4097 Fastapi Jobs - Page 25

Job Title: Data Scientist majorly focused on Azure Foundry Engineer / Python Developer (AI/NLP) Location: Gurgaon (In-Office) Job Type: Full-time Experience Required: 5+ years (including at least 1 year in AI/NLP) About the Role: We are looking for an experienced Azure Foundry Engineer / Python Developer to join our AI team. The role involves backend Python development and working on AI/NLP systems in Azure environments. Ideal for candidates with a passion for building scalable and intelligent solutions. Key Responsibilities: Design and manage scalable cloud infrastructure using Azure Foundry Develop Python-based backend services for AI/NLP applications Integrate LLM APIs like OpenAI, Gemini, etc. Work with Agentic AI tools such as AutoGen and LangChain Automate AI/ML workflows and support CI/CD pipelines Build and deploy applications using FastAPI, Docker Handle prompt engineering, REST API design, and background tasks using Celery or RQ Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field 5+ years of backend development experience with Python At least 1 year of experience in AI/NLP projects on Azure Hands-on experience with Azure Foundry or similar platforms Proficiency in FastAPI, prompt engineering, LLMOps, and agent frameworks Familiar with scripting languages like Python, Bash, or PowerShell Experience with version control (Git), Docker, and monitoring tools Nice to Have: Knowledge of LangChain, LangGraph, or LLM toolchains Experience with chatbots, semantic search, or conversational UIs Understanding of vector databases and test-driven development (e.g., Pytest) About IGT Solutions : IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing end-to-end CX journeys across Travel and High Growth Tech industries. We have a global delivery footprint, spread across 30 delivery centers in China, Colombia, Egypt, India, Indonesia, Malaysia, Philippines, Romania, South Africa, Spain, UAE, the US, and Vietnam, with 25000+ CX and Technology experts from 35+ nationalities. IGT's Digital team collaborates closely with our customer’s business & technology teams to take solutions faster to market while sustaining quality while focusing on business value and improving overall end-Customer Experience Our offerings include industry solutions as well as Digital services. We work with leading global enterprise customers to improve synergies between business & technology by enabling rapid business value realization leveraging Digital Technologies. These include lifecycle transformation & rapid development / technology solution delivery services delivered leveraging traditional as well as Digital Technologies, deep functional understanding and software engineering expertise. IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC® Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

Cognio Labs is seeking a skilled Python Backend Engineer with expertise in FastAPI and a strong foundation in LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation) technologies. This role combines backend development with data science to help us process data for fine-tuning and training models. Core Technical Requirements Essential Skills: Strong proficiency in Python backend development (2+ years of experience). Experience developing and maintaining APIs using the FastAPI framework. Knowledge of asynchronous programming and background task implementation. Proficiency in database management (SQL and NoSQL databases, particularly MongoDB). Experience with Git version control systems. Understanding of RESTful API design and implementation. Additional Technical Skills: Experience with containerization technologies (Docker). Understanding of component-based architecture principles. Experience writing clean, maintainable, and testable code. Familiarity with testing frameworks and quality assurance practices. AI & Data Science Requirements Experience with LLMs and RAG implementation is highly valued. Knowledge of data processing for fine-tuning language models. Understanding of data manipulation and analysis using Python libraries (Pandas, NumPy). Familiarity with AI technologies like LangChain, ChatGPT endpoints, and other LLM frameworks. Ability to implement and optimize machine learning workflows. Key Responsibilities Design, develop, and maintain robust, scalable APIs using the FastAPI framework. Process and prepare data for fine-tuning and training language models. Implement background tasks and asynchronous processing to optimize system performance. Develop and integrate LLM and RAG-based solutions into our product ecosystem. Write efficient, maintainable code following industry best practices. Collaborate with team members on code reviews and knowledge sharing. Work with databases to design and implement data models and queries. Troubleshoot and debug issues in the existing codebase. Stay current with emerging technologies in Python development, LLMs, and data science.

We are building autonomous agents for business workflows, and we’re looking for a LangChain + DevOps Engineer to build smart, scalable pipelines. 🧠Tech stack: n8n, LangChain, LangGraph, FastAPI, AWS, CI/CD (Bonus: RAG pipelines, vector DBs, LLM deployment, observability) 🌐Remote-first | Relocation to Tokyo is optional 💰 Salary: USD 30-40k per year converted to local currency + possible equity 🚀Status: Hiring immediately 👥 Team CEO: ex-McKinsey | Indian Institute of Technology, Delhi | Based in Tokyo. CTO: Indian Institute of Technology, Bombay | 10+ yrs SWE experience | Based in California. + Full-time elite engineers from IIT Bombay/Delhi. Global team spanning Tokyo, California, and Bangalore (5+ nationalities) You’ll: Build agent-based workflows in LangChain , LangGraph , and n8n Own CI/CD , cloud infra, and deployment (preferably on AWS) Ship and scale agents solving real enterprise problems DM me if you: Have shipped complex AI workflows Love working async with high ownership Want to build automation agents that matter Let’s create intelligent agents for the future.

