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Open nowPosted 5 hours ago

Junior Applied AI Engineer (LLM Systems)

Encora359 open roles

Where
Latin America
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Your applicationOpen nowJunior Applied AI Engineer (LLM Systems)Encora · Latin America

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Encora postings stay open a median of 11 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 5 hours ago

Encora median: 11 days open

The posting

Job Title

Junior Applied AI Engineer (LLM Systems)

Key Skills

LLMs, Generative AI, AWS Bedrock, Prompt Engineering, AI Agent Evaluation, Langfuse, Python, FastAPI, MCP, Guardrails & Moderation, REST APIs, Git

Experience

1-3+ years of experience in AI/ML Engineering, Applied AI, Data Science, or related fields.

Location

LATAM (Remote)

Mode

Remote

We at Coforge are hiring Junior Applied AI Engineer (LLM Systems) (20848-10-1) with the following skill set.

Key Responsibilities

  • Design and execute evaluation frameworks for AI agents, including test datasets, LLM-as-a-Judge methodologies, human reviews, and regression testing.
  • Build, configure, and optimize AI guardrails and moderation systems for regulated domains such as financial services and credit products.
  • Develop, test, and continuously improve prompts based on evaluation results and production trace analysis.
  • Create and maintain MCP (Model Context Protocol) servers and tool integrations that enable AI agents to interact with internal data and services.
  • Support fine-tuning and evaluation of language models using domain-specific datasets.
  • Prototype and validate AI workflows using System One models such as Jev and Laya for classification, routing, and verification tasks.
  • Monitor AI system quality, latency, performance, and costs through Langfuse and implement improvement initiatives.
  • Collaborate with Engineering, Data Science, and Compliance teams to ensure AI solutions are reliable, secure, and compliant.

Required Skills & Qualifications

  • 1-3+ years of experience in Machine Learning, Applied AI, Data Science, or Software Engineering.
  • Experience working with Large Language Models (LLMs) and AI-powered applications.
  • Knowledge of LLM evaluation techniques, including benchmark datasets, scoring frameworks, and LLM-as-a-Judge approaches.
  • Understanding of AI agent behavior across multi-turn conversations and tool-calling workflows.
  • Experience with prompt engineering, structured outputs, and prompt optimization.
  • Familiarity with AI safety concepts including moderation, prompt injection prevention, jailbreak mitigation, and guardrails.
  • Hands-on experience with AWS cloud services, preferably Amazon Bedrock.
  • Experience with Langfuse or similar observability and evaluation platforms for LLM applications.
  • Strong programming skills in Python.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Knowledge of software engineering best practices including unit testing, code reviews, and Git-based development workflows.
  • Advanced English communication skills (written and verbal).

Preferred Skills

  • Experience developing MCP (Model Context Protocol) servers.
  • Hands-on experience with fine-tuning LLMs using techniques such as LoRA or full fine-tuning.
  • Familiarity with Small Language Models (SLMs), model distillation, and deployment strategies.
  • Exposure to System One models such as Jev and Laya.
  • Experience in financial services, fintech, banking, or other regulated industries.
  • Knowledge of AI evaluation, observability, and production monitoring best practices.

Posted On

27-10-2026

At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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