Job description

Job Title: AI/ML Engineer Job Title: AI/ML Engineer Location: Remote (U.S.-based) Employment Type: 12 month contract Rate: $ low triple digits hourly USD Reports To: CTO Job #: 7371 About the role We're hiring an AI/ML Engineer to design, build, and deploy intelligent systems that solve real business problems — not research projects. You'll work directly on production systems, own full model lifecycles, and integrate AI capabilities into our platforms. We expect systems thinking, not just model tuning. What you'll own • Design, train, fine-tune, and deploy ML/AI models into production environments • Build and maintain LLM-powered pipelines including RAG, agents, and tool-use architectures • Develop and operationalize data pipelines supporting model training and inference • Integrate AI functionality with existing APIs, SaaS platforms, and internal tools • Instrument models for observability — latency, drift, accuracy, and cost • Collaborate with product and engineering to translate business requirements into model specs • Write clean, documented, production-grade code — not just notebooks Required • 3+ years ML/AI engineering in production • Python (fluent) — PyTorch or TensorFlow • LLM integration: OpenAI, Anthropic, or open-source (Llama, Mistral) • REST API design and consumption • MLOps fundamentals: versioning, CI/CD for models, monitoring • Vector databases (Pinecone, Weaviate, pgvector, or similar) • Git-based workflow with strong code review habits Strong plus • LangChain, LlamaIndex, or custom agent frameworks • Cloud ML: AWS SageMaker, GCP Vertex AI, or Azure ML • Fine-tuning: LoRA, QLoRA, RLHF pipelines • Data engineering: Spark, Airflow, dbt • Evaluation frameworks (RAGAS, LangSmith, custom evals) • Experience in recruiting tech, HR tech, or B2B SaaS Who you are • You ship to production — not just to notebooks or staging • You think in systems: incentives, feedback loops, failure modes • You raise problems early and with proposed solutions • You're direct, own your decisions, and don't require hand-holding • Remote-first mindset — async communication, high written clarity, proactive updates Compensation & benefits • Competitive hourly rate commensurate with experience • 100% remote — work from anywhere, certain aspect require U.S. Based location • Flexible hours with async-first culture • Direct access to leadership — no bureaucracy, high ownership • Opportunity to shape AI strategy at a high-growth recruiting platform Not for you? SherlockTalent offers a $1000 referral bonus for successful placements into this role. Include your name in the “Referral Source” field on the application.

Requirements

Must-haves

Job Title: AI/ML Engineer
Job Title: AI/ML Engineer
Location: Remote (U.S.-based)
Employment Type: 12 month contract
Rate: $ low triple digits hourly USD
Reports To: CTO
What you'll own
Design, train, fine-tune, and deploy ML/AI models into production environments
Build and maintain LLM-powered pipelines including RAG, agents, and tool-use architectures
Develop and operationalize data pipelines supporting model training and inference
Integrate AI functionality with existing APIs, SaaS platforms, and internal tools
Instrument models for observability — latency, drift, accuracy, and cost
Collaborate with product and engineering to translate business requirements into model specs
Write clean, documented, production-grade code — not just notebooks
3+ years ML/AI engineering in production
Python (fluent) — PyTorch or TensorFlow
LLM integration: OpenAI, Anthropic, or open-source (Llama, Mistral)
REST API design and consumption
MLOps fundamentals: versioning, CI/CD for models, monitoring
Vector databases (Pinecone, Weaviate, pgvector, or similar)
Git-based workflow with strong code review habits
LangChain, LlamaIndex, or custom agent frameworks
Cloud ML: AWS SageMaker, GCP Vertex AI, or Azure ML
Fine-tuning: LoRA, QLoRA, RLHF pipelines

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllmpythonrestapici/cdawsgcpazure

Platform: careers-page
Effort: medium