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Posting ID - 1719-1 - Software Development Engineer 3 Location: Hyderabad Experience: 5-8 Years Quantity - 1 THE ROLE We are seeking a highly skilled Senior Software Engineer for a contract role to accelerate AI and Machine Learning initiatives within our Test Software and Infrastructure team. You will be brought in to design, build, and deploy custom ML models, autonomous AI agents, and agentic workflows from the ground up. This is a hands-on, execution-focused role where you will have the chance to deliver high-impact automated systems that transform our FPGA testing and development cycles. 5-8 Years of Experience KEY RESPONSIBILITIES - Design, develop, and deploy autonomous AI agents and multi-agent workflows to automate complex infrastructure tasks, test generation, and failure triage. - Build, train, and implement custom Machine Learning models tailored to our testing environment (e.g., anomaly detection, predictive analytics, and test optimization). - Architect scalable internal tools that integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) into our existing engineering ecosystem. - Connect AI agents and ML models to our core data pipelines and databases (Snowflake, MySQL) to ensure they have access to accurate, real-time data. - Write robust, production-ready code primarily in Python, while interfacing front-end interfaces and AECG software tools. - Establish MLOps best practices for the project and collaborate closely with the internal engineering team to ensure seamless integration and knowledge transfer. PREFERRED EXPERIENCE - Professional software engineering experience with a strong focus on backend systems, infrastructure, or tooling, with a proven ability to hit the ground running on new projects. - Hands-on experience building and deploying AI agents and agentic workflows, whether custom-built or using industry frameworks (e.g., LangChain, AutoGen, or similar). - Proven track record of building, training, and deploying ML models in production environments using PyTorch, TensorFlow, or Scikit-Learn. Deep understanding of LLM APIs (OpenAI, Anthropic, etc.), advanced prompt engineering, and building RAG pipelines. - Expert-level proficiency in Python and strong knowledge of UNIX/Linux environments. - Solid understanding of database architecture and data pipelines (SQL, Snowflake, or similar). - Experience with MLOps practices, including model deployment, monitoring, and lifecycle management. - Knowledge of compiled programming languages, with C++ experience highly valued. - Experience building APIs to serve ML models and AI agents (e.g., FastAPI, Flask). ACADEMIC CREDENTIALS Bachelors or Masters Degree in Computer Science, Electrical & Electronics Engineering, or a related field. Comments for Suppliers: Must haves: 5-8 Years of Experience Hands-on experience building and deploying AI agents and agentic workflows, whether custom-built or using industry frameworks (e.g., LangChain, AutoGen, or similar). - Proven track record of building, training, and deploying ML models in production environments using PyTorch, TensorFlow, or Scikit-Learn. Deep understanding of LLM APIs (OpenAI, Anthropic, etc.), advanced prompt engineering, and building RAG pipelines. - Expert-level proficiency in Python and strong knowledge of UNIX/Linux environments. 2 rounds of video and 1 onsite (final) interview. role is fully onsite at Hyderabad Compensation: 1,500,000.00 - 2,000,000.00 per year Benefits: - Flexible schedule - Provident Fund Work Location: In person .
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.