 33

Reports To: Senior Engineer/Team Lead Job Overview We are looking for dedicated back-end engineers to join our team and contribute to our server- side development processes. You will be responsible for designing and maintaining scalable web services, managing databases and collaborating with stakeholders to ensure seamless integration between front end and back end. Key Responsibilities 1. Develop and maintain server-side applications. 2. Build scalable and secure web services using backend programming languages like .NET, Python, Java, and Node.js. Manage databases and data storage. 3. Design and optimize databases on PostGRESQL MySQL, MongoDB, or SQL Server while ensuring secure and reliable data management. 4. Collaborate with team members. Work closely with front-end developers, designers, and project managers to ensure alignment between server-side functionality and user interfaces. 5. Implement APIs and frameworks. Design and implement RESTful APIs to facilitate communication between server-side applications and end-user systems. 6. Conduct troubleshooting and debugging. Identify and resolve performance bottlenecks, security vulnerabilities, and server-side errors to maintain system stability. 7. Optimize scalability and workflow. Develop reusable code and scalable solutions to accommodate future growth. 8. Integrate core backend systems with multiple external parties. 9. Perform test driven development. 10. Develop systems with logging and observability as core tenets. Key Technical Requirements 1. Programming Languages Proficient in at least one server-side language: Python, Java, Node.js, Go, or .NET Core. Writing clean, modular, and scalable code. 2. Frameworks & Libraries Experience with backend frameworks like: Python: Flask, FastAPI, Django Java: Spring Boot Node.js: Express.js, NestJS 3. API Development Strong expertise in designing and implementing RESTful APIs and GraphQL APIs. Understanding of API authentication (API Keys). Familiar with API documentation tools (Swagger/OpenAPI). 4. Database Management Experience with RDBMS (PostgreSQL, MySQL, MS SQL) and NoSQL databases (MongoDB). Writing optimized queries and knowledge of schema design and indexing. 5. Microservices Architecture Understanding and experience in building scalable microservices. Knowledge of message brokers like Kafka, RabbitMQ 6. Security Best Practices Knowledge of securing APIs (rate limiting, CORS, input sanitization). 7. Cloud & Experience with cloud platforms like AWS, Azure, or GCP. Containerization using Docker and orchestration with Kubernetes. (Bonus Skillset) CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI. 8. Version Control Proficient in using Git, GitHub/GitLab/Bitbucket workflows. 9. Testing & Debugging Writing unit, integration, and performance tests using frameworks like PyTest, JUnit, Mocha, or Postman. Proficient in using debugging and profiling tools. 10. Monitoring & Logging Familiarity with logging frameworks (ELK Stack, Prometheus, Grafana). Error monitoring with tools like Sentry, Datadog, or New Relic. 11. Agile Development Comfortable working in Agile/Scrum teams. Soft Skills 1. Strong communication and stakeholder management. 2. Ability to work as an individual contributor and team member. 3. Problem solving.

We’re building an Agentic AI Platform that lets enterprises solve real business problems using Agentic AI workflows. From utility operations to legal document review; our mission is to let AI agents think, act, and deliver; fast, secure and locally. We’re looking for an Agentic AI Engineer who’s hungry to learn and ship. If you’re ready to build with cutting-edge frameworks like Lang Chain, CrewAI, Lang Graph, Google ADK and more and can translate real enterprise problems into intelligent multi-agent workflows, this role is for you. What You’ll Do Build and deploy AI agents using open-source agentic frameworks Explore and integrate models from OpenAI, Mistral, Gemini, Llama, Claude, etc. Use tools like Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores Work with product managers and domain experts to solve real problems (not just prototypes) Continuously test and refine agent behavior across different enterprise domains (utilities, legal, marketing, supply chain) Actively contribute to evolving our proprietary DataInsightAI platform Must-Have Skills At least 1+ years of hands-on experience implementing a enterprise level Gen AI project that has gone live. Strong Python skills (Async, FastAPI, LangChain/CrewAI or similar) Experience working with LLMs (OpenAI, Llama, Claude, Gemini, etc.) Familiar with agentic AI workflows, prompt chaining, and tool use Understanding of RAG, vector databases (like FAISS, Qdrant, Weaviate) Curiosity-driven mindset, fast learner, hands-on coder Ability to simplify complex problems and build MVPs fast Nice to Have Worked on multi-agent architectures or fine-tuned LLMs Used graph databases (Neo4j) or custom knowledge stores Experience deploying on Azure/AWS/GCP Familiarity with LangGraph or Google ADK Why Join Us? Work on cutting-edge agentic AI every day Be part of a lean team with real ownership Ship fast and solve real enterprise challenges Backed by InTimeTec, with a strong AI/ML engineering culture

Note- Immediate to 15 Days Joiner Skills : Python, Power Automate, FastAPI, Azure, GenAI (OpenAI, Gemini), Vector DBs (FAISS, Pinecone), LangChain, OOPS Experience : 48 Years Locations : Chennai, Bangalore, Pune, Coimbatore

