Agentic AI engineers who ship to production.
LangGraph, LangChain, tool-use, multi-agent orchestration, RAG, evals and guardrails — engineers who have already shipped autonomous voice, chat and email agents on live CCaaS.
- 48 hrs — 3 vetted profiles delivered
- Agent architects
- Engineers & platform
- Evals, guardrails & observability
30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.
- LangGraph
- LangChain
- OpenAI
- Anthropic
- AWS Bedrock
- Azure OpenAI
A working pilot in 90 days — not a 40-page slide deck.
Multi-agent graph design, tool schemas, memory strategies, RAG pipelines and cost/latency budgets for voice and digital contact-center agents.
Python/TypeScript engineers on LangGraph, LangChain, LlamaIndex, Bedrock, Azure OpenAI, Vertex — plus vector stores (pgvector, Pinecone, OpenSearch).
LLM-as-judge evals, deterministic regression suites, red-teaming, Trust Layer / Guardrails AI and production tracing with LangSmith, Langfuse or Arize.
“Three agentic engineers landed inside a week and shipped a multi-agent claims triage to production in 90 days — with evals we could defend to risk.”
Questions buyers ask us first.
- What backgrounds do your agentic engineers have?
- Most are senior Python/TypeScript engineers with 3–8 years in ML/LLM systems and at least one shipped agentic system in production — not just notebook demos.
- Which frameworks and models do they work in?
- LangGraph, LangChain, LlamaIndex, CrewAI, custom orchestration; OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, open-weights via vLLM.
- Contract, contract-to-hire or managed pod?
- All three. Individual contractors, embedded pods, or fully managed pods with an architect, engineers, an evals lead and shared SLA.
- How do you evaluate agent quality before production?
- Every engagement ships with an evals harness — task success, tool-use accuracy, hallucination rate and cost per successful task — gated in CI before any agent is promoted.
- How do you handle governance and data protection?
- Trust Layer / Guardrails AI, prompt-injection defenses, PII redaction, model routing rules, evaluation gates and security-cleared engineers on every SOW.
Ready to see it in your stack?
30 minutes with a delivery lead. Your architecture, your KPIs, a concrete pilot outline you can defend internally.
Book a 30-min working session →