Full Stack Engineer (Agentic AI SDLC)

Role Summary

We are seeking an AI Engineer to design, build, deploy, and support enterprise-grade applications using Agentic AI SDLC and AI accelerated Delivery. The successful candidate will work closely with business stakeholders, architects, and engineering teams to transform business requirements into intelligent, scalable AI systems.

Key Responsibilities

• Capture and Translate business requirements into appropriate software design and architecture specs
• Design, Develop, Test and Deploy enterprise software based on a variety of technology stack by driving Agentic AI Harness.
• Collaborate with product owners, architects, developers, and QA teams to ensure successful AI solution delivery.
• Mentor junior engineers and contribute to AI capability development.

Mandatory Technical Skills

• 7+ years of Full stack Development experience ( React/Angular- .net/ java/ Python)
• Application developer level database skills in any standard SQL or NO-SQL database
• Experience in Git and end to end DevSecOps tool chain
• Experience in Playwright or equivalent Unit Test automation tool
• Experience in software engineering best practices and end to end SDLC
• Knowledge of design patterns and coding best practices
• Hands-on in Prompt Engineering Skills
• Experience with Generative AI and appropriate selections of Large Language Models (LLMs)
• Exposure to any AI assisted coding and testing platform (e.g. Github Copilot / Claude Code / Cursor / Loveable / Windsurf)
• Understanding of Agentic AI and Multi-Agent Systems
• Familiarity with the concepts of RAG systems, Vector Databases and Embeddings

Nice to Have Technical Skills

• Experience in Claude Code
• LangGraph / LangChain / AutoGen / CrewAI
• Azure AI / AWS AI Services
• AI Workflow Orchestration Frameworks
• Familiarity with the concepts of Context Engineering and Loop engineering

Non-Negotiable Soft Skills

• Excellent communication and articulation skills
• Proactive and high level of ownership
• Active listening and stakeholder management
• Strong business analysis capability
• Structured problem-solving
• A Big picture Design thinking mindset
• Ability to decide the right solution pattern for the problem including when not to use AI
• Fixed price, token-costs, scope and change control
• Customer facing
• Runs towards the hard problems.

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.