Job Title: AI/ML Engineer (Python + AWS + REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview: Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 3–5 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share resume to kratika.vijaywargiya@advantal.net

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 2 years Location: Remote (India) JobType: full-time About The Role We’re on the lookout for a driven Generative AI Engineer with hands-on experience in natural language processing and large language models. In this role, you'll be at the forefront of shaping conversational AI experiences—chatbots, intelligent reporting agents, campaign QAs—within a dynamic, data-driven advertising platform. You’ll get to work with state-of-the-art frameworks like LangGraph , LangChain , OpenAI APIs , and Hugging Face Transformers , helping us design smarter, more human-like interfaces that power decisions, insights, and automation for marketing teams. What You’ll Do Build and deploy generative AI applications using LLMs , including GPT-series models, with frameworks like LangChain , LangGraph , and Hugging Face . Develop AI agents for use cases like campaign QA, performance analytics, and intelligent prompt-based reporting assistants. Create and integrate backend chatbot layers using Python and Django (or Flask/FastAPI), ensuring seamless integration with the platform UI. Design and maintain scalable NLP pipelines with a focus on latency , cost-efficiency , and robust performance . Collaborate closely with data scientists, product managers, and marketing ops to refine AI use cases and deploy production-ready solutions. Monitor AI model behavior, run evaluations, and ensure fairness, consistency, and quality across outputs. Maintain technical documentation, testing workflows, and API contracts. What You Bring Experience : Minimum 2 years working in NLP or generative AI, preferably on customer-facing applications. Core Skills : Proficient in Python Hands-on with LangChain , LangGraph , OpenAI APIs , and Hugging Face Solid understanding of LLM architecture, prompt design, fine-tuning, and inference Backend Development : Proven experience building chatbot services or interactive tools using Django , Flask , or equivalent frameworks. Software Engineering Best Practices : Clean, modular code with unit tests, version control, and documentation. Team Fit : Strong written and verbal communication; proactive in cross-functional collaboration. Nice-to-Have Background in programmatic advertising , DSPs , or marketing automation . Experience with cloud infrastructure (AWS/GCP/Azure) for hosting and scaling AI workloads. Familiarity with Docker , Kubernetes , or MLOps pipelines for model deployment and maintenance.

AI Engineer Location: Hyderabad (On-site/Hybrid) Company: Deccan AI Employment Type: Full-Time Experience: 1–3 Years About Deccan A IDeccan AI is at the forefront of building advanced AI solutions for real-world applications. We’re passionate about pushing the boundaries of artificial intelligence, natural language processing, and intelligent agent systems. Join us and work alongside a team that values innovation, ownership, and continuous learning . Job Summa ryAs an AI Engineer at Deccan AI, you’ll work on designing, developing, and deploying state-of-the-art multi-agent systems, retrieval-augmented generation (RAG) pipelines, and cutting-edge NLP chatbots. You’ll be hands-on with large language model (LLM) fine-tuning, prompt and context engineering, and have a strong influence on both technical direction and product outcome s. Key Responsibilit iesDesign, build, and optimize multi-agent AI systems for diverse use cas es.Develop RAG pipelines and integrate them with conversational AI solutio ns.Fine-tune and deploy LLMs for various domain-specific tasks and applicatio ns.Engineer prompts and contextual data flows to maximize model performance and accura cy.Collaborate with cross-functional teams (product, engineering, design) to deliver robust and scalable AI produc ts.Contribute to architecture and system design discussions for production-ready AI servic es.Stay up-to-date with the latest trends in AI, NLP, and LLM resear ch.Write clean, efficient, and well-documented Python co de. Requirem entsStrong at machine learning conc epts1+ years of hands-on experience building agent-based AI systems and RAG pipeli nes.1–2 years of experience in fine-tuning and deploying large language models (LL Ms).Strong understanding of NLP algorithms and frameworks, including Transformers, BERT, etc.Proficiency in Python and experience with libraries such as PyTorch and HuggingF ace.Solid grasp of system design principles and scalable ML architectu res.Strong problem-solving skills, attention to detail, and a collaborative mind set. Bonus S killsExperience with FastAPI for API develop ment.Hands-on with Docker for containerization and deploy ment. What We OfferCompetitive compens ation: Best-in-industry salary and e quity.Comprehensive ben efits: Health insurance, wellness perks, flexible paid tim e off.Learning cu lture: Access to conferences, courses, and mento rship.Modern work enviro nment: Hybrid flexibility, world-class infrastructure, and high-impact pro jects.Career g rowth: Fast-track opportunities to leadership roles and new technol ogies. Reporting &am p; TeamYou will report directly to the AI Lead and collaborate closely with engineers, product managers, and data scientists across teams.Challenges & Opport unitiesAt Deccan AI, you’ll tackle some of the most exciting problems in multi-agent systems and NLP. Expect to work with the latest LLMs and RAG architectures, help shape products from scratch, and see your contributions deployed in real-world applic ations.