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. About The Role We are hiring a Product Growth Manager to lead initiatives at the intersection of retail, AI, and product execution. This role requires someone who can conceptualize and build AI-native features, scale them effectively, and drive adoption through experimentation, data insights, and structured execution. You will work closely with engineering, machine learning, product, and business teams to deliver AI-powered capabilities that solve real-world retail challenges. The ideal candidate has strong technical foundations, sharp product instincts, and a proven ability to operate with speed and ownership in high-growth environments. What will you do at Fynd? Build and launch AI-native product features in collaboration with ML and engineering teams. Drive product-led growth initiatives focused on activation, retention, and adoption. Translate AI/ML capabilities into scalable and intuitive product experiences. Work hands-on with model deployments, inference systems, and API integrations. Own end-to-end product execution—from problem discovery to roadmap delivery and post-launch iteration. Contribute to platform strategies that scale AI features from MVPs to production-grade adoption. Understand and influence product flows specific to retail, catalog systems, and commerce automation. Some Specific Requirements AI and Technical Foundations Strong grasp of LLMs, embeddings, vector databases, RAG, and fine-tuning methods like LoRA and QLoRA. Hands-on experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and production-grade AI tooling. Familiar with AI workflows using FastAPI, Docker, MLflow, and model serving via Ray or TorchServe. Comfortable working with GitHub, Git, and tools for managing models, code, and experiments. Good understanding of microservices, API design (REST/GraphQL), and scalable backend systems. Experienced in CI/CD setup for training and deploying ML models to production. Data and Analytics Proficient in SQL, BigQuery, and Looker Studio for data exploration and dashboards. Able to design KPIs, success metrics, and user journey insights for product analytics. Knowledge of tools like dbt, Airflow, and event-based platforms like PostHog or Mixpanel. Experience with A/B testing, funnel analysis, and behavioral cohort tracking. Retail and Product Execution Solid understanding of retail workflows, product catalogs, and commerce ecosystems. Experience building and scaling digital products with real-world user adoption. Strong product judgment and ability to balance business, user, and technical priorities. Stakeholder Management and Execution Leadership Ability to lead and influence cross-functional teams to drive high-quality execution. Strong communication skills to present AI-driven concepts to both technical and non-technical audiences. Experience with Agile methodologies and tools such as Jira, Confluence, and Asana for planning and tracking. Preferred Experience 2 to 5 years in product, growth, or AI-focused roles. Experience in building and scaling AI-powered or technology-driven platforms. Exposure to retail, e-commerce, or SaaS environments. Track record of delivering outcomes in fast-paced, cross-functional teams. Why Join Us Be part of a team shaping the future of AI-native platforms in digital commerce. Work closely with leading AI engineers, product teams, and business stakeholders. Own and execute high-impact initiatives with autonomy and accountability. Operate in a culture that values speed, clarity, and innovation. If you're someone who thrives on execution, loves solving complex problems, and wants to build the future of AI-native platforms, we’d love to have you on board Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment

Job Title: Python Developer Location: Pune Job Type : Full-time Experience : 4+ years for Developer About The Role We are looking for a Mid-Senior Python Developer with 4+ years of experience who is passionate about backend development, performance optimization, and scalable architecture. You’ll be working on mission-critical applications using modern frameworks and tools. This role requires hands-on experience with Python 2 & 3 , Django , Flask , and FastAPI , and strong knowledge of relational and non-relational databases. Working knowledge of cloud platforms (AWS/Azure) , deployment tools (Docker) is highly desirable. If you have exposure to Machine Learning or Data Management , it’s a strong plus. Responsibilities Build and maintain scalable backend applications using Python Develop and consume RESTful APIs using FastAPI, Flask, or Django Integrate relational and NoSQL databases like MySQL, SQL, and MongoDB Manage deployments using Docker, Nginx, and Apache Write unit and functional tests using unittest2, nose, or doctest Work on cloud storage and compute services like Amazon S3, AWS Lambda Collaborate with cross-functional teams using tools like Jira, Slack, and Trello Optimize applications for performance and maintainability (Optional) Support or integrate ML models if experience exists Requirements Programming Proficient in Python Strong grasp of Python Collections, functional programming, and clean code practices Frameworks Expertise in Django, Flask, FastAPI ️ Databases Strong SQL skills with MySQL, SQL Web Servers & Platforms Experience with Apache and Nginx Comfortable with Ubuntu and Sun OS Linux distributions Deployment & Cloud Hands-on with Docker for containerization Familiarity with AWS, Azure, Amazon S3, and Lambda Other Tools & Tech Familiarity with Agile project tools: Jira, Trello Strong communication Testing Experience with unittest2, nose, doctest Nice-to-Have Exposure to Machine Learning frameworks Knowledge of deploying and monitoring ML models in production

TECHNICAL ARCHITECT Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management. Experience Required Technical Architect with 7 - 12 years of experience Salary 13-17 Lpa Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Experience: total work: 1 year (Preferred) Work Location: In person

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Hands-on exposure to self-hosted or managed LLMs, supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy, NLTK, Hugging Face Transformers, and OpenCV, contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django, Flask, or Node.js, and API development (REST or GraphQL). Front-end development experience with React, Angular, or Vue.js, with a working understanding of responsive design and state management. Development and optimization of data storage solutions, using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached. Working knowledge of microservices and serverless patterns, participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark, and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse, using tools such as Airflow, dbt, BigQuery, or Snowflake. Understanding of CI/CD, containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines, including setting up IAM roles, configuring TLS/SSL, and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices, model versioning, and deployment pipelines using MLflow, FastAPI, or AWS SageMaker. Configuration and management of cloud services such as AWS EC2, RDS, S3, Load Balancers, and WAF, supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Key: Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,100,000.00 per year Work Location: In person

Responsibilities: * Design, develop, test & maintain Power Automate solutions using Python, FastAPI, Azure & LangChain. * Collaborate with cross-functional teams on project requirements & deliverables.

