Onectus

/ TEAMS · Specialist engineering · LLM Integration

Hire LLM Integration engineers for production systems.

Source engineers experienced in LLM APIs, structured outputs, evaluation, privacy and secure product integration. for business-critical production systems, safe integrations and measurable technical ownership.

2,000+ engineers in our active talent network · Regional recruiters

/ SYSTEM STACK

ARCHITECTURE01

model API orchestration

IMPLEMENTATION02

structured output validation

DATA & INTERFACES03

evaluation datasets

RELIABILITY04

prompt injection defense

OPERATIONS05

privacy boundaries

/ AVAILABLE TO HIRE

Specialist engineering profiles.

Profiles show the experience we can source. Individual candidate availability is confirmed after enquiry.

Luka D.

LLM

Mid-level LLM Integration Engineer

Inquire availability

3+ years of experience · Croatia

LLM Integration Engineer with 3 years in production systems, focused on model API orchestration and structured output validation.

model API orchestrationstructured output validationevaluation datasetsprompt injection defenseprivacy boundaries

Languages: Croatian, English B2+

Ivana R.

LLM

Mid+ LLM Integration Engineer

Available

6+ years of experience · Croatia

LLM Integration Engineer with 6 years in production systems, focused on structured output validation and evaluation datasets.

structured output validationevaluation datasetsprompt injection defenseprivacy boundarieslatency budgets

Languages: Croatian, English B2+

Marko P.

LLM

Senior LLM Integration Engineer

Inquire availability

9+ years of experience · Croatia

LLM Integration Engineer with 9 years in production systems, focused on evaluation datasets and prompt injection defense.

evaluation datasetsprompt injection defenseprivacy boundarieslatency budgetsmodel API orchestration

Languages: Croatian, English B2+

Ola S.

LLM

Senior LLM Integration Engineer

Inquire availability

12+ years of experience · Poland

LLM Integration Engineer with 12 years in production systems, focused on prompt injection defense and privacy boundaries.

prompt injection defenseprivacy boundarieslatency budgetsmodel API orchestrationstructured output validation

Languages: Polish, English B2+

/ Engineering teams

LLM Integration — Technical sourcing matched to the actual system.

Onectus uses its active engineering network and regional recruiting partners to search against concrete systems, environments and responsibilities. We evaluate practical experience rather than treating a framework mention or certification as proof of delivery. Particular availability and engagement terms are confirmed after an enquiry. For this role, practical knowledge of model API orchestration, structured output validation, evaluation datasets helps define the engineering search.

/ Technical specializations

LLM Integration — Six technical capabilities to assess

The right profile depends on your actual architecture, performance constraints, integration boundaries and operational responsibilities.

01 / 06

model API orchestration

LLM Integration responsibilities include model api orchestration, related structured output validation, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.

model API orchestrationevaluation datasetsprompt injection defense
02 / 06

structured output validation

LLM Integration responsibilities include structured output validation, related evaluation datasets, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.

structured output validationprompt injection defenseprivacy boundaries
03 / 06

evaluation datasets

LLM Integration responsibilities include evaluation datasets, related prompt injection defense, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.

evaluation datasetsprivacy boundarieslatency budgets
04 / 06

prompt injection defense

LLM Integration responsibilities include prompt injection defense, related privacy boundaries, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.

prompt injection defenselatency budgetsmodel API orchestration
05 / 06

privacy boundaries

LLM Integration responsibilities include privacy boundaries, related latency budgets, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.

privacy boundariesmodel API orchestrationstructured output validation
06 / 06

latency budgets

LLM Integration responsibilities include latency budgets, related model api orchestration, clear test coverage and a reliable production handover. Examine the actual tooling and deployment environment.

latency budgetsstructured output validationevaluation datasets

/ Project scenarios

LLM Integration — Production problems the role can address

01

Introduce model features into existing software

Introduce model features into existing software. Define constraints around model api orchestration, map dependencies and test how the proposed implementation behaves under real operating conditions.

02

Validate structured results reliably

Validate structured results reliably. Define constraints around structured output validation, map dependencies and test how the proposed implementation behaves under real operating conditions.

03

Reduce hallucinations through evaluations

Reduce hallucinations through evaluations. Define constraints around evaluation datasets, map dependencies and test how the proposed implementation behaves under real operating conditions.

04

Handle sensitive input and access controls

Handle sensitive input and access controls. Define constraints around prompt injection defense, map dependencies and test how the proposed implementation behaves under real operating conditions.

/ Practical evaluation

LLM Integration — Evaluate real ownership, not keywords.

A senior engineering interview should surface directly relevant implementation details, debugging history and operational judgment.

  1. 01

    model API orchestration

    Describe a production issue involving model API orchestration and what evidence led to a fix.

  2. 02

    structured output validation

    Which decisions around structured output validation and evaluation datasets were you personally accountable for?

  3. 03

    evaluation datasets

    Describe a production issue involving evaluation datasets and what evidence led to a fix.

  4. 04

    prompt injection defense

    Which decisions around prompt injection defense and privacy boundaries were you personally accountable for?

/ Sourcing process

LLM Integration — From system brief to relevant engineering candidates

01 / 04

Clarify production context

Define platform versions, deployment constraints, traffic patterns, required integrations and ownership.

02 / 04

Activate relevant sources

Search the active network and partner channels for platform-specific engineering experience.

03 / 04

Review technical evidence

Discuss real systems, code or configuration decisions, troubleshooting and change control.

04 / 04

Agree on collaboration

Confirm role boundaries, location or remote access, availability, security and interviews.

Profiles, availability and engagement terms are confirmed for each request.

/ Questions

LLM Integration — Questions before hiring

01Can you source LLM Integration engineers with experience in model API orchestration?

Yes. Tell us the relevant versions, operational environment and the responsibilities connected to model API orchestration. We qualify hands-on experience during each search.

02Can the role cover structured output validation and evaluation datasets?

These can be included when central to the project. We distinguish practical implementation work from general familiarity and ask about failure scenarios and testing.

03How is seniority assessed for LLM Integration?

We look at production decisions, trade-offs, incident diagnosis, code or infrastructure ownership and the ability to explain decisions without relying on a technology checklist.

04How do we start a search for LLM Integration?

Share your architecture, technical constraints, collaboration model and priorities. We can then discuss relevant sourcing channels, evaluation criteria and next steps.

/ Onectus · TEAMS

Describe the systems you operate.

Tell us the technology, production responsibilities, experience level and working model. We'll activate the appropriate engineering sourcing channels.

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