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We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities:Lead design and development of scalable backend services & APIs using Python and FastAPI.Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases.Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis).Structure and style internal interfaces effectively (HTML5, CSS3).Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents.Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone).Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling.Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation.Promote agile methodologies, conduct code reviews, and maintain high-quality documentation.Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions.Mentor junior engineers, contribute to technical strategy, and drive innovation.Job Requirements:Back-End Development (Required) -Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication.Proficient in leveraging ORMs, designing robust relational database schemas (PostgreSQL, MySQL), and effectively utilizing caching mechanisms like Redis.Working kn owledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform.DevOps & Software Engineering Practices (Required) -Expert in version control with Git and containerization using Docker.Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable.Proficient in agile development methodologies and conducting thorough, constructive code reviews.Front-End Development (Desired) -Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively.Good to Have Skills:AI/ML Integration -Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows.Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms.Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone).Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe). .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.