At https://jobeax.com/link/zZJkiqRMKprOecn8, we're redefining the future with AI-powered software solutions across education, recruitment, marketplaces, and more. We're looking for a passionate Python Developer who's ready to work on cutting-edge, scalable, cloud-native platforms and help build the next generation of AI-driven products.
Your Responsibilities Design, develop, and maintain robust Python applications. Build & consume RESTful and GraphQL APIs using industry best practices. Containerize microservices with Docker and collaborate on Kubernetes-based deployments. Implement background task queues using Celery, with smart retry and alerting mechanisms. Set up WebSocket consumers via Django Channels for real-time updates. Configure infrastructure on AWS (EC2, S3, RDS), and manage monitoring via CloudWatch. Write automated tests using pytest or unittest with 80% coverage. Integrate external services using webhooks (Stripe, Razorpay, etc.). Contribute to CI/CD pipelines and follow Git best practices. Participate in tech-talks, team learning sessions, and regular code reviews.
Required Qualifications
Bachelor's degree in Computer Science or related field.
2–5 years of experience in Python development.
Strong grip on Python standard libraries and tools (NumPy, etc.).
Experience with API design and integration (REST/GraphQL).
Hands-on with Docker and one major cloud platform (AWS or Azure).
Skilled in automated testing, Git workflows, and CI/CD practices.
Excellent communication and analytical thinking.
Nice to Have Experience with Django and Celery. Familiarity with AI/ML tools (TensorFlow, Keras, PyTorch). Understanding of ML concepts like neural networks & computer vision. Background in data analysis, statistics, or applied mathematics. Contributions to open-source projects are a plus!
Why Join Us Competitive compensation and perks Work on impactful, innovative AI applications A collaborative and learning-focused work culture Opportunity to grow alongside a high-performing tech team
... professional software engineering experience, including 3+ years of hands-on experience in AI, ML, Generative AI, or intelligent automation.- Strong proficiency in Python; C#, Java, TypeScript, or JavaScript is an advantage.- Strong knowledge of LLMs, Generative AI, Agentic AI, RAG, prompt engineering, embeddings, semantic search, ...
... professional software engineering experience, including 3+ years of hands-on experience in AI, ML, Generative AI, or intelligent automation.- Strong proficiency in Python; C#, Java, TypeScript, or JavaScript is an advantage.- Strong knowledge of LLMs, Generative AI, Agentic AI, RAG, prompt engineering, embeddings, semantic search, ...
... Experience - 5+ years of experience in AI/ML engineering, with 2+ years in Generative AI or LLM-based systems. - Strong proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers). - Hands-on expertise with cloud services (AWS Sagemaker, GCP Vertex AI, or Azure ML). - Experience ...
... performance optimization (token usage, caching), and system observability across CI/CD pipelines and cloud/on-prem environments.- Collaborate with Product Managers, AI/ML engineers, and business stakeholders to translate requirements into technical solutions.- Mentor junior developers and contribute to a culture of innovation ...
... Hands-on experience operating production ML/AI platforms — model versioning, reproducible jobs, and safe rollout/rollback in live environments. - Strong data engineering skills: streaming pipelines, schedulers, SQL, object storage, and data provenance/quality practices. - Proficiency in async Python and FastAPI for building ...
... Troubleshoot complex technical issues across AI applications and https://jobeax.com/link/pNYMYAcVgoA9do1S Skills : - 10-12 years of experience in software engineering, AI/ML engineering, or related technology roles.- Strong proficiency in Python.- Extensive experience with Machine Learning, Deep Learning, NLP, and Generative AI.- ...
Senior Full Stack Engineer – Python, Django, React, AI Location: Ahmedabad, Gujarat (Onsite only) Employment Type: Full-Time Experience: 3+ Years Domain: Finance | Microservices | AI-Driven Development About the Role: We are looking for a skilled and driven Full Stack Engineer to join our engineering team. In this role, ...
... improvement Preferred Requirements 3-5 years of software engineering experience with at least 1 year(s) experience in lead role Strong hands-on experience in Python and AI/ML frameworks Experience with LLMs, RAG pipelines, and AI application architecture Proficiency in APIs, microservices, and cloud platforms Strong problem-solving, ...
... experience. ~6+ years of professional experience in software engineering designing and building ML- driven products, with at least 3 years focused on production ML systems. ~ Fundamental knowledge of Data Engineering and extensive experience in developing and deploying ML models, as well as building and maintaining ML pipelines ...
... develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data scientists, and engineering teams to gather requirements and convert them into technical specifications for GenAI solutions.- Stay current with emerging trends and advancements in generative ...
... develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data scientists, and engineering teams to gather requirements and convert them into technical specifications for GenAI solutions.- Stay current with emerging trends and advancements in generative ...
... visual document understanding, and feature extraction from visual data.- Solid understanding of transformers, NLP, or LLM based architectures.- Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.- Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines.- ...
... assessments. Develop AI competency frameworks. Act as a technical advisor to engineering leadership. LLMs, Foundation Models, Agentic AI, RAG, Fine-tuning, Prompt Engineering AI Governance and Responsible AI Python, Java, Distributed Systems, Event-Driven Architecture, Microservices MLFlow, Azure ML, SageMaker, Model Lifecycle ...
... professional software engineering experience, including 3+ years of hands-on experience in AI, ML, Generative AI, or intelligent automation.- Strong proficiency in Python; C#, Java, TypeScript, or JavaScript is an advantage.- Strong knowledge of LLMs, Generative AI, Agentic AI, RAG, prompt engineering, embeddings, semantic search, ...
... retrieval-augmented generation (RAG) systems Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure ...
... Skills & Qualifications : - 6+ years of experience in AI/ML engineering, with 2+ years in a lead or senior technical capacity.- Strong programming skills in Python, with production experience in ML/AI systems.- Hands-on experience building LLM applications : chatbots, RAG systems, or generative AI products in production.- ...
... Partner with Product, Backend Engineering, Data, and Business teams to identify high-value opportunities for AI automation.- Own technical architecture and engineering quality for AI initiatives.Must-Have Skills :- 8+ years of professional software engineering experience.- Strong hands-on Python development experience.- ...
... speaker recognition. Language Understanding (LUIS): Building and training language models. Azure Bot Services: Integrating bots with cognitive capabilities. Azure AI Studio / OpenAI on Azure: Working with generative AI models. Security & Compliance: Managing keys, endpoints, and access control. Core Python: Data structures, ...