Senior Product Engineer(Full stack)
About The Position
At Digitate, we are at the forefront of innovation, building next-generation solutions that redefine our industry. We believe in the transformative power of artificial intelligence and are looking for a passionate and experienced engineer to help us harness the potential of Generative AI within our software development lifecycle. Join our dynamic team and help shape the future of Enterprise cognitive automation. Job Summary We are seeking a highly skilled Senior Software Engineer with 5 to 10 years of experience who possesses a unique blend of traditional software development expertise and a deep understanding of prompt engineering and Generative AI tools. In this role, you will not just write code; you will architect and implement solutions by leveraging cutting-edge AI models and platforms to accelerate development, enhance product features, and drive innovation. You will be a key player in integrating Large Language Models (LLMs) into our daily workflows and building AI-powered applications on modern cloud infrastructure.
Requirements
- Experience: 5-10 years of professional experience in software engineering.
- Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Programming Proficiency: Expert-level knowledge in one or more programming languages such as Python, Go, TypeScript, or Java.
- Software Fundamentals: Strong foundation in computer science, with competencies in data structures, algorithms, and software design patterns.
- Prompt Engineering: Demonstrable, hands-on experience crafting and optimizing prompts for LLMs to produce specific, high-quality outputs. You should be able to show how you've used prompting to solve complex problems.
- GenAI Tooling: Proven experience using AI code assistants and other generative tools to significantly improve development productivity and code quality.
- Cloud Experience: Solid experience deploying, managing, and monitoring applications on cloud platforms like AWS (e.g., Lambda, S3, EC2, SageMaker) or Azure (e.g., Azure Functions, Blob Storage, Azure OpenAI Service).
Nice To Haves
- Cloud Certifications: Certifications such as AWS Certified Solutions Architect, AWS Certified Developer, or Azure AI Engineer Associate are a significant plus.
- LLM Frameworks: Experience with frameworks like LangChain, LlamaIndex, or Semantic Kernel for building context-aware AI applications.
Responsibilities
- AI-Assisted Development: Lead the integration and utilization of Generative AI tools (e.g., GitHub Copilot, Amazon Code Whisperer, internal models) to generate, debug, and optimize code across the full software development lifecycle.
- Prompt Engineering & Optimization: Design, develop, and refine sophisticated prompts and prompt chains to interact with LLMs (like GPT-4, Claude, Llama) for a variety of tasks, including code generation, feature development, and automated testing.
- Feature Development: Architect, build, and deploy robust, scalable, and AI-powered features for our core products.
- System Design : Collaborate with cross-functional teams to design and implement systems that effectively integrate AI models, ensuring performance, security, and reliability.
- Cloud Infrastructure: Build and manage the infrastructure for our AI applications on cloud platforms, primarily AWS and Azure.
- Prototyping & Research: Stay current with the latest advancements in Generative AI. Rapidly prototype new ideas and conduct experiments to evaluate the effectiveness of different models and prompting techniques.
- Mentorship: Guide and mentor other engineers on best practices for leveraging GenAI tools and prompt engineering, fostering a culture of innovation and efficiency.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Industry
Professional, Scientific, and Technical Services
Number of Employees
5,001-10,000 employees
