Agentic Forward Deployed Engineer (India)

Agentic Forward Deployed Engineer (India)

02 Oct
|
Mechanized AI Consulting Group
|
India

02 Oct

Mechanized AI Consulting Group

India

Contract · 6–12 months, extension possible · Remote (US, India, or LATAM)
About Mechanized AI ConsultingMechanized AI Consulting builds agentic workflows that drive real business value for enterprise clients. We sit with the client, name the hard problem, and leave a production path — not a demo.
This is the front of applied agentic systems. The work is client-facing. The output is a deployment the client can run.
The RoleYou own a client deployment from the real problem to a system they can run without you. Production agents that take actions in the client’s systems (tools, data, identity) are the usual product. You own the skills, the MCPs, the RAG, the data loading, and the agent itself.
Once the first deployment is in use, you find the next real problem in the account, name it, and ship that too. You work in the client’s systems and meetings, not their office. You think in systems. You hunt failure modes before they show up in a trace. You report to the Chief AI Officer. You own the build. The Chief AI Officer owns the account and the hard no.
Overlap with US working hours is required.




What You Will DoClient delivery• Sit with critical client stakeholders and name the real problem, the constraints, and the smallest proof that would change their mind.
• Do forward-deployed, customer-embedded technical delivery: you are in the client’s work, not adjacent to it.
• You run the client meeting yourself, in conversational English.
• Leave a handoff the client can run without you: runbooks, evals, traces, and the next change the platform must make.
• After the first thing is used, pull the next problems out of the client’s actual work. Scope the smallest next ship.

Agent design and build• Design the agent: skills, tools, memory, state, and the control loop.
• Stand up MCP servers and tool scopes with least privilege.
• Build retrieval the client can trust — RAG, graph retrieval where it fits, and the data-loading path into both.
• Load, clean, and partition messy enter

📌 Agentic Forward Deployed Engineer (India)
🏢 Mechanized AI Consulting Group
📍 India

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