Stop searching. Start building with the right AI engineers.
We match enterprises with elite AI and automation engineers so your teams can ship intelligent systems without the hiring lag.
Hire an AgentEngineer→
See sample profile→
Stop searching. Start building with the right AI engineers.
We match enterprises with elite AI and automation engineers so your teams can ship intelligent systems without the hiring lag.
Hire an AgentEngineer→
See sample profile→
Stop searching. Start building with the right AI engineers.
We match enterprises with elite AI and automation engineers so your teams can ship intelligent systems without the hiring lag.
Hire an AgentEngineer→
See sample profile→
The real challenges of hiring agentic operations engineers
The real challenges of hiring agentic operations engineers
Demand for engineers who can build production agentic operations is outpacing supply and a wrong hire here can derail entire AI programmes, not just a single project.
Demand for engineers who can build production agentic operations is outpacing supply and a wrong hire here can derail entire AI programmes, not just a single project.
Hiring delays & limited availability
Hiring delays & limited availability
Agentic engineers are rare. Most hiring cycles run 4–6 months stalling AI initiatives while competitors ship.
Agentic engineers are rare. Most hiring cycles run 4–6 months stalling AI initiatives while competitors ship.
A talent gap at the skill intersection
A talent gap at the skill intersection
Few engineers combine agentic architecture, regulated-domain expertise, and production experience. That exact profile is hardest to find.
Few engineers combine agentic architecture, regulated-domain expertise, and production experience. That exact profile is hardest to find.
Hard to prove candidates can build your workflow
Hard to prove candidates can build your workflow
Most candidates can prototype, not scale. Job descriptions miss operational depth leading to costly, underperforming hires.
Most candidates can prototype, not scale. Job descriptions miss operational depth leading to costly, underperforming hires.
Rising senior talent costs, shrinking ROI
Rising senior talent costs, shrinking ROI
Senior agentic engineers cost $250k–$400k+. For one or two workflows, a full-time hire rarely justifies the investment.
Senior agentic engineers cost $250k–$400k+. For one or two workflows, a full-time hire rarely justifies the investment.
The skills exist. Finding them together is the problem.
The skills exist. Finding them together is the problem.
Demand for engineers who build production agentic operations is outpacing supply. A wrong hire here doesn't just slow a project it derails an entire AI programme.
Demand for engineers who build production agentic operations is outpacing supply. A wrong hire here doesn't just slow a project it derails an entire AI programme.
AI and LLM engineering
Agentic workflow design and orchestration
Guardrails, security, and cloud infrastructure
Data, integrations, and observability
AI and LLM engineering
ChatGpt
Claude
LLaMa
Gemini
Mistral
Right model selection per task
Fine-tuning on clinical, legal, financial data
LLM-agnostic architecture
Multimodal pipeline design
Tab - 01
Tab - 02
Tab - 03
Tab - 04
AI and LLM engineering
ChatGpt
Claude
LLaMa
Gemini
Mistral
Right model selection per task
Fine-tuning on clinical, legal, financial data
LLM-agnostic architecture
Multimodal pipeline design
Tab - 01
Tab - 02
Tab - 03
Tab - 04
AI and LLM engineering
ChatGpt
Claude
LLaMa
Gemini
Mistral
Right model selection per task
Fine-tuning on clinical, legal, financial data
LLM-agnostic architecture
Multimodal pipeline design
Why generic AI engineers fail in regulated operations?
Why generic AI engineers fail in regulated operations?
Most AI engineers can ship an agent. Few can ship a governed operation that satisfies risk, audit, and compliance at scale.
Most AI engineers can ship an agent. Few can ship a governed operation that satisfies risk, audit, and compliance at scale.
Governance as architecture
Generic AI fails in regulated industries not on model quality but on governance. Our engineers design deterministic guardrails, policy checks, and immutable audit trails from sprint one approvable by design.
Generic AI fails in regulated industries not on model quality but on governance. Our engineers design deterministic guardrails, policy checks, and immutable audit trails from sprint one approvable by design.
Domain context built in
Prompted domain hints fail when mistakes carry clinical or financial impact. Our engineers encode regulatory frameworks, payer policies, and clinical ontologies directly into the reasoning layer handling edge cases, not just the happy path.
Prompted domain hints fail when mistakes carry clinical or financial impact. Our engineers encode regulatory frameworks, payer policies, and clinical ontologies directly into the reasoning layer handling edge cases, not just the happy path.
Observe. Measure. Scale.
Uptime dashboards aren't enough. Our engineers implement full-stack observability cost per transaction, accuracy by workflow, latency, and policy enforcement in one view, so teams scale with confidence.
Uptime dashboards aren't enough. Our engineers implement full-stack observability cost per transaction, accuracy by workflow, latency, and policy enforcement in one view, so teams scale with confidence.
These principles are already live in production systems across prior authorization, protocol review, and reconciliation giving risk and operations teams a level of control they don’t get from generic AI builds.
These principles are already live in production systems across prior authorization, protocol review, and reconciliation giving risk and operations teams a level of control they don’t get from generic AI builds.
