Artificial Intelligence Engineer

About Us
: At TheHireHub.AI, we're redefining recruitment with an end-to-end autopilot platform for hiring lifecycle management. Built on insights from 3,000+ real-world projects and powered by advanced AI, we automate sourcing, outreach, assessment, scheduling, and engagement—freeing hiring teams to focus on what matters most: human intuition.

Role Overview
: We are looking for a hands-on AI Engineer who can also wear the Engineering Lead hat. You will design, build, and productionize AI features end-to-end—spanning data, models, evaluation, and UX—while leading a small, high‑leverage engineering squad. The role blends ~60–70% individual contribution with ~30–40% technical leadership.

Key Responsibilities:

• Ship Flask-based AI services: design, implement, and maintain Flask APIs for LLM/agent features (auth, rate‑limits, request/response schemas) with logging, tracing, and error handling.
• Integrate with React experiences: define clear API contracts and collaborate with React devs; build/own a lightweight internal demo UI when needed to validate UX.
• Build agentic workflows end-to-end: tool/function calling, planning/memory, guardrails; wire agents to recruiting use cases (sourcing, outreach personalization, scheduling, knowledge retrieval).
• Operate RAG as a product surface: own chunking policies, embeddings, vector/hybrid search, and freshness pipelines; monitor retrieval quality and data drift.
• Deliver on cost & latency SLOs: set budgets/targets; optimize via model routing (SLM vs FM), quantization, caching, batching; track p50/p95 latency and cost per task.
• Evaluation & safety by default: curate prompt + dataset repos, offline/online evals (task success, hallucination, bias), red‑team critical paths; maintain dashboards and alerts.
• Lightweight MLOps & releases: manage model/artifact versions (simple registry), canary/A‑B rollouts, and rollbacks; automate with CI/CD.
• Security & PII ownership: implement least‑privilege access, masking, and audit trails; ensure tenancy isolation and SOC2‑oriented readiness.
• Lead a small squad: set technical direction, break down work, review PRs, mentor ICs, and collaborate with Product/Design/Customer teams to hit outcomes.

Tech Stack You'll Work With:

• Languages: Python and Flask and React
• AI/ML: PyTorch/JAX, foundation models (OpenAI/Anthropic/Google)
• Agents & RAG: tool/function calling, vector databases (Pinecone/Weaviate/PGVector/FAISS).

Required Skills & Qualifications:

• 3+ years in software engineering with 6 months to 1 year experience in building ML/LLM‑powered products in production.
• Strong Python and Flask
• Hands‑on experience with agentic workflows (tool use, planning, memory) and Retrieval‑Augmented Generation (RAG) at scale.
• Demonstrated work with small/compact LLMs (fine‑tuning, quantization, distillation) and routing between foundation models and SLMs.
• Ability to design evaluation frameworks and ship safe, reliable AI systems with measurable outcomes.
• Solid systems and infra fundamentals: APIs, queues, data modeling, profiling, CI/CD, and cloud basics.
• Experience leading projects or a small team (tech lead, mentor, or manager‑of‑ICs).

Nice-to-Have:

• HRTech/ATS/CRM experience or handling sensitive PII datasets.
• GPU inference optimization (KV‑cache, paged attention, tensor parallel), Triton kernels, or custom CUDA.
• Search/retrieval systems (Elasticsearch/OpenSearch, Vespa, Milvus) and hybrid retrieval expertise.
• Frontend familiarity ) for rapid prototyping with Design.
• Security, privacy, and compliance exposure (SOC2, ISO

Education:

Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience).

What Success Looks Like (30/60/90):

• 30 days: Ship a scoped AI feature improvement (e.g., retrieval quality or latency win); map the AI surface area and propose a technical roadmap.
• 60 days: Lead a squad to productionize an agentic workflow with measurable wins (conversion, time‑to‑fill, or support deflection).
• 90 days: Establish an AI evaluation & observability stack (dashboards, alerts, experiment tracking) and a repeatable release process.

What We Offer:

• Be part of a dynamic and forward-thinking executive search firm that fosters collaboration, growth, and continuous learning.
• Work closely with top-tier organizations, providing strategic talent solutions and gaining deep insights into leadership hiring and talent management.
• Enjoy a rewarding package that reflects your expertise and contribution, along with comprehensive benefits to support your well-being.
• Access best-in-class tools, technologies, and methodologies that are shaping the future of executive search, empowering you to deliver exceptional results for clients.