Job Description: Spark, Java Strong SQL writing skills, data discovery, data profiling, Data exploration, Data wrangling skills Kafka, AWS s3, lake formation, Athena, glue, Autosys or similar tools, FastAPI (secondary) Strong SQL skills to support data analysis and imbedded business logic in SQL, data profiling and gap assessment Collaborate with development and business SMEs within technology to understand data requirements, perform data analysis to support and Validate business logic, data integrity and data quality rules within a centralized data platform Experience working within the banking/financial services industry with solid understanding of financial products and business processes

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com . About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Role : ML Engineer (Associate / Senior) Experience : 2-3 Years (Associate) 4-5 Years (Senior) Mandatory Skill: Python/MLOps/Docker and Kubernetes/FastAPI or Flask/CICD/Jenkins/Spark/SQL/RDB/Cosmos/Kafka/ADLS/API/Databricks Location: Bangalore Notice Period: less than 60 Days Job Description: Other Skills: Azure/LLMOps/ADF/ETL We are seeking a talented and passionate Machine Learning Engineer to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions. You will work closely with other engineers and data scientists to bring machine learning models from proof-of-concept to production, ensuring they deliver real-world impact and solve critical business challenges. Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions. Experience of having deployed ML models to production Create high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders. Integrate machine learning models seamlessly into existing production systems. Continuously monitor and evaluate model performance and retrain the models automatically or periodically Streamline existing ML pipelines to increase throughput. Identify and address security vulnerabilities in existing applications proactively. Design, develop, and implement machine learning models for preferably insurance related applications. Well versed with Azure ecosystem Knowledge of NLP and Generative AI techniques. Relevant experience will be a plus. Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) will be a plus. Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team. Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. Step 1: Submit your application via the Chubb Careers Portal. Step 2: Engage with our recruitment team for an initial discussion. Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable). Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey. Apply Now: Chubb External Careers

Job Summary: We are seeking a Senior Fullstack Developer with 4 to 6 years of experience to join our product engineering team. The ideal candidate will have hands-on expertise in React with TypeScript for frontend development and Node.js or Python for backend development, along with solid experience working with MongoDB or PostgreSQL databases. You will be responsible for building scalable, performant, and secure Fullstack applications end-to-end and will collaborate closely with UI/UX designers, DevOps engineers, and other developers. Key Responsibilities: Design, develop, and maintain scalable web applications across the frontend and backend. Build reusable, performant components and libraries using React with TypeScript . Implement backend services, APIs, and business logic using Node.js (Express.js) or Python (FastAPI, Flask, or Django) . Design and manage schemas, queries, and performance tuning for MongoDB or PostgreSQL . Collaborate with UI/UX designers to ensure technical feasibility and pixel-perfect implementation. Integrate third-party APIs, microservices, and internal RESTful services securely and efficiently. Ensure end-to-end performance, responsiveness, and scalability of the system. Write unit, integration, and end-to-end tests for both frontend and backend code. Conduct code reviews, enforce coding standards, and mentor junior developers. Participate in Agile/Scrum ceremonies and contribute to continuous improvement efforts. Monitor and troubleshoot production issues, implement fixes, and suggest architectural improvements. Technical Skills Required: Frontend: Strong proficiency in React.js with TypeScript Experience with state management (Redux, Context API, Zustand, or similar) Responsive design implementation with Tailwind CSS , Material UI , or Bootstrap Proficient in modern HTML5, CSS3 (Flexbox, Grid), and JavaScript ES6+ Familiarity with frontend build tools like Webpack , Vite , or Parcel Backend: Hands-on experience in Node.js (Express/NestJS) or Python (FastAPI/Flask/Django) REST API design, development, and documentation Understanding of authentication , authorization , and security best practices (JWT, OAuth, etc.) Experience with asynchronous programming and background jobs (Celery, BullMQ, etc.) Database: Experience in MongoDB (document modeling, aggregation pipeline) or PostgreSQL (relational schema design, query optimization) Understanding of data indexing, transactions, and backups Other: Version control using Git Familiarity with CI/CD pipelines Exposure to Docker and cloud platforms (AWS, GCP, Azure) is a plus Experience with testing frameworks (Jest, Mocha, PyTest, etc.) Soft Skills: Strong analytical and problem-solving abilities Ability to break down complex problems into manageable modules Excellent communication and team collaboration skills Willingness to take ownership of tasks and deliver high-quality solutions Attention to detail and passion for clean, maintainable code Preferred Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field 4 to 6 years of professional Fullstack development experience Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,800,000.00 per year Work Location: In person

Job Title: Senior Software Engineer – Backend (Python/FastAPI/AWS) Location: New Delhi Experience Required: 6–8 Years About the Role: We are seeking a highly motivated Senior Software Engineer with 6+ years of experience in backend development to join our fast-growing engineering team. The ideal candidate is a hands-on developer with deep expertise in Python , Django/FastAPI , and cloud-native architectures using AWS or Azure . You will play a pivotal role in designing and developing scalable microservices and high-performance web applications across diverse domains including fintech, retail, and healthcare. Key Responsibilities: Lead the design, development, and deployment of scalable microservices using Python (FastAPI/Django) . Build and maintain RESTful APIs to enable seamless integration with front-end, third-party platforms, and external systems. Architect cloud-native applications using AWS services like Lambda, S3, EC2, SQS, and CloudWatch. Integrate real-time data pipelines using Kafka/RabbitMQ and ensure system responsiveness and fault tolerance. Collaborate with cross-functional teams to implement features, resolve issues, and improve performance. Apply containerization using Docker and orchestrate deployments using CI/CD pipelines (GitHub Actions, GitLab CI). Contribute to system and architecture design discussions, ensuring code quality and scalability. Required Skills & Experience: Strong proficiency in Python with frameworks like Django , FastAPI , and Flask . Expertise in cloud platforms – AWS (Lambda, SQS, SNS, EC2), Microsoft Azure. Experience with PostgreSQL , MongoDB , and DynamoDB for data modeling and optimization. Familiarity with Apache Kafka , RabbitMQ , and other messaging systems. Solid understanding of CI/CD , Docker , and Kubernetes in production environments. Proficiency in Git , JIRA , Confluence , and Agile methodologies. Good exposure to React.js , Tailwind CSS is a plus for full-stack integration. Good to Have: Exposure to projects in domains such as banking (BaaS) , eCommerce SaaS , and data analytics . Experience with machine learning , EDA , or predictive modeling (e.g., house price prediction). Knowledge of WebSockets , Celery , and Redis . Education: B.Tech in Computer Science or related field from a reputed university. Job Type: Full-time Pay: ₹100,000.00 - ₹120,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Yearly bonus Work Location: In person

