AI Engineer / Programmer

OrciMed Life Sciences Philippines OPC; Metro Manila; Remoto; PHP 700.000 - 1.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

100% Remote

Descrizione del lavoro

OrciMed Life Sciences Philippines OPC is hiring an experienced AI Engineer to design, develop, and deploy production-grade AI applications using LLMs, RAG, and agentic workflows. You will collaborate with stakeholders to translate business needs into scalable AI-driven solutions and integrate with enterprise systems.

The role emphasizes building AI-powered applications, document intelligence, and workflow automation while ensuring governance, security, and cost efficiency in cloud environments.

Competenze

• Minimum 3 years of professional software development experience
• Strong proficiency in Python and SQL
• Experience developing APIs, backend services, integrations, and enterprise applications
• Experience working with commercial and open-source LLMs

Mansioni

• Design, develop, test, and maintain AI-powered applications, assistants, chatbots, and workflow automations.
• Build solutions leveraging LLM APIs, prompt engineering, structured outputs, tool calling, and Retrieval-Augmented Generation (RAG).
• Develop scalable backend services, APIs, and integrations to support AI solutions.
• Optimize AI application performance, reliability, accuracy, and cost efficiency.
• Build document ingestion and retrieval pipelines.
• Implement document parsing, chunking, embeddings generation, indexing, and metadata management.
• Develop enterprise knowledge retrieval solutions utilizing vector databases and semantic search technologies.
• Ensure data quality, retrieval accuracy, and contextual relevance.
• Design and implement multi-step agentic workflows.
• Build AI agents with clear permissions, approval checkpoints, and error-handling mechanisms.
• Develop and integrate external tools, MCP servers.
• Implement intelligent workflow automations that improve business operations and productivity.
• Integrate AI applications with enterprise systems, databases, APIs, and document repositories.
• Deploy and manage AI solutions on cloud platforms and containerized environments.

Conoscenze

Python

SQL

APIs

Backend services

LLMs

Formazione

Bachelor's Degree in CS/SE/IS or related field

Strumenti

Pinecone

FAISS

ChromaDB

Weaviate

LangChain

LlamaIndex

Descrizione del lavoro

100% Remote | Graveyard Shift
Philippines-Based Candidates Only
Applicants must be legally authorized to work in the Philippines

About the Role

We are seeking an experienced AI Engineer / Programmer to design, develop, and deploy production-grade AI applications that solve real business challenges.

This role is ideal for a software engineer who has hands‑on experience building LLM-powered applications, AI assistants, RAG solutions, workflow automations, and agentic systems. You will work closely with business stakeholders, product teams, and developers to transform business requirements into scalable AI-driven solutions.

If you're passionate about Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud technologies, we'd love to hear from you.

Key Responsibilities

AI Application Development

• Design, develop, test, and maintain AI-powered applications, assistants, chatbots, and workflow automations.

• Build solutions leveraging LLM APIs, prompt engineering, structured outputs, tool calling, and Retrieval-Augmented Generation (RAG).

• Develop scalable backend services, APIs, and integrations to support AI solutions.

• Optimize AI application performance, reliability, accuracy, and cost efficiency.

Document Intelligence & Knowledge Systems

• Build document ingestion and retrieval pipelines.

• Implement document parsing, chunking, embeddings generation, indexing, and metadata management.

• Develop enterprise knowledge retrieval solutions utilizing vector databases and semantic search technologies.

• Ensure data quality, retrieval accuracy, and contextual relevance.

AI Agents & Workflow Automation

• Design and implement multi‑step agentic workflows.

• Build AI agents with clear permissions, approval checkpoints, and error‑handling mechanisms.

• Develop and integrate external tools, APIs, and Model Context Protocol (MCP) servers.

• Implement intelligent workflow automations that improve business operations and productivity.

Cloud & Enterprise Integration

• Integrate AI applications with enterprise systems, databases, APIs, business applications, and document repositories.

• Deploy and manage AI solutions on cloud platforms and containerized environments.

