AI/Claude Developer

AI / Claude Developer
Join our growing team and play a key role in driving technical excellence, building scalable applications, and shaping the future of our products. This is more than just a coding role it is a growth-centric leadership opportunity. While you mentor our developers and lead impactful projects, you will continuously sharpen your own technical and leadership expertise.
Why Join Us?
Work on exciting, large-scale projects leveraging AI and cutting-edge technologies Collaborate with a high-performing, supportive development team Drive innovation and influence the evolution of our technology stack Enjoy flexible work arrangements hybrid or fully remote options available
Build a stable, long-term career with strong growth opportunities at Infovenz
If you're ready to elevate your expertise and lead a talented team, apply now lets build something extraordinary together!
Job Description
Join us as a AI Claude Developer, where you will drive the adoption of AI-assisted engineering practices across the organisation. You will design, build, and operationalise Claude-powered developer workflows, plugins, and integrations to enhance productivity, code quality, and automation across the engineering lifecycle.
You will work at the intersection of AI, developer tooling, and enterprise platforms, leveraging large language models to transform how software is built, tested, reviewed, and delivered.
To Be Successful in This Role, You Should Have Experience In
Hands-on experience working with Claude (Anthropic APIs) or equivalent LLM platforms for code generation, automation, and developer workflows.
Strong expertise in prompt engineering, prompt templating, context design, and response optimisation.
Experience designing and implementing Claude-based plugins, tools, or extensions, including API-based tool integrations, function calling or tool invocation patterns, and context-aware workflows for engineering tasks.
Ability to design secure and governed LLM usage patterns, including data masking, PII controls, auditability, and access management.
Experience building custom integrations or plugins for IDEs such as IntelliJ and VS Code, CI/CD pipelines such as GitLab and Jenkins, and developer portals or internal platforms.
Strong backend development experience for plugin services using Java/Spring Boot, Node.js, Python, or similar technologies.
Experience integrating AI into code-review workflows, test-generation pipelines, documentation automation, and ChatOps or DevOps assistants.
Experience improving developer productivity through AI-assisted tooling and automation.
Ability to automate code scaffolding, refactoring recommendations, test-case generation including unit, integration, and contract tests, and API documentation generation.
Experience building self-service developer tools and internal engineering platforms.
Strong expertise in building scalable microservices, REST APIs, and integration services.
Hands-on experience with cloud platforms, preferably AWS, containerisation using Docker, and Kubernetes-based deployments.
Experience integrating AI services into event-driven architectures, preferably using Kafka.
Strong understanding of Git-based version control, GitLab CI/CD pipelines, and DevSecOps practices.
Experience embedding AI capabilities into CI pipelines, including automated code checks, review suggestions, build validation, and quality gates.
Ability to promote a test-first, quality-driven engineering culture.
Highly Valued Skills
Ability to act as an Individual Contributor Engineer with end-to-end ownership of technical deliverables.
Strong analytical and troubleshooting skills for AI-integrated systems.
Experience collaborating with cross-functional teams, including DevOps, security, platform, and product teams.
Excellent communication skills to support AI adoption and developer-enablement initiatives.
Hands-on exposure to multiple AI coding assistants, including Claude, GitHub Copilot, GitLab Duo, Codex, or similar tools.
Experience with Retrieval-Augmented Generation (RAG), vector databases such as Pinecone or OpenSearch, and LangChain or similar orchestration frameworks.
Experience building enterprise AI platforms, internal developer portals, or AI-enabled engineering tools.
Ability to build and maintain Claude-powered plugins, workflows, and integrations.
Ability to enable teams to adopt AI-assisted development workflows and define standards for responsible AI usage in software engineering.
Experience improving developer productivity metrics through AI automation.
Experience collaborating with platform teams to embed AI capabilities into enterprise tooling.
Role: Full Stack Developer
Industry Type: IT Services & Consulting
Department: Engineering – Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Graduation Not Required

Skills
Python, JavaScript, Node.js, Java, Spring Boot, Spring, REST API

Work arrangement
No