Job Title: AI/ML Engineer – FastAPI, FAISS & Vector Databases Location: Gurgaon (On-site) Job Type: Full-Time Job Overview: We’re hiring an AI/ML Engineer who can build scalable and intelligent systems using FastAPI , FAISS , and vector search technologies . If you’re passionate about retrieval-augmented generation (RAG), semantic search, and deploying real-world ML pipelines, we’d love to meet you! Key Responsibilities: Build, optimize, and maintain scalable ML APIs using FastAPI Implement and manage vector-based search systems using FAISS , Pinecone , or similar tools Create and serve embeddings using transformer models for semantic search, recommendations, or chatbot systems Design and deploy RAG (retrieval-augmented generation) pipelines using LLMs Work with large unstructured datasets (text, documents, etc.) to extract features and build indexes Collaborate with data scientists and backend engineers to integrate models into production Monitor and improve model performance and API latency in production environments Required Skills: Strong experience with Python and FastAPI Hands-on with FAISS and vector similarity search concepts Familiarity with sentence-transformers , Hugging Face , or OpenAI embeddings Working knowledge of vector databases like FAISS, Weaviate, Pinecone, or Qdrant Experience with NLP pipelines , tokenization , and text preprocessing Comfortable with RESTful APIs, JSON, and basic cloud deployment (e.g., AWS/GCP) Bonus/Good to Have: Experience with LangChain , LLMs , or RAG architecture MLOps practices for model serving and monitoring Exposure to Docker , Kubernetes , Airflow , or CI/CD pipelines Prior experience deploying LLM-based search or Q&A systems Ideal Candidate Profile: 2–4 years of experience in AI/ML engineering or backend roles with ML focus Comfortable building APIs that connect machine learning models to real users Familiar with working in fast-paced, agile environments Curious about LLMs, embeddings, and real-time AI applications Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,500,000.00 per year Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Job Title: Python Software Developer We are looking for a highly skilled Python Developer with deep expertise in Python to help design and build robust, scalable, and modern cloud-native SaaS platforms. You will work, focusing on building high-performance APIs and frontend interfaces, while adhering to software engineering best practices in an agile, product-driven environment.This role is ideal for someone who thrives in a startup-paced culture, values clean code, and wants to contribute to architectural decisions and scalable product growth. Key Responsibilities Architect, develop, and maintain Python web applications using Python (FastAPI, Django, or Flask). Design and implement RESTful and GraphQL APIs for internal and external services. Write clean, maintainable, and well-documented code with a focus on scalability, security, and performance. Integrate frontend interfaces with cloud-native backends and APIs. Design, optimize, and manage SQL and NoSQL database schemas and queries. Own feature development end-to-end: from design and prototyping to production deployment. Participate in agile ceremonies including daily stand-ups, sprint planning, code reviews, and retrospectives. Collaborate with DevOps engineers on CI/CD pipelines, infrastructure automation, and cloud architecture. Monitor, debug, and resolve issues in production systems using observability tools. Required Technical Skills 3+ years of experience with Python and modern frameworks (FastAPI, Django, or Flask). Strong understanding of RESTful architecture, API design, and versioning. Experience building scalable, asynchronous services using asyncio, Celery, or similar tools. Proficient in designing and managing SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). Knowledge of authentication, authorization, and API security (OAuth2, JWT). Experience deploying cloud-native backends on AWS, GCP, or Azure. Experience in React.js would be an added advantage: Understanding of frontend state management tools (Redux, Context API, Recoil). Familiarity with frontend build tools (Webpack, Vite) and testing frameworks (Jest, React Testing Library)would be an added advantage. Bonus / Nice to Have Experience with GraphQL and tools like Apollo Server/Client or Hasura. Experience building and deploying serverless functions (AWS Lambda, Azure Functions). Familiarity with microservices architecture and event-driven systems (e.g., Kafka, SNS/SQS). Prior work on B2B or multi-tenant SaaS products. Experience with test automation, TDD, and end-to-end testing tools (Cypress, Playwright). Contributions to open-source projects or technical blogs. COMPANY BACKGROUND  Empower Integrated Solutions is a software services company with over 20 years of experience delivering high-quality, custom-built technology platforms. We work with clients across domains and geographies to build scalable, reliable, and secure software solutions that solve real business problems. Our focus is on clean code, sustainable architecture, and long-term partnerships.