Job Title: Junior Python Developer Experience : 2-3YR. Location: Chennai. Budget: 7LPA Notice period: 15days. Skills set: Python development, astAPI or similar Python web frameworks, PostgreSQL, MongoDB, Git. troubleshooting. Key Responsibilities: Develop and maintain Python scripts for automating tasks and supporting internal operations. Assist in building Python applications using FastAPI and other web technologies. Contribute to the management and optimization of scripts for efficient data loads. Collaborate with senior developers and cross-functional teams to implement features and services. Participate in code reviews and ensure adherence to best coding practices. Assist in debugging and troubleshooting application issues. Contribute to testing and validating code to ensure functionality and performance. Document development work, processes, and code changes. Continuously learn and stay updated with emerging technologies and industry trends

Immediate Openings for Senior Python Developer Skills:Python,Fast API, ML/DL Modules, CI/CD, AWS/Azure Exp:5-6yrs Location: Bangalore Interested candidates can share their profiles with Pranitha.d@growthgamut.com

Compensation: Up to $300,000 USD annually + Equity Type: Full-time | Remote We're looking for a Senior Python Backend Engineer to help build infrastructure powering real-time AI workflows and ML pipelines. You’ll work on high-availability systems and collaborate with a global team of engineers and researchers. Responsibilities: Build and optimize backend APIs and services for AI products Integrate with task queues, model inference APIs, and vector search systems Ensure system reliability and scalability across deployments Requirements: 5+ years of Python backend development Experience with FastAPI or Django, PostgreSQL, Celery, Redis Familiarity with LLM infrastructure, data orchestration, or AI tools is a big plus Strong problem-solving, documentation, and testing practices

Mandate Skill set – Core Python Development and real time experience in Azure services( MSSQL, Azure functions, Blob, Queue, EventHub, Key Vault, Cosmos DB, Azure Event Grid / Service Bus EKS, Assure container instances, Agile, Jira) Max Budget – 23 LPA Experience – 7+years Notice Period – Immediate to 15days Work Location – Remote (Kerala/Tamilnadu/bangalore) Job Purpose (both Onsite / Offshore) We are seeking a Lead Python Developer + Azure to join our dynamic team. The ideal candidate will have a strong background in Python programming. Sound understanding on we application development, with a focus on utilizing Azure services for building scalable and efficient solutions. Responsible for delivering senior-level innovative, compelling, coherent software solutions for our consumer, internal operations, and value chain constituents across a wide variety of enterprise applications through thecreation of discrete business services and their supporting components. Job Description / Duties And Responsibilities ▪ Design, develop and deliver solutions that meet business line and enterprise requirements. ▪ Lead a team of Python developers, providing technical guidance, mentorship, and support in project execution. ▪ Participates in rapid prototyping and POC development efforts. ▪ Advances overall enterprise technical architecture and implementation best practices. ▪ Assists in efforts to develop and refine functional and non-functional requirements. ▪ Participates in iteration and release planning. ▪ Performs functional and non-functional testing. ▪ Informs efforts to develop and refine functional and non-functional requirements. ▪ Demonstrates knowledge of, adherence to, monitoring and responsibility for compliance with state andfederal regulations and laws as they pertain to this position. ▪ Strong ability to produce high-quality, properly functioning deliverables the first time. ▪ Delivers work product according to established deadlines. ▪ Estimates tasks with a level of granularity and accuracy commensurate with the information provided. ▪ Works collaboratively in a small team. ▪ Excels in a rapid iteration environment with short turnaround times. ▪ Deals positively with high levels of uncertainty, ambiguity, and shifting priorities. ▪ Accepts a wide variety of tasks and pitches in wherever needed. ▪ Constructively presents, discuss and debates alternatives. ▪ Takes shared ownership of the product. ▪ Communicates effectively both verbally and in writing. ▪ Takes direction from team leads and upper management. ▪ Ability to work with little to no supervision while performing duties. Skills and Competencies ▪ Architect, design, and implement high-performance and scalable Python back-end applications. ▪ Proficient in Python programming language to develop backend services and APIs. ▪ Experience with any web frameworks such as FastAPI/Flask/Django for building RESTful APIs. ▪ Experience in Azure services such as Azure functions, Blob, Queue, EventHub, Key Vault, Cosmos DB, Azure Event Grid / Service Bus,EKS, Assure container etc ▪ Basic understanding on Azure services such as Azure functions, Blob, Queue, EventHub, Key Vault, Cosmos DB, Azure Event Grid / Service Bus,EKS, Assure container etc ▪ ▪ Knowledge in Implementing authentication and authorization mechanisms using AWS Cognito and other relevant services. ▪ Good understanding on databases Including PostgreSQL, MongoDB, AWS Aurora, DynamoDB. ▪ Experience in automated CI/CD implementation using terraform is required. ▪ Deep understanding of one or more source/version control systems (GIT/Bitbucket). ▪ Develops branching andmerging strategies. ▪ Working understanding of Web API, REST, JSON etc. ▪ Working understanding of unit testing creation. ▪ Bachelor’s Degree is required, and/or a minimum of four (5) + related work experience. ▪ To adhere to the Information Security Management policies and procedures.

