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:

AI Software Engineer

Key skills