Locations : Bengaluru | Gurgaon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a part of BCG's X Delivery team you will work closely with consulting teams on a diverse range of advanced topics. You will have the opportunity to leverage software development methodologies to deliver value to BCG's Consulting & X (case) teams, X Product teams and Practice Areas (domain) through providing software developer subject matter expertise, and accelerated execution support. You will collaborate with teams to gather requirements, specify, design, develop, deliver and support software solutions serving client needs. You will provide technical support through deeper understanding of relevant software solutions and processes to build high quality and efficient technology solutions. Assignments will range from short term Proof of concepts/Minimum viable product to long term cases with enterprise grade software development as a critical enabler through the project level description of the role responsibilities and impact within the organization. YOU'RE GOOD AT Web Application Development End to End high scale web-development experience but not just limited to architecting, design, planning, development and deployment Maintains a strong knowledge base of new opensource tech stacks, applications, techniques, and skills Strong problem-solving and follow-up skills; must be proactive and take initiative Create robust proprietary code and translate business logic into project requirements Develop code using development best practices, and an emphasis on security best practices Leverage technologies to support business needs to attain high reusability and maintainability of current and newly developed systems Provide system design recommendations based on technical requirements Work independently on development tasks with minimal supervision Write effective unit tests and integration tests to ensure high-quality software delivery Business requirement gathering and collaboration Owning all or part of a software development engagement and integrating with cross-functional teams Establish credibility by thought partnering with demanding stakeholders / consulting teams on web development and delivery topics; drawing conclusions on a range of external and internal issues and dependencies Communicate insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with stakeholders / consulting teams; collecting, synthesizing, learnings & inputs into new best practices and methodologies Executing software development approach and creating defined outcome; contributing to approach selection Ensure proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents Able to build and sustain relationships with consulting MDPs to generate project work by self-leveraging regular connects Guides juniors on advanced software concepts and platforms, and helps in quality checks Contributes to team's content & IP development Imparts technical trainings to team members and consulting cohort Problem solving You should be strong in solutioning with hands-on experience in software delivery, through the entire life cycle of software development. Strong problem solving skills with the ability to develop and codify knowledge and provide appropriate technical advice where required Technical Skills: Must have Experience in building high-performance web applications using - Python - (Django, Flask, FastAPI), React, Angular, TypeScript, HTML5 and CSS3 Leveraging SQL-Postgres for best performance On OOPs concepts, design patterns, responsive UI and Unit testing frameworks like Mockito, Junit, Jest. Knowledge of Material UI or And Design Knowledge of UI component libraries to produce high-quality production apps following a high-fidelity design and a specification Track record of designing, developing and supporting highly scalable, responsive web applications and services Integrate UI with REST APIs to make the app production-ready Working knowledge Unix command-line tools and code repo Git CI/CD, DevOps tools Cloud infra architecture design (Azure, GCP, Oracle) and deployment using Kubernetes UI component libraries to produce high-quality production apps following a high-fidelity design and a specification Nice to have and considered as plus Microservices, Docker, Kubernetes File Storage and NoSql Databases like MongoDB Charting libraries like HighCharts, D3.js and Recharts Basic wireframing skills Python+ flask, Django, Jupyter notebook knowledge Hybrid Mobile app development using React Native or Ionic What You'll Bring Job Requirement: Bachelor's / Master's degree in computer science engineering/technology or equivalent Excellent communication skills Work Experience: At least 4-6 years of end-to-end web - application/tool development experience in a commercial setup specifically services or consulting organization Additional weightage for contributions made to open source projects, blogs, forums etc. in relevant technologies #LI-NT1 #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with a specialization in Computer Vision & Un-Supervised Learning to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for smart surveillance applications , including real-time detection, facial recognition, and activity analysis. This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in real-world production environments , both in the cloud and on edge devices . Key Responsibilities: AI/ML Development & Computer Vision Design, train, and evaluate models for: Face detection and recognition Object/person detection and tracking Intrusion and anomaly detection Human activity or pose recognition/estimation Work with models such as YOLOv8, DeepSORT, RetinaNet, Faster-RCNN, and InsightFace. Perform data preprocessing, augmentation, and annotation using tools like LabelImg, CVAT, or custom pipelines. Surveillance System Integration Integrate computer vision models with live CCTV/RTSP streams for real-time analytics. Develop components for motion detection , zone-based event alerts , person re-identification , and multi-camera coordination . Optimize solutions for low-latency inference on edge devices (Jetson Nano, Xavier, Intel Movidius, Coral TPU). Model Optimization & Deployment Convert and optimize trained models using ONNX , TensorRT , or OpenVINO for real-time inference. Build and deploy APIs using FastAPI , Flask , or TorchServe . Package applications using Docker and orchestrate deployments with Kubernetes . Automate model deployment workflows using CI/CD pipelines (GitHub Actions, Jenkins). Monitor model performance in production using Prometheus , Grafana , and log management tools. Manage model versioning, rollback strategies, and experiment tracking using MLflow or DVC . As an AI/ML Engineer, you should be well-versed of AI agent development and finetuning experience Collaboration & Documentation Work closely with backend developers, hardware engineers, and DevOps teams. Maintain clear documentation of ML pipelines, training results, and deployment practices. Stay current with emerging research and innovations in AI vision and MLOps. Required Qualifications: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. 3–6 years of experience in AI/ML, with a strong portfolio in computer vision, Machine Learning . Hands-on experience with: Deep learning frameworks: PyTorch, TensorFlow Image/video processing: OpenCV, NumPy Detection and tracking frameworks: YOLOv8, DeepSORT, RetinaNet Solid understanding of deep learning architectures (CNNs, Transformers, Siamese Networks). Proven experience with real-time model deployment on cloud or edge environments. Strong Python programming skills and familiarity with Git, REST APIs, and DevOps tools. Preferred Qualifications: Experience with multi-camera synchronization and NVR/DVR systems. Familiarity with ONVIF protocols and camera SDKs. Experience deploying AI models on Jetson Nano/Xavier , Intel NCS2 , or Coral Edge TPU . Background in face recognition systems (e.g., InsightFace, FaceNet, Dlib). Understanding of security protocols and compliance in surveillance systems. Tools & Technologies: Languages & AI - Python, PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn Model Serving - FastAPI, Flask, TorchServe, TensorFlow Serving, REST/gRPC APIs Model Optimization - ONNX, TensorRT, OpenVINO, Pruning, Quantization Deployment - Docker, Kubernetes, Gunicorn, MLflow, DVC CI/CD & DevOps - GitHub Actions, Jenkins, GitLab CI Cloud & Edge - AWS SageMaker, Azure ML, GCP AI Platform, Jetson, Movidius, Coral TPU Monitoring - Prometheus, Grafana, ELK Stack, Sentry Annotation Tools - LabelImg, CVAT, Supervisely Benefits: Competitive compensation and performance-linked incentives. Work on cutting-edge surveillance and AI projects. Friendly and innovative work culture. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs) , who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications . The ideal candidate should have hands-on experience with foundation model customization , prompt engineering , retrieval-augmented generation (RAG) , and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI , or Anthropic’s Claude . Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning , parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) , or prompt tuning . Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain , LlamaIndex , Haystack , or OpenAI Assistants API . Use embedding models , vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB ), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock , Azure OpenAI , Google Vertex AI , Anthropic Claude , or OpenAI API . Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails , content moderation , and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related fields. 3–6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems . Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex . Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters . Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services . Preferred Skills: Experience with open-source LLMs : Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows , or multi-agent LLM orchestration . Experience with multi-turn conversation modeling , dialogue state tracking. Understanding of model quantization , distillation , or fine-tuning in low-resource environments. Familiarity with ethical AI practices , hallucination mitigation, and user alignment. Tools & Technologies: LLM Frameworks - Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs - OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases - FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps - Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms - AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring - Prometheus, MLflow, Langfuse, Weights & Biases Benefits: Competitive salary with performance incentives. Work with cutting-edge GenAI and LLM technologies. Build real-world products using state-of-the-art AI research. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

