AI Software Engineer

Job Title: AI Software Engineer

Location: Remote

Type of hire: Contract

Job Description :

What You'll Do:

• Partner with HR, Talent & Recruiting to understand workflows, identify pain points, and uncover opportunities for AI automation.
• Translate complex business challenges into actionable AI use cases
• Apply advanced GenAI techniques, including LLMs and Agentic AI, to rapidly design and iterate on functional prototypes (AI agents, custom copilots, intelligent workflows).
• Write high-quality, well-tested code in Python, Golang, Node.js, React, and TypeScript
• Collaborate cross-functionally to evolve prototypes into scalable, secure, production-grade AI solutions aligned with organizational goals
• Provide guidance on AI capabilities, responsible AI usage, prompt engineering, and strategic AI integration.
• Mentor team members on design principles and AI tools adoption
• Pilot AI solutions with Business Stakeholders and Product Managers, gather feedback, iterate, and support adoption to ensure demonstrable value
• Partner with AI Platform and DevX teams to leverage existing infrastructure and ensure scalability and security
• Work with Security, Legal, and Compliance to ensure solutions adhere to security, privacy, and ethical guidelines
• Define success metrics, track ROI, and communicate value delivered to stakeholders
• Research and experiment with emerging AI models, tools, and best practices

What We're Looking For:

• 5+ years of software engineering experience, with at least 6 months focused on applied AI, Generative AI, or intelligent automation

Software Engineering Skills:

• Proven expertise in designing, building, scaling, and maintaining production services with strong understanding of microservices architecture
• Strong system design, coding, and debugging skills to enhance reliability and scalability
• Proficiency in at least one backend language (Golang preferred), frontend frameworks (React, TypeScript), and workflow engines (Temporal).
• Familiarity with REST/gRPC APIs, queues, and event-driven patterns

AI & Automation Skills:

• Understanding of LLM capabilities, limitations, and architectures (RAG, agents, fine-tuning)
• Hands-on experience with AI platforms (Gemini/Claude, agent frameworks like LangChain/LangGraph, Python)
• Ability to responsibly use generative AI tools with human-in-the-loop practices to deliver business-ready outputs
• Analytical problem-solver comfortable with ambiguity and rapid iteration
• Cross-functional collaboration experience with engineering and non-engineering teams
• Strong understanding of data privacy, security, and ethical considerations related to AI

Nice to Haves:

• Experience building AI agents or advanced workflow automation solutions
• Experience building production ML/AI systems
• Experience with HR systems