AI Software Engineer
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Some ghost-posting signals
- open for 98 days (90+ without a fill is a strong ghost signal)
- no salary disclosed (correlates with ghost postings)
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About the role
Responsibilities
Collaborate with product and software teams to integrate AI solutions and forward-deploy production-grade systems into enterprise applications
Drive proof-of-concept initiatives and publish insights on emerging techniques
Orchestrate LLM-based agentic systems
Contribute in full-cycle AI development, from data pipelines and model training to deployment and monitoring
Design, build, and optimize production-grade machine learning models
Implement robust MLOps practices using Kubernetes, MLflow, and cloud services (AWS, Azure, GCP)
Advocate for ethical AI principles, ensuring fairness, transparency, and security
Qualifications
BSc/MSc/PhD in Computer Science or related field
Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and transformer-based architectures
Proven experience in fine-tuning generative models (e.g. open-source LLMs, diffusion models)
Experience deploying AI solutions using containerization (Docker, Kubernetes) and CI/CD pipelines.
Proficiency in at least one agentic orchestration framework for building LLM-based systems
Comfortable working in AI-first development environments, leveraging agentic tools (e.g., Claude Code, Codex) to plan, build, and iterate faster.
Nice to Have
Contributions to open-source AI projects
Expertise in LLM evaluation, and performance-cost optimization
Experience with advanced AI domains (graph neural networks, reinforcement learning)
Active engagement in AI communities (Kaggle, Huggingface).
Experience with agentic orchestration frameworks such as LangGraph, Google ADK, or similar tools
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