Company Profile: Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape. Job Title: Data Scientist/ Sr. Data Scientist Location & Timings: Kalyani Nagar, Pune, Hybrid Education Qualification: Bachelor’s or Master’s Degree in Computer Science, Mathematics, Engineering, or related discipline. Job Description: We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If you’re passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities: Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB. Key Requirements: Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture. If Interested, Please share your resume at aayush.kumar@solytics-partners.com

Role Senior Python Developer Location : Chennai Experience : 3-8Yrs Expert-level Python skills with strong grasp of OOP, async patterns, and performance optimization Demonstrated ability to work independently and take full ownership of projects Strong portfolio (public GitHub or equivalent projects) Familiarity with at least one other programming language (e.g., JavaScript, Rust, Go, C++, etc.) Solid understanding of software engineering principles, testing, and clean code practices Preferred Skills Experience with agentic AI tools (LangChain, CrewAI, AutoGen, LangGraph, etc.) Familiarity with deep learning frameworks (PyTorch, TensorFlow) or model serving platforms Working knowledge of Docker, FastAPI, or microservices-based architecture Exposure to cloud deployment (AWS/GCP), message queues (RabbitMQ/Kafka), or vector databases About the Role We’re looking for a highly skilled and efficient Python engineer who can independently own and drive complex projects from concept to deployment. You’ll be working in a fast-paced environment where autonomy, precision, and clarity of thought are key. A strong public GitHub or equivalent portfolio is highly preferred.

Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects. Key Tools and Frameworks • Programming Languages – Python (FastAPI, Flask, Django) • Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch • Data Pipelines – Pandas, Spark, Airflow • Model Deployment – FastAPI, Flask, Docker, MLflow • Cloud Platforms – AWS, GCP, Azure (any one) • Version Control – Git Key Responsibilities • Design and develop machine learning models to address business requirements. • Build and manage data pipelines for training and inference workflows. • Train, evaluate, and optimise models for accuracy and performance. • Deploy models in production environments using containerised solutions. • Work with structured and unstructured data from various sources. • Ensure robust monitoring, retraining, and versioning of models. • Contribute to architecture and design discussions for AI/ML systems. • Document processes, results, and deployment procedures clearly. • Collaborate with software engineers, data engineers, and business teams. Required Skills and Qualifications • 4+ years of hands-on experience delivering ML solutions in production environments. • Strong programming skills in Python and deep understanding of ML fundamentals. • Experience with supervised and unsupervised learning, regression, classification, and clustering techniques. • Practical experience in model deployment and lifecycle management. • Good understanding of data preprocessing, feature engineering, and model evaluation. • Experience with APIs, containers, and cloud deployment. • Familiarity with CI/CD practices and version control. • Ability to work independently and deliver results in fast-paced projects. • Excellent English communication skills for working with distributed teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MSBC Group has been a trusted technology partner for over 20 years, delivering the latest systems and software solutions for financial services, manufacturing, logistics, construction, and startup ecosystems. Our expertise includes Accessible AI, Custom Software Solutions, Staff Augmentation, Managed Services, and Business Process Outsourcing. We are at the forefront of developing advanced AI-enabled services and supporting transformative projects. Operating globally, we drive innovation, making us a trusted AI and automation partner.

Job Description We are seeking a skilled Generative AI Engineer with a strong background in Python to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions. If you excel in a fast-paced environment and enjoy tackling complex challenges, we encourage you to apply. Key Responsibilities Generative AI Development Develop and implement generative AI models using frameworks like LangChain or Llama-Index. Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches. Work with embeddings and build solutions that leverage similarity search for personalized query resolution. Explore and process multimodal data, including image and video understanding and generation. Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. Design and implement RESTful APIs for seamless communication between systems and services. Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows. Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code. Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workflows. Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. Leverage containerization tools such as Docker for efficient and reproducible deployments. Ensure security and scalability of backend systems with adherence to industry best practices. Qualifications Essential: Strong Programming Skills: Proficiency in Python and experience with backend frameworks like FastAPI, Django, or Flask. Generative AI Expertise: Knowledge of frameworks like LangChain, Llama-Index, or similar tools, with experience in prompt engineering and Retrieval-Augmented Generation (RAG). Data Management: Hands-on experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for embeddings and similarity search. Machine Learning Knowledge: Familiarity with LLMs, embeddings, and multimodal AI applications involving text, images, or video. Deployment Experience: Proficiency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability. Testing and Debugging: Strong skills in writing and managing unit and integration tests (e.g., Pytest), along with application debugging and performance optimization. Asynchronous Programming: Understanding of asynchronous programming concepts for handling concurrent tasks efficiently. Preferred Cloud Proficiency: Familiarity with platforms like AWS, GCP, or Azure, including serverless applications and VM setups. Frontend Basics: Understanding of HTML, CSS, and optionally JavaScript frameworks like Angular or React for better collaboration with frontend teams. Observability and Monitoring: Experience with observability tools to track and evaluate LLM performance in real-time. Cutting-Edge Tech: Awareness of trends in generative AI, including multimodal AI applications and advanced agentic workflows. Security Practices: Knowledge of secure coding practices and backend system hardening. Certifications: Relevant certifications in AI, machine learning, or cloud technologies are a plus. Skills: postgresql,rag,prompt engineering,integration testing,genai,llama-index,langchain,flask,weaviate,asynchronous programming,unit testing,docker,fastapi,pinecone,multimodal ai applications,django,gcp,mysql,llm,supabase,observability tools,aws,retrieval-augmented generation (rag),pgvector,azure,python