As Python Developer, you'll contribute to the core analytics engine that powers portfolio scoring and optimization. If you're strong in Python and love working with numbers, dataframes, and algorithms—this is the role for you. Key Responsibilities - Build and maintain internal Python libraries for scoring, data ingestion, normalization, and transformation. - Collaborate on the core computation engine, dealing with Return, Safety, Income scoring algorithms. - Process broker portfolio data and validate datasets using clean, modular Python code. - Contribute to writing tests, CI scripts, and engine documentation. - Participate in internal design discussions and implement enhancements to existing libraries and engines. - Financial data set like factser and bloomberg to build quant model for USA market Must-Have Skills - Proficiency in Python 3.x, with attention to clean, testable code. - Hands-on experience with NumPy and pandas for numerical/data processing. - Understanding of basic ETL concepts and working with structured datasets. - Familiarity with Git, unit testing, logging, and code organization principles. - Strong problem-solving ability and willingness to learn new technologies fast. Good to Have (Bonus Points) - Experience with SQL and writing efficient queries for analytics use-cases. - Exposure to ClickHouse or other columnar databases optimized for fast OLAP workloads. - Familiarity with data validation tools like pydantic or type systems like mypy. - Knowledge of Python packaging tools (setuptools, pyproject.toml). - Experience with Apache Arrow, Polars, FastAPI, or SQLAlchemy. - Exposure to async processing (Celery, asyncio), Docker, or Kubernetes. What You’ll Gain - Work on the core decision-making engine that directly impacts investor outcomes. - Be part of a small, high-quality engineering team focused on clean, impactful systems. - Mentorship and learning in data engineering, financial analytics, and production-quality backend systems. - Growth path into specialized tracks: backend, data engineering, or system architecture. About the Stack While your main focus will be Python, you'll also interact with services that consume or publish to APIs, data stores like ClickHouse and PostgreSQL, and real-time processing queues. Job Type: Full-time Pay: ₹10,000.00 - ₹50,000.00 per month Location Type: In-person Work Location: In person

Role Summary: We are seeking a highly skilled and hands-on AI/ML Engineer with 1+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices. The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines Key Responsibilities ● AI/ML Architecture & Development ○ Implement and deploy machine learning models in production environments ○ Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) ○ Apply prompt engineering and retrieval-augmented generation (RAG) techniques ○ Build end-to-end ML workflows from data preprocessing to model evaluation ○ Contribute to the development of conversational AI solutions ● Software Engineering & Data Pipeline Development ○ Design, build, and maintain data pipelines and end-to-end ML workflows. ○ Build and deploy web services that integrate ML models ○ Implement APIs using frameworks like FastAPI or Flask ○ Work with databases (preferably MySql) and data processing tools ○ Ensure code quality, performance, and security in all implementations ● Deployment & Integration ○ Build production-grade ML models and APIs and deploy them on cloud platforms with the help of DevOps team. ○ Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team ● Collaboration ○ Work closely with cross-functional teams including data scientists and software engineers ○ Contribute to a culture of learning and innovation ○ Adapt to challenges even when requirements are ambiguous Technical Requirements ● Programming & Frameworks: ○ Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. ○ Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) ● Generative AI Expertise: ○ Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies. ○ Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. ○ Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval, processing, and response generation. ● API Development: ○ Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications : ● Bachelor’s degree in Computer Science, Engineering or related field. ● 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. ● Excellent problem-solving, analytical, and communication skills. ● Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.

