Senior Fullstack Engineer Agentic Infrastructure
About the Role: We are looking for a skilled Senior Software Engineer with a strong background in Generative AI, Agentic AI, and applied software engineering. You will play a key role in building agentic AI systems, designing prompt-driven workflows, integrating tools with LLMs, and mentoring the team on the latest advancements in AI technologies.
Roles and Responsibilities:
Design & Development
Architect and build AI-powered tools using LLMs (e.g., OpenAI, Claude, Mistral, etc.) using best practices in prompt engineering and context engineering.
Integrate and customize AI agents using frameworks like LangChain, Google ADK, Claude Agent SDK or custom solutions.
Utilize observability and evaluation tools, such as Langfuse.
Collaborate with product and research teams to translate requirements into prompt workflows and agent behaviors.
Design and implement scalable systems and infrastructure to support AI agents and workflows, using suitable tools and technologies.
Prompt Engineering & Agentic Workflows
Design advanced, multi-agent workflows that incorporate memory, dynamic context injection, and multi-step reasoning.
Experiment with and optimize agentic architectures for real-world tasks (retrieval, generation, summarization, etc.).
Front-End Integration
Collaborate with UI/UX or front-end teams to integrate AI-powered features into user-facing applications as needed.
Adaptability & Learning Mindset
Willingness and ability to quickly learn and adapt to new technologies, frameworks, and tools as needed. Open to working across the stack to support the development of AI-powered solutions. Comfortable stepping beyond core skill sets to contribute wherever needed in the AI application lifecycle.
Testing & DevOps
Write unit and integration tests to ensure reliability.
Participate in code reviews, CI/CD pipelines, and deploy models/services using best practices.
Mentorship & Collaboration
Upskill peers in GenAI, prompt engineering, and best practices.
Contribute to knowledge-sharing and architectural reviews across teams.
Stay updated with evolving AI ecosystems, tools, and research.
Requirements:
Technical Proficiency
Strong programming fundamentals (OOP, security, performance).
Experience building scalable and modular systems using modern frameworks and tools.
Proficiency with LLMs, OpenAI/Anthropic APIs, LangChain or similar.
Full Stack Development
6+ years of experience in full stack development.
Strong experience with:
API design and service-oriented architectures
Backend development in one or more modern languages (e.g., Python, Java, PHP, TypeScript or similar)
Distributed systems and cloud-based infrastructure
SQL and relational databases
Proven ability to design systems with performance, reliability, and scalability in mind.
GenAI & Agentic AI
1+ years of experience working with GenAI and LLMs.
1+ years of experience in prompt engineering and AI agent architectures.
Familiarity with agent frameworks like LangChain, Google ADK, and Claude Agent SDK.
Experience with Agentic IDEs such as Cline, Cursor, and Replit.
Strong understanding of the Cursor Rule (intent → context → action), a principle for structuring agent behavior, and real-world experience applying it in workflows.
Solid understanding of how to construct and pass dynamic context to LLMs, including techniques like session memory and prompt templating.
Experience adapting or customizing LLMs is a plus.
Additional Technical Exposure (Good to Have)
Familiarity with vector databases and graph databases is a plus.
Testing & DevOps
Experience with Git, CI/CD workflows, and test automation.
Familiarity with DevOps tools, monitoring, and logging in production environments.
Soft Skills
Excellent communication and collaboration skills.
Self-driven and eager to mentor and share knowledge.
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