Job Description We are seeking a skilled Generative AI Engineer with a strong background in Python to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions. If you excel in a fast-paced environment and enjoy tackling complex challenges, we encourage you to apply. Key Responsibilities Generative AI Development Develop and implement generative AI models using frameworks like LangChain or Llama-Index. Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches. Work with embeddings and build solutions that leverage similarity search for personalized query resolution. Explore and process multimodal data, including image and video understanding and generation. Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. Design and implement RESTful APIs for seamless communication between systems and services. Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows. Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code. Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workflows. Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. Leverage containerization tools such as Docker for efficient and reproducible deployments. Ensure security and scalability of backend systems with adherence to industry best practices. Qualifications Essential: Strong Programming Skills: Proficiency in Python and experience with backend frameworks like FastAPI, Django, or Flask. Generative AI Expertise: Knowledge of frameworks like LangChain, Llama-Index, or similar tools, with experience in prompt engineering and Retrieval-Augmented Generation (RAG). Data Management: Hands-on experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for embeddings and similarity search. Machine Learning Knowledge: Familiarity with LLMs, embeddings, and multimodal AI applications involving text, images, or video. Deployment Experience: Proficiency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability. Testing and Debugging: Strong skills in writing and managing unit and integration tests (e.g., Pytest), along with application debugging and performance optimization. Asynchronous Programming: Understanding of asynchronous programming concepts for handling concurrent tasks efficiently. Preferred Cloud Proficiency: Familiarity with platforms like AWS, GCP, or Azure, including serverless applications and VM setups. Frontend Basics: Understanding of HTML, CSS, and optionally JavaScript frameworks like Angular or React for better collaboration with frontend teams. Observability and Monitoring: Experience with observability tools to track and evaluate LLM performance in real-time. Cutting-Edge Tech: Awareness of trends in generative AI, including multimodal AI applications and advanced agentic workflows. Security Practices: Knowledge of secure coding practices and backend system hardening. Certifications: Relevant certifications in AI, machine learning, or cloud technologies are a plus. Skills: retrieval-augmented generation,postgresql,pinecone,observability tools,prompt engineering,docker,weaviate,asynchronous programming,python,azure,gcp,langchain,unit testing,aws,flask,fastapi,celery,llama-index,supabase,llm,pgvector,mysql,django,generative ai,integration testing

🚀 We're Hiring Full Stack Web Developers 📍 Remote (prefer time zone overlap with Australia/India) 🕒 Full-time - Contract Role | Early-Stage Startup 👥 Team: 7Ronin at Unplex Me Company Description At Unplex Me , we’re reimagining e-Learning and how knowedge workers acquire and use knowledge to solve real world problems. We are building a groundbreaking platform where visual thinking and problem-solving converge with Generative AI. Our platform equips individuals and organizations with skills in visual thinking, collaboration, creativity, and deep work tailored for the Gen AI era. Our new platform is in private beta, and we want passionate developers to join our team to take us to the next levels of success. Role Description This is a contract-based, remote role for a Full Stack Web Developer. We are looking for developers who have experience and are passionate about building interactive experiences. This role will be responsible for both front-end and back-end development tasks and will leverage a variety of cloud native platforms and tools to create AI-Native application experiences. The individual will work on developing, testing, and deploying new website features, ensuring scalability and performance. Daily tasks will include programming, coding, and implementing web design practices to create a seamless user experience. Any experience working on mobile and touch-enabled devices would be viewed favourably. Qualifications 2+ years experience building modern web apps (personal or professional) Strong React/JavaScript/HTML/CSS skills Strong NextJS/NodeJS, MongoDB Skills Python, FastAPI experience will be useful Any experience building AI Apps, LangChain, LangGraph, OpenAI API, CrewAI etc. will be advantageous Experience with responsive and touch-first designs will be considered favourably Overall, you need to be proficient in Full Stack Web Development You should be comfortable learning fast, shipping often, and jumping between layers of the stack Bonus: experience with canvas UIs, animations, or gamified interfaces Strong problem-solving skills and ability to think creatively Bonus: worked in a startup or self-taught/self-motivated learning journey Why Join Us ✨ Build category-defining AI software that fuses visual thinking + gamified learning experiences ✨ Get true ownership of features ✨ Small team, fast feedback loops, big learning curve ✨ Contribute to a mission that helps other builders and founders thrive