Job Description: Python Developer (FastAPI + AI/GenAI Experience) Position Title: Python Developer – FastAPI & AI Integration Location: On-site (preferred) | Remote (optional based on skillset) Experience Required: Minimum 3 years in Python backend development Core Skills Requirements: • ✅ Strong experience in Python (3+ years). ✅ Hands-on expertise with FastAPI or similar modern Python web frameworks. ✅ Knowledge of Admin Panel Development using Django Admin, Flask Admin, or custom UIs. ✅ Understanding of API integrations, authentication (JWT/OAuth2), and database design. ✅ Good understanding of modern AI trends including: o Generative AI (GenAI) o Generative UI (GenUI) concepts o Integration with LLMs (OpenAI, Gemini, etc.) ✅ Familiarity with SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB). ✅ Git version control and CI/CD familiarity. Roles & Responsibilities: Backend Development & Optimization: o Build, maintain, and scale RESTful APIs using FastAPI or Django. o Implement efficient backend logic for handling chatbot agents and AI workflows. Admin Panel & Dashboard Development: o Create and manage admin panels to monitor AI operations and model performance. o Develop intuitive tools for internal usage (e.g., content moderation, analytics viewers, etc.). AI Integration: o Work with the AI team to integrate GenAI models and APIs into the backend. o Support the deployment and monitoring of LLM pipelines (chatbots, text classification, etc.). Research & Innovation: o Stay updated with new GenAI and backend development tools. o Propose enhancements and adopt new tech trends for continuous improvement. Nice-to-Have (Optional but Preferred): Exposure to LangChain, LlamaIndex, or other AI orchestration tools. Experience with Docker, Kubernetes, and deployment pipelines. • Understanding of Vector Databases (FAISS, ChromaDB, etc.). Experience integrating third-party APIs and services (Google AI Studio, OpenAI, etc.). Basic frontend understanding (HTML/CSS, JS) for admin UIs. Job Type: Full-time Pay: ₹650,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9109134415

Job Description: 5+ years of professional experience in Python development. Strong experience with Python web frameworks, particularly Flask or FastAPI. Hands-on experience with AWS cloud services and architecture. Solid understanding of RESTful API design and development Design, develop, and implement well-tested, reusable, and maintainable Python code. Utilize various Python libraries and frameworks (e.g., FastAPI, Django, Flask, Pandas, NumPy) to implement functionalities. Integrate various data sources (APIs, databases, AWS services) to manipulate and analyze data efficiently. Optimize code for performance, scalability, and security in cloud environments. Develop, deploy, and maintain applications on AWS, leveraging services such as EC2, Lambda, S3, RDS, API Gateway, and others. Write unit and integration tests to ensure code coverage and application stability. Collaborate with designers and other developers to translate requirements into efficient and scalable solutions. Participate in code reviews, providing constructive feedback to improve code quality. Stay up-to-date with the latest Python trends, libraries, AWS services, and best practices. Debug and troubleshoot complex issues to ensure optimal application and cloud infrastructure performance. Proactively suggest improvements and optimizations to existing codebase and AWS infrastructure for cost-efficiency and reliability.

We are looking for a highly skilled, AI-native, and results-oriented Full Stack Python Developer to join our on-premises software development team. The ideal candidate will be responsible for building modern web applications, integrating AI tools and automation platforms (like ChatGPT, Claude, Gemini, n8n, Make.com), and implementing event-driven architectures using Python and modern JavaScript frameworks. This role is perfect for someone who thrives in a fast-paced, innovation-driven environment and believes in working smarter with AI. Key Responsibilities: Design, build, and deploy full stack applications using Python (Django, FastAPI, or Flask) and frontend frameworks (React.js, Vue.js, or Next.js). Integrate and operationalize AI tools and LLM APIs such as ChatGPT, Claude, Gemini, and GitHub Copilot into development workflows and product features. Develop automation and workflow systems using n8n , Make.com , or Zapier to improve operational efficiency and productivity. Implement event-driven microservices using Pub/Sub systems like Kafka, RabbitMQ, Redis Streams, or Google Pub/Sub. Manage background task queues using Celery, RQ, or equivalent tools for asynchronous processing. Design and expose RESTful APIs and GraphQL endpoints and integrate with third-party systems. Work with cloud environments (AWS/GCP), containerization (Docker), and CI/CD pipelines for deployment and scalability. Collaborate with cross-functional teams in Agile sprints to deliver high-performance, maintainable, and testable code. Stay updated with the latest trends in AI, automation, and developer productivity tools. Requirements: 2–3 years of full stack development experience with strong proficiency in Python (Django/FastAPI/Flask) and modern frontend technologies. Proven experience integrating and working with AI tools like OpenAI (ChatGPT), Claude, Gemini, GitHub Copilot, and other LLM APIs . Hands-on experience using automation platforms such as n8n , Make.com , or Zapier . Strong understanding of event-driven architecture and Pub/Sub systems (Kafka, Redis Streams, RabbitMQ, etc.). Experience with asynchronous task queues (Celery, RQ) and scalable backend design. Proficiency in REST APIs, GraphQL , and microservices. Familiarity with cloud platforms ( AWS/GCP ), containerization ( Docker ), and CI/CD workflows. Excellent problem-solving, debugging, and collaboration skills. Ability to work full-time from our office location and contribute in a high-performance team environment. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,254.10 per month Education: Bachelor's (Required) Experience: Python: 2 years (Required) Vue.js: 1 year (Required) n8n: 1 year (Preferred) make.com: 1 year (Preferred) Docker: 1 year (Required) AWS: 1 year (Required) AI: 2 years (Required) React.js: 2 years (Required) Kafka: 1 year (Required) Redis: 1 year (Required) Location: Panchkula, Haryana (Required) Work Location: In person Application Deadline: 30/07/2025 Expected Start Date: 10/08/2025

