Senior Product Engineer; Full stack

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Location: Santa Clara, CA

Experience Level: Senior (5‑10 years)

Team: Product Engineering

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.

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.

• AI‑Assisted Development:
  Lead the integration and utilization of Generative AI tools (e.g., Git Hub 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 for 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 different models and prompting techniques.
• Mentorship:
  Guide and mentor other engineers on best practices for leveraging GenAI tools and prompt engineering.

• 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, Type Script, or Java.
• Software Fundamentals: Strong foundation in computer science, with competencies in data structures, algorithms, and software design patterns.
• Prompt Engineering: Hands‑on experience crafting and optimizing prompts for LLMs to produce specific, high‑quality outputs.
• GenAI Tooling: Experience using AI code assistants and other generative tools to significantly improve development productivity and code quality.
• Cloud
  
  Experience:
  
  Experience deploying, managing, and monitoring applications on AWS (e.g., Lambda, S3, EC2, Sage Maker) or Azure (e.g., Azure Functions, Blob Storage, Azure OpenAI Service).

• Cloud Certifications such as AWS Certified Solutions Architect, AWS Certified Developer, or Azure AI Engineer Associate.
• Experience with LLM frameworks like Lang Chain, Llama Index, or Semantic Kernel for building context‑aware AI applications.

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting

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