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of ML/DL R&D Engineer For Details Contact: hr-cybersecurity@am.amrita.edu Job Title ML/DL R&D Engineer Location Kollam, Kerala Job description Join our research-driven team to develop tools for robustness and fairness testing in AI models, integrating ML/DL research with practical backend development for scalable deployments at Center for Cybersecurity Systems and Networks Key Responsibilities Research and implement adversarial ML techniques (e.g., FGSM, PGD, DeepFool) to test model robustness. Design and run evaluation pipelines that probe AI models for toxic outputs, bias, or misinformation propagation, using established LLM auditing frameworks or evaluation methods. Build scalable, production-ready APIs and tools for model evaluation using FastAPI and Docker. Integrate with libraries and frameworks like IBM ART, Foolbox, and CleverHans. Automate ML testing pipelines with continuous integration/deployment. Maintain reproducible, well-documented code and experiments in a collaborative Git-based environment. Ensure robustness tools are optimized and compatible with Linux-based systems. Required Skills Machine Learning / Deep Learning Strong grasp of ML/DL fundamentals and hands-on experience with PyTorch and TensorFlow. Familiarity with adversarial ML concepts: evasion, poisoning, extraction, etc. Familiarity with fundamentals of LLMs and LLM safety evaluations and auditing. Backend Engineering Proficient in building and deploying APIs with FastAPI or equivalent. Hands-on experience with Docker, Git, Linux shell environments. Familiarity with relational databases such as PostgreSQL, MySQL, or SQLite, including basic querying and integration with backend systems. Others: Strong analytical and problem-solving skills. Ability to work independently in a research + engineering hybrid environment. Strong written communication for documentation and reporting. Last date to apply July 31, 2025

202505106 Gurugram, Haryana, India Bevorzugt Description The Role: Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required. Build and maintain data analysis workflows using Pandas for data transformation and insight delivery. Develop RESTful APIs using FastAPI or Flask for data and document management. Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows. Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments. Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions. Write unit tests and contribute to CI/CD pipelines for robust, production-ready code. Stay up to date with advances in Python, LLM, and cloud technologies. Qualifications Qualifications: Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline. Experience: 6 to 9 years of hands-on experience in data engineering or backend development with Python. Technical Competencies: Exposure to LLM integration (prompt design, API integration, handling text data). Strong experience in Python with focus on data analysis (Pandas) and scripting. Hands-on experience in building REST APIs (FastAPI or Flask). Experience in developing data pipelines, data cleaning, and transformation. Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.) (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Software Engineer-MLOps We are seeking an enthusiastic and detail-oriented MLOps Engineer to support the development, deployment, and monitoring of machine learning models in production environments. This is a hands-on role ideal for candidates looking to grow their skills at the intersection of data science, software engineering, and DevOps. You will work closely with senior MLOps engineers, data scientists, and software developers to build scalable, reliable, and automated ML workflows across cloud platforms like AWS and Azure Key Responsibilities include: Assist in building and maintaining ML pipelines for data preparation, training, testing, and deployment Support the automation of model lifecycle tasks including versioning, packaging, and monitoring Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage) Assist with containerizing ML models using Docker, and deploying using Kubernetes or cloud-native orchestrators Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation Participate in implementing CI/CD pipelines for ML workflows using GitHub Actions, Azure DevOps, or Jenkins Contribute to testing frameworks for ML models and data validation (e.g., pytest, Great Expectations). Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation Participate in diagnosing issues related to model accuracy, latency, or infrastructure bottlenecks Continuously improve knowledge of MLOps tools, ML frameworks, and cloud practices. Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in Devops, with 2+ years in MLOps. Good Understanding of MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git. Proficient in Python and familiar with bash scripting Exposure to MLOps platforms or tools such as SageMaker Studio, Azure ML, or GCP Vertex AI. Requisition ID: 610751 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Senior Software Engineer-MLOps We are looking for a highly skilled Senior Software Engineer – MLOps with deep expertise in building and managing production-grade ML pipelines in AWS and Azure cloud environments. This role requires a strong foundation in software engineering, DevOps principles, and ML model lifecycle automation to enable reliable and scalable machine learning operations across the organization Key Responsibilities include: Design and build robust MLOps pipelines for model training, validation, deployment, and monitoring Automate workflows using CI/CD tools such as GitLab Actions, Azure DevOps, Jenkins, or Argo Workflows Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage) Design secure and cost-efficient ML architecture leveraging cloud-native services Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation Implement cost optimization and performance tuning for cloud workloads Package ML models using Docker, and orchestrate deployments with Kubernetes on EKS/AKS Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation Integrate observability tools for model performance, drift detection, and lineage tracking (e.g., Fiddler, MLflow, Prometheus, Grafana, Azure Monitor, CloudWatch) Ensure model reproducibility, versioning, and compliance with audit and regulatory requirements Collaborate with data scientists, software engineers, DevOps, and cloud architects to operationalize AI/ML use cases Mentor junior MLOps engineers and evangelize MLOps best practices across teams Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 10 years in Devops, with 2+ years in MLOps. Proficient with MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git. Experience with feature stores (e.g., Feast), model registries, and experiment tracking. Proficiency in Devops & MLOps, Automation Cloud formation/Teraform/BICEP Requisition ID: 610750 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