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. Your Role We at Innovaccer are looking for a Software Development Engineer-III (Fullstack) to build the most amazing product experience. You’ll get to work with other engineers to build a delightful feature experience to understand and solve our customer’s pain points A Day in the Life Building efficient and reusable applications and abstractions Identify and communicate back-end best practices Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA, and delivery Analyses and improves the performance, scalability, stability, and security of the product Improve engineering standards, tooling, and processes What You Need 6+ years of experience with a start-up mentality and a high willingness to learn Expert in Python with Async should have worked extensively on products/services using these languages. Aggressive problem diagnosis and creative problem-solving skills Expert in Kubernetes and containerization Expertise in Python and Django Experience in MongoDB or other NoSQL database Experience with Distributed Async Task Queue like Celery Some experience in RDBMS Experience with ElasticSearch Experience in Solution Architecture. Proven experience with Git & CICD Bachelor's degree in Computer Science/Software Engineering. Good experience in distributed programming and building highly scalable application systems Nice to have - Experience working in FE (JS + React) Preferred Skills Expert in Python with Async Programming & Async Web Frameworks (FastAPI preferred) Experience in MongoDB and ElasticSearch Expert in Kubernetes What We Offer Generous Leave Benefits : Enjoy generous leave benefits of up to 40 days. Parental Leave : Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy : Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance : We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office *: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children *: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

Role & responsibilities Design, prototype, and deploy AI-driven applications leveraging LLMs (GPT-4, Perplexity, Claude, Gemini, etc.) and open-source transformer models. Lead or co-lead end-to-end AI/GenAI solutions : from data ingestion, entity extraction, and semantic search to user-facing interfaces. Implement RAG (Retrieval-Augmented Generation) architectures, knowledge grounding pipelines, and prompt orchestration logic. Fine-tune transformer models (BERT, RoBERTa, T5, LLaMA) on custom datasets for use cases like: Document understanding Conversational AI Question answering Summarization & Topic Modeling Integrate LLM workflows into scalable backend architectures with APIs and frontends. Work closely with business teams and pharma SMEs to translate requirements into GenAI solutions . Mentor junior engineers and contribute to AI capability development across the organization. Tech Stack & Skills Required Programming & Libraries : Python, FastAPI, LangChain, Pandas, PyTorch/TensorFlow, Transformers (HuggingFace), OpenAI SDK. Data Extraction & Processing : PDFMiner, PyMuPDF, Tabula, PyPDF2, Tesseract OCR, python-pptx. Gen AI / LLMs : OpenAI (GPT), Gemini, Perplexity, Cohere, DeepSeek, Mistral, LLaMA, BERT, RoBERTa, T5, Falcon. Use Cases : NER, Summarization, QA, Document Parsing, Clustering, Topic Modeling, QA over docs. Embedding & Vector Databases : Pinecone, FAISS, ChromaDB. RAG & Retrieval Pipelines : LangChain, Haystack, custom retrievers. Frontend/Backend Integration : React (preferred), FastAPI/Flask, REST/GraphQL APIs. Versioning & Deployment : Git, Docker, CI/CD (basic), cloud knowledge is a plus (AWS/GCP/Azure). Preferred candidate profile Degree in Computer Science, Engineering, Data Science, or related field (BE/BTech/MTech/MCA). 35 years of hands-on experience in AI/ML/NLP/LLM solution development. Strong understanding of GenAI, Prompt Engineering, LLM internals , and multi-layered data architectures. Exposure to pharma/healthcare domain is a significant plus. Excellent problem-solving skills, self-learner, and ability to work in cross-functonal teams. Experience developing new applications within an agile environment preferred. Ability to work independently and as part of a team. Exposure to MLOPs will be an added advantage.

We're Hiring: Python Developer (1+ Years Experience) Location: Silver Business Point, Utran, Surat Working Hours: 9:00 AM – 6:00 PM (Work From Office) About the Role: We are seeking a skilled Python Developer to join our growing team. This role is ideal for someone with a strong backend development background and a passion for building high-performance applications. You'll work in a collaborative environment where innovation and initiative are encouraged. Key Responsibilities: Develop backend applications using Python , Django , and FastAPI Build, maintain, and document RESTful APIs Work with both SQL and NoSQL databases Utilize Git for version control and ensure clean, maintainable code Requirements: Bachelor's degree in Computer Engineering, Information Technology , or a related field Strong written and verbal communication skills in English Minimum 1 year of experience in Python backend development Solid understanding of backend architecture and development best practices Why Join Us: We’re more than just a company — we’re a team driven by purpose and vision. Opportunity to work on innovative projects in a fast-paced environment A culture that supports continuous learning and professional growth Recognition and rewards for your contributions Competitive compensation for the right candidate If you're ready to grow with a visionary tech team, we want to hear from you. #PythonDeveloper #BackendDevelopment #Django #FastAPI #SuratJobs #ITJobs #CareerOpportunity