AI Engineering Lead
JobHire.AI
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- Define best practices for model development, MLOps, code reviews, and testing.
- Collaborate with product managers to translate business goals (e.g., match quality, latency) into technical specifications.
- Drive architectural decisions for AI services (inference pipelines, embedding stores, LLM orchestration).
- Conduct regular design reviews and ensure technical documentation.
- Design and fine-tune transformer-based models for resume/job description understanding.
- Build and optimize vector search pipelines for semantic candidate matching.
- Develop agentic workflows using LLMs (GPT-4, Claude, Gemini) for screening, interview scheduling, and feedback synthesis.
- Implement production RAG systems with low latency.
- Build data pipelines for feature extraction, embedding generation, and model evaluation.
- Monitor model performance, drift, and retraining triggers.
- Work closely with backend engineers to deploy models via REST APIs (FastAPI, TorchServe, or similar).
- Partner with data engineers to ensure high-quality training data from hiring interactions.
- Coordinate with product & design to embed AI features seamlessly into UX.
- Ensure compliance with data privacy (GDPR, CCPA) and fairness/anti-bias standards.
Requirements
- 7+ years of software engineering experience, with 5+ years in a tech lead or senior mentorship role.
- Strong proficiency and experience with ML frameworks: PyTorch or TensorFlow.
- Deep knowledge of NLP and working with text data at scale.
- Proven experience deploying LLMs or embedding models to production.
- Experience with vector databases.
- Strong understanding of retrieval, ranking, and relevance metrics (NDCG, MRR, Recall@K).
- Familiarity with prompt engineering, chain-of-thought, and agent frameworks.
- Experience with MLOps tools.
- Excellent communication skills: ability to explain complex AI concepts to non-technical stakeholders.
- Experience conducting code reviews, running agile ceremonies, and unblocking team members.
- A bias for action and pragmatic trade-offs (speed vs. accuracy vs. cost).
- Experience in recruiting, HR tech, or marketplace platforms, etc.
- Background in graph ML or recommendation systems.
- Contributions to open-source AI projects or papers at conferences (NeurIPS, ACL, RecSys).
- Experience with cloud infrastructure (AWS EKS, Lambda, S3, RDS) and infrastructure-as-code (Terraform).
- Knowledge of model fairness, bias detection, and explainability (SHAP, LIME).
Benefits
- JobHire is mission-driven, fast-growing, and profitable global company.
- Amazing opportunity to scale-up business growth, improving people’s careers and lives.
- Brilliant team of the strongest A players from McKinsey, Nexters, Gett, Glovo.
- Competitive salary + equity in a fast-growing AI startup.
- Remote-first culture with flexible hours.
- Opportunity to shape the AI roadmap from day one.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpstransformer-based modelsvector search pipelinesLLMsPyTorchTensorFlowNLPretrieval metricsprompt engineeringgraph ML
Soft Skills
communication skillsmentorshipcollaborationcode reviewsagile practicesproblem-solvingpragmatic decision-makingteam unblockingdesign reviewstechnical documentation