As a Full Stack Developer with a focus on Python-based backend development, you will be responsible for designing, building, and maintaining scalable backend services using Python and FastAPI. You will also be involved in developing clean, modular, and maintainable frontend applications using React and React Native Web. Additionally, you will implement RESTful and GraphQL APIs with authentication layers such as OAuth2 and JWT. Collaboration with cross-functional teams to define, design, and ship new features will be a key aspect of your role. Participating in code reviews, architecture discussions, and performance tuning will help ensure the quality of the applications. You will be expected to prioritize security, scalability, and reliability while also writing and maintaining technical documentation. The ideal candidate will have at least 3 years of strong proficiency in Python and experience with FastAPI, REST API development, OAuth2 & JWT authentication, Alembic, Pydantic, and GraphQL on the backend stack. On the frontend stack, proficiency in React, React Native Web, Redux & RTK Query, TypeScript, Tailwind CSS, WebSockets, Expo, React Navigation, and Vite will be required. Preferred attributes for this role include strong problem-solving skills, attention to detail, experience in hybrid or mobile-first application design, prior work in agile development environments, and the ability to communicate clearly with both technical and non-technical stakeholders. This is a hybrid work model position, requiring 3 days onsite in Bangalore and 2 days remote work. The contract duration is 6 months with the possibility of conversion to a full-time role. The interview process will be conducted via video with multiple rounds. If you are enthusiastic about working on meaningful products using modern frameworks and tools, and are interested in transitioning to a full-time role after proving your capabilities, we invite you to apply for this exciting opportunity.,

We are seeking talented and experienced individuals to join our engineering team in the roles of Staff Development Engineer and Senior Software Development Engineer (SDE 3). As a member of our team, you will be responsible for taking ownership of complex projects, designing and constructing high-performance, scalable systems. In the role of SDE 3, you will play a crucial part in ensuring that the solutions we develop are not only robust but also efficient. This is a hands-on position that requires you to lead projects from concept to deployment, ensuring the delivery of top-notch, production-ready code. Given the fast-paced environment, strong problem-solving skills and a dedication to crafting exceptional software are indispensable. Your responsibilities will include: - Developing high-quality, secure, and scalable enterprise-grade backend components in alignment with technical requirements specifications and design artifacts within the expected time and budget. - Demonstrating a proficient understanding of the choice of technology and its application, supported by thorough research. - Identifying, troubleshooting, and ensuring the timely resolution of software defects. - Participating in functional specification, design, and code reviews. - Adhering to established practices for the development and upkeep of application code. - Taking an active role in diminishing the technical debt across our various codebases. We are looking for candidates with the following qualifications: - Proficiency in Python programming and frameworks such as Flask/FastAPI. - Prior experience in constructing REST API-based microservices. - Excellent knowledge and hands-on experience with RDBMS (e.g., MySQL, PostgreSQL), message brokers, caching, and queueing systems. - Preference for experience with NoSQL databases. - Ability for Research & Development to explore new topics and use cases. - Hands-on experience with AWS services like EC2, SQS, Fargate, Lambda, and S3. - Knowledge of Docker for application containerization. - Cybersecurity knowledge is considered advantageous. - Strong technical background with the ability to swiftly adapt to emerging technologies. - Desired experience: 5-13 years in Software Engineering for Staff or SDE 3 roles. Working Conditions: This role necessitates full-time office-based work; remote work arrangements are not available. Company Culture: At Fortinet, we uphold a culture of innovation, collaboration, and continuous learning. We are dedicated to fostering an inclusive environment where every employee is valued and respected. We encourage applications from individuals of all backgrounds and identities. Our competitive Total Rewards package is designed to assist you in managing your overall health and financial well-being. We also offer flexible work arrangements and a supportive work environment. If you are looking for a challenging, fulfilling, and rewarding career journey, we invite you to contemplate joining us and contributing solutions that have a meaningful and enduring impact on our 660,000+ global customers.,

