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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Engineer - **Company:** Vigna Inc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Application Performance Management, Automation of Tests, Microsoft Azure, Code Review, Extract Transform Load (ETL), Relational Databases, Database Queries, DevOps, Distributed Systems, Django Web Framework, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Machine Learning, Enterprise Messaging Systems, MongoDB, MySQL, Multiprocessing, NoSQL, NumPy, Object-Oriented Software Development, Oracle (Applications), RabbitMQ, Redis, Tensorflow, Software Engineering, Software Systems, Web Application Frameworks, Data Processing, Multithreading, Google Cloud, Performance Testing, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Git, Fastapi, Pandas, Event Driven Architecture, Pytest, AI Platforms, Scikit Learn, Integration Tests, Information Technology, HuggingFace, Apache Kafka, Restful APIs, Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Docker, Microservices - **Published:** September 10, 2026 - **Apply:** https://www.dice.com/job-detail/1310c673-90a3-4cfc-92f2-b17027b77d10 ## About the Role * Bachelor's degree in Computer Science, Engineering, or equivalent experience. * 8+ years of professional software development experience. * Strong proficiency in Python and object-oriented programming. * Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-Learn. * Experience with Generative AI technologies and frameworks such as Hugging Face, LangChain, or LangGraph. * Strong command of data manipulation libraries including Pandas, NumPy, and Apache Spark. * Experience with at least one Python web framework: Django, Flask, or FastAPI. * Strong understanding of RESTful API design and development. * Experience with relational databases such as PostgreSQL, MySQL, or Oracle and strong SQL skills. * Familiarity with NoSQL databases such as MongoDB, DynamoDB, or Redis. * Solid understanding of asynchronous processing and multithreading/multiprocessing. * Experience with Git and modern version control workflows. Preferred Qualifications * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Familiarity with Docker and Kubernetes. * Experience with data pipelines, ETL processes, or distributed systems. * Knowledge of messaging systems such as Kafka, RabbitMQ, or SQS. * Experience building microservices and event-driven architectures. * Exposure to data science, machine learning, or AI platforms. Testing & Quality * Strong experience with testing frameworks such as pytest, unittest, or nose. * Familiarity with test automation, integration testing, and performance testing. * Commitment to high code quality, reliability, and maintainability. Soft Skills * Strong problem-solving and analytical abilities. * Excellent written and verbal communication skills. * Ability to lead technical initiatives and influence architecture decisions. * Comfortable working in fast-paced, collaborative environments. * Passion for mentoring, learning, and continuous improvement. ## Description We are seeking an experienced Senior Python AI/ML, GenAI Engineer to design, build, and maintain scalable, high-quality software systems. This role requires strong expertise in Python, system design, AI/ML, Generative AI, and modern backend technologies. The ideal candidate will take ownership of complex features, contribute to technical architecture and design decisions, mentor other engineers, and work closely with cross-functional teams to deliver reliable, scalable, and high-performing solutions., * Design, develop, and maintain scalable Python-based applications and services. * Model Productionization: Convert machine learning prototypes created by data scientists into production-ready software systems. * GenAI & LLM Integration: Design, test, and implement features leveraging LLMs, including prompt engineering and agentic workflows. * Vector Databases: Build semantic search capabilities and manage vector databases such as Pinecone, Milvus, and FAISS for RAG systems. * Lead technical design and architecture discussions for complex systems. * Write clean, efficient, maintainable code following engineering best practices. * Conduct code reviews and provide technical mentorship to junior and mid-level engineers. * Collaborate with Product, DevOps, QA, and Architecture teams. * Optimize application performance, scalability, and reliability. * Troubleshoot and resolve complex production issues. * Build and enhance automated testing frameworks. * Support CI/CD pipelines and modern DevOps workflows. * Ensure compliance with security, data, and quality standards. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Vectorize all the things! 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)