Three governed systems in production, with measured outcomes
Three governed systems in production, with measured outcomes
These are governed agentic operations running today built by our engineers, integrated with enterprise systems, and observable through ARMS.
These are governed agentic operations running today built by our engineers, integrated with enterprise systems, and observable through ARMS.
Prior authorization (Healthcare)
Prior authorization (Healthcare)
Gap
15–30 min per order, 80–90% manual, high error rates and denial backlogs.
15–30 min per order, 80–90% manual, high error rates and denial backlogs.
What was built
Agentic workflow receives orders, extracts clinical data, checks payer policies, validates docs, routes approve/deny/escalate. HIPAA audit trail. Epic & Cerner integration. Zero data egress.
Agentic workflow receives orders, extracts clinical data, checks payer policies, validates docs, routes approve/deny/escalate. HIPAA audit trail. Epic & Cerner integration. Zero data egress.
Outcomes
80% faster
~1 min per order
40% cost reduction
10+ hrs saved per staff weekly
Protocol quality review (Life Sciences)
Protocol quality review (Life Sciences)
Gap
30–90 min per reviewer, late IRB gaps causing rework and submission delays.
30–90 min per reviewer, late IRB gaps causing rework and submission delays.
What was built
DocAudit ingests trial protocols, extracts regulatory elements, classifies findings as OK / Needs Attention / Blocking. 21 CFR Part 11. Exception-only human effort.
DocAudit ingests trial protocols, extracts regulatory elements, classifies findings as OK / Needs Attention / Blocking. 21 CFR Part 11. Exception-only human effort.
Outcomes
60–70% fewer review cycles
50%+ less rework
IRB gaps eliminated before submission
Reconciliation automation (Financial operations)
Reconciliation automation (Financial operations)
Gap
Manual multi-system reconciliation, heavy matching effort, no unified audit trail.
Manual multi-system reconciliation, heavy matching effort, no unified audit trail.
What was built
Agentic pipeline matches transactions, flags discrepancies, classifies exceptions, routes to right owner. Full audit trail. SAP & Salesforce connectors.
Agentic pipeline matches transactions, flags discrepancies, classifies exceptions, routes to right owner. Full audit trail. SAP & Salesforce connectors.
Outcomes
80% faster cycles
100% auditable
Exception-only review
Finance freed for analysis
3 ways to work with elsai agentengineer™ talent
3 ways to work with elsai agentengineer™ talent
Whether you need engineers embedded into your team, a dedicated build you’ll own, or a long-term capability centre, there’s a model that fits.
Whether you need engineers embedded into your team, a dedicated build you’ll own, or a long-term capability centre, there’s a model that fits.
Staff Augmentation
Senior engineers. Your team. Your stack.
Senior AgentEngineer™ talent embeds into your environment, follows your processes, and builds to your architecture. Capability stays. Dependency doesn't.
Senior AgentEngineer™ talent embeds into your environment, follows your processes, and builds to your architecture. Capability stays. Dependency doesn't.
Best for
Teams with an active agentic programme needing to move faster or go deeper.
Teams with an active agentic programme needing to move faster or go deeper.
Engagement
Month-to-month
Full or part-time
Your tools
Your IP
Custom Agent Development
Your workflow. Built end to end. Owned entirely by you.
We scope, design, build, validate, and deploy then hand over with full documentation and post-launch support. Nothing reused. Everything yours.
We scope, design, build, validate, and deploy then hand over with full documentation and post-launch support. Nothing reused. Everything yours.
Best for
Organisations with a high-value workflow to automate and a plan to own it in-house.
Organisations with a high-value workflow to automate and a plan to own it in-house.
Engagement
Fixed scope
3–6 months
Full IP transfer
30-day support
Innovation Team
Agentic AI as a permanent enterprise capability.
A dedicated AgentEngineer™ team operates as your centre of excellence shipping agents, maintaining systems, and growing your internal capability over time.
A dedicated AgentEngineer™ team operates as your centre of excellence shipping agents, maintaining systems, and growing your internal capability over time.
Best for
Enterprises treating agentic AI as a strategic capability, not a vendor relationship.
Enterprises treating agentic AI as a strategic capability, not a vendor relationship.
Engagement
Multi-year
Dedicated team
Multiple workflows & business units
Scales with your programme
See the profile before you commit to anything
See the profile before you commit to anything
Request a sample agentengineer™ profile for your use case matched to your industry, workflow, and compliance requirements. We’ll send it within 24 hours. No sales call required to see who you’d be hiring and what they’ve shipped in production.
Request a sample agentengineer™ profile for your use case matched to your industry, workflow, and compliance requirements. We’ll send it within 24 hours. No sales call required to see who you’d be hiring and what they’ve shipped in production.
Request sample profiles →
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
© 2026 elsai. All rights reserved.
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elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
© 2026 elsai. All rights reserved.
Privacy
Terms
Cookies
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
© 2026 elsai. All rights reserved.
Privacy
Terms
Cookies
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
© 2026 elsai. All rights reserved.
Privacy
Terms
Cookies