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources, and opportunities to unleash their full potential. The power we create together when we combine your strengths with ours is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big We Need You. **Job Title:** Junior Data Scientist **Location:** Bangalore **Reporting to:** Senior Manager - Analytics **Purpose of the role:** The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of LLM-based frameworks, tools, and technologies, cloud-native technologies and solutions, and microservices-based software architecture and design patterns. As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. **Key tasks & accountabilities:** **Large Language Models (LLM):** - Experience with LangChain, LangGraph - Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler **Multi-modal Retrieval-Augmented Generation (RAG):** - Expertise in multi-modal AI systems (text, images, audio, video) - Designing and optimizing chunking strategies and clustering for large data processing **Streaming & Real-time Processing:** - Experience in audio/video streaming and real-time data pipelines - Low-latency inference and deployment architectures **NL2SQL:** - Natural language-driven SQL generation for databases - Experience with natural language interfaces to databases and query optimization **API Development:** - Building scalable APIs with FastAPI for AI model serving **Containerization & Orchestration:** - Proficient with Docker for containerized AI services - Experience with orchestration tools for deploying and managing services **Data Processing & Pipelines:** - Experience with chunking strategies for efficient document processing - Building data pipelines to handle large-scale data for AI model training and inference **AI Frameworks & Tools:** - Experience with AI/ML frameworks like TensorFlow, PyTorch - Proficiency in LangChain, LangGraph, and other LLM-related technologies **Prompt Engineering:** - Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting - Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy - Strong understanding of context window management and optimizing prompts for performance and efficiency **Qualifications, Experience, Skills:** **Level of educational attainment required (1 or more of the following):** - Bachelor's or master's degree in Computer Science, Engineering, or a related field. **Previous Work Experience Required:** - Proven experience of 1+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. **Technical Skills Required:** - Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. - Proficiency in implementing and optimizing machine learning models for natural language processing. - Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. - Strong programming skills in languages such as Python and proficiency in relevant frameworks. - Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create a future with more cheer.,

Job Summary We are looking for a skilled Python Developer with 3-4 years of experience, specializing in FastAPI and Microservices architecture. The ideal candidate should have strong backend development skills, expertise in building scalable APIs, and experience working with distributed systems. Key Responsibilities Develop, test, and maintain scalable backend applications using Python and FastAPI. Design and implement microservices-based architectures for high-performance applications. Develop and optimize RESTful APIs and asynchronous services. Work with databases like PostgreSQL, MySQL, or MongoDB, ensuring efficient queries and indexing. Implement authentication, authorization, and security best practices in APIs. Integrate third-party services and APIs as needed. Write clean, maintainable, and well-documented code following industry best practices. Collaborate with frontend developers, DevOps, and other stakeholders to ensure smooth project execution. Optimize system performance, scalability, and reliability. Work with Docker, Kubernetes, and CI/CD pipelines for deployment and automation. Monitor, troubleshoot, and resolve application issues in a timely Skills & Qualifications : 2-3 years of experience in Python backend development. Strong experience with FastAPI (or Flask/Django with a willingness to switch). Hands-on experience in Microservices architecture. Proficiency in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, or Redis). Experience with Celery, RabbitMQ, or Kafka for asynchronous processing. Knowledge of containerization using Docker and Kubernetes. Experience working with authentication mechanisms (JWT, OAuth, API Keys). Good understanding of asynchronous programming and event-driven architectures. Strong problem-solving and debugging skills. Proficiency in Git and version control to Have : Experience with GraphQL. Exposure to AWS, GCP, or Azure cloud services. Understanding of WebSockets and real-time applications. Experience with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI. Knowledge of unit testing and test-driven development (TDD). (ref:hirist.tech)

Title : React Fullstack Developer Location : Bangalore, Hyderabad (Hybrid) Timings : Full Time (As per company timings) Shift Timings : 5.30 AM IST to 2.30PM IST Notice Period : (Immediate Joiner - Only) Key Responsibilities Architect and build responsive and performant UIs using ReactJS, TypeScript/JavaScript Design and implement component-based architectures using Redux, Context API, or React Query Collaborate closely with design and product teams to translate wireframes and mockups into high-quality code Implement frontend testing strategies using Jest, React Testing Library, or similar Optimize applications for speed, accessibility, and cross-browser compatibility Design, build, and maintain RESTful APIs and/or GraphQL endpoints using Django, Flask, or FastAPI Develop scalable backend services with focus on modularity, reusability, and testability Manage integrations with third-party APIs, services, and databases (PostgreSQL, MySQL, MongoDB) Implement authentication and authorization frameworks (OAuth2, JWT, etc.) Monitor and enhance application performance and scalability Contribute to sprint planning, backlog grooming, and retrospectives Maintain technical documentation for internal and external consumption Required Qualifications 6+ years of hands-on experience in full-stack development, with strong focus on ReactJS and Python Expertise in building and consuming RESTful APIs Solid experience in ReactJS, Redux/Context API, Hooks, and functional components Proficiency with Python web frameworks like Flask, FastAPI, or Django Strong understanding of relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB) Good experience with Docker, Git, and modern CI/CD workflows Familiarity with system design, microservices, caching strategies, and asynchronous processing Excellent communication and leadership skills (ref:hirist.tech)