• Support cloud‑hosted and on‑premises AI deployments.

Governance, Security & Monitoring

• Implement authentication, authorization, secrets management, logging, and data access controls.

• Address AI risks, including prompt injection, hallucinations, unsupported responses, and unintended data exposure.

• Establish prompt versioning, change management, and governance practices.

• Monitor model performance, latency, costs, usage patterns, and accuracy.

Stakeholder Collaboration

• Collaborate with business stakeholders to define use cases, requirements, acceptance criteria, and success metrics.

• Translate business needs into maintainable and scalable technical solutions.

• Communicate technical concepts and trade‑offs to both technical and non‑technical audiences.

Required Qualifications

• Minimum 3 years of professional software development experience, including hands‑on experience building AI or LLM‑based applications.

• Strong proficiency in Python and SQL.

• Experience developing APIs, backend services, integrations, and enterprise applications.

• Experience working with commercial and open‑source LLMs.

AI & Machine Learning Expertise

• Hands‑on experience with:

  • OpenAI

  • Azure OpenAI

  • Anthropic Claude

  • Hugging Face

  • Ollama

  • Transformers

  • Tokenizers

  • Datasets

• Experience building:

  • RAG applications

  • AI assistants

  • Semantic search solutions

  • Knowledge retrieval systems

  • Conversational AI platforms

Vector Databases & Retrieval

• Experience with:

  • Pinecone

  • FAISS

  • ChromaDB

  • Weaviate

  • Equivalent vector database technologies

• Strong understanding of:

  • Embeddings

  • Retrieval strategies

  • Indexing techniques

  • Metadata filtering

Fine-Tuning & Model Adaptation

• Experience with:

  • LoRA

  • QLoRA

  • PEFT

  • Supervised Fine‑Tuning (SFT)

  • Model Distillation

• Understanding of when to use model fine‑tuning versus Retrieval‑Augmented Generation (RAG).

AI Workflow & Agent Frameworks

• Experience designing and implementing agent‑based systems using:

  • LangGraph

  • LangChain

  • LlamaIndex

  • CrewAI

  • AutoGen

  • Custom orchestration frameworks

• Experience building and integrating MCP servers and external tool connectors.

Data & Database Skills

• Strong SQL and database development skills.

• Understanding of:

  • Relational databases

  • Data modeling

  • ETL processes

  • Data transformation

  • Data integration

Cloud & DevOps

• Experience deploying applications on:

  • Microsoft Azure

  • AWS

  • Google Cloud Platform (GCP)

• Experience with:

  • Azure AI Foundry

  • AWS Bedrock

  • Docker

  • CI/CD Pipelines

  • Git

  • Automated Testing

  • Containerized Inference Services

Security & Architecture

• Understanding of:

  • Application security

  • Identity management

  • Access controls

  • Enterprise data protection

  • Secure AI deployment practices

Education

• Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related field.

• Equivalent practical experience will also be considered.

Preferred Qualifications

• Experience deploying production AI applications serving internal or external users.

• Experience with GPU‑based inference and optimization.

• Familiarity with:

  • LangSmith

  • Langfuse

  • Arize Phoenix

  • AI observability and monitoring platforms

• Experience working with enterprise document repositories and business applications.

• Experience supporting AI governance, responsible AI initiatives, and compliance requirements.

Ideal Candidate

We're looking for someone who:

Has built and deployed production AI applications using LLMs

Understands RAG, vector databases, and agentic workflows

Can balance AI innovation with security, governance, and maintainability

Enjoys solving complex business challenges through technology

Can communicate effectively with both technical and non‑technical stakeholders

Thrives in a fast‑paced, highly collaborative environment

Why Join Us?

100% Remote Work Setup
Exposure to Cutting‑Edge AI Technologies
Opportunity to Build Enterprise‑Scale AI Solutions
Work with Global Teams and Modern Cloud Platforms
Career Growth in Artificial Intelligence and Software Engineering
Competitive Compensation and Long‑Term Career Opportunities