Careers

Join us building enterprise AI infrastructure.

AI Consultant

$150,000–$250,000 per year

You will lead client strategy, architecture, and adoption of generative AI systems. Our consultants work directly with C‑suite and technical leadership to shape how organizations deploy AI: from initial discovery and capability assessment through to roadmap design, vendor and build decisions, and ongoing governance.

You will own the translation between business goals and technical execution. That means articulating the deployment gap, designing AI infrastructure that fits existing systems and data, and helping clients prioritize use cases that deliver measurable ROI. You will also support implementation teams so that pilots become production systems and adoption spreads across the enterprise.

Ideal candidates have several years of hands‑on experience with generative AI APIs in production settings, strong communication skills with both technical and non‑technical stakeholders, and a track record of using AI to code and AI‑in‑code patterns. Experience with MCPs and tool use in real business workflows is essential.

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AI Orchestration Engineer

$150,000–$250,000 per year

You will design and build the pipelines, agents, and tooling that connect generative AI to business systems. The orchestration layer is where models meet data, tools, and workflows: you will own the logic that decides when to call which model, how to supply context, how to handle tool use and MCPs, and how to log and govern execution.

Your work spans agent frameworks, RAG and retrieval pipelines, prompt and context management, and integration with CRMs, ERPs, and internal APIs. You will collaborate with implementation developers and consultants to ensure that orchestration is reliable, observable, and aligned with client architecture and security requirements.

We are looking for engineers who have shipped production systems using generative AI APIs, have deep experience with agentic patterns and tool use (including MCPs), and are comfortable reasoning about latency, cost, and failure modes at scale. Strong coding skills and experience with AI‑assisted development are expected.

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AI Implementation Developer

$150,000–$250,000 per year

You will implement production AI integrations, APIs, and workflows that embed generative AI and MCPs into real business processes. This role is where architecture and orchestration meet the codebase: you will build connectors, data pipelines, and application logic that make AI actionable for end users and downstream systems.

Your deliverables include services that call LLM APIs, integrate with MCP servers and internal tools, handle structured outputs and validation, and plug into existing auth, logging, and deployment pipelines. You will work alongside orchestration engineers and consultants to ensure implementations are maintainable, testable, and aligned with client standards.

Candidates should have several years of experience building production software and at least one year of hands‑on work with generative AI APIs and AI‑in‑code patterns. Familiarity with MCPs and evidence of using them to deliver business value is required. You should be comfortable in at least one of our common stacks (e.g. Python, TypeScript/Node) and with modern DevOps and API design.

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Requirements for all roles

Questions? Email hello@thebinfogroup.com