AI Developer

Reposted 3 Days Ago
Hiring Remotely in TX, USA
Remote
Mid level
Cloud • Information Technology • Robotics • Cybersecurity • App development • Big Data Analytics
We #TakeITFurther
The Role
Design, build, deploy, and maintain production AI solutions and agents using Python or .NET on Azure. Implement RAG pipelines, semantic search and vector DBs, work with large-scale data (Databricks/SQL), evaluate model performance, and collaborate with engineers and analysts to productionize experiments.
Summary Generated by Built In
Location: On-site, 5 days per week
About the Role
We're hiring a hands-on AI Developer with strong expertise in Python or .NET, cloud platforms, and modern data tooling to join our multidisciplinary AI team. You'll work alongside AI engineers/developers and business analysts to build, ship, and iterate on real production AI solutions.
This role is ideal for someone who thrives in a fast-paced environment where they own work end-to-end: prototyping, building, deploying, and refining. If you've come up through a smaller company or startup where you wore multiple hats and shipped real systems, you'll feel right at home.
What You'll Do
·Design, develop, deploy, and maintain AI solutions using Python and/or .NET.
·Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework.
·Build and optimize cloud-native applications on Azure.
·Work with large-scale data in Databricks.
·Partner with AI engineers/developers and business analysts to turn ideas and experiments into production systems.
·Apply critical thinking to evaluate model performance, troubleshoot complex issues, and improve system efficiency.
·Communicate clearly with both technical and non-technical stakeholders.
·Prototype quickly, test rigorously, and iterate often.
Tech You'll Touch
Core: Python · .NET · Azure · Databricks (data platform) AI stack: Azure OpenAI · Azure AI Foundry · Azure AI Search · Microsoft Copilot Studio · Semantic Kernel · Vector Databases · RAG (Retrieval-Augmented Generation) · Semantic Search · Agentic AI · MCP (Model Context Protocol)
Required Qualifications
·Professional experience building production systems with Python or .NET (proficiency in both is a strong plus).
·Strong working knowledge of cloud services and architecture patterns — Azure preferred (or equivalent experience in AWS or GCP, with willingness to ramp on Azure).
·Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines.
·Hands-on experience building AI agents with Microsoft Copilot StudioSemantic Kernel Agent Framework, or an equivalent agent framework (e.g., LangGraph, AutoGen, CrewAI).
·Hands-on experience with at least two of the following:
o   Azure AI Search (or equivalent vector/semantic search platform — Pinecone, Weaviate, pgvector, Elasticsearch with vector, AWS Kendra/OpenSearch)
o   Vector databases
o   Semantic search
o   Agentic AI systems (multi-step reasoning, tool use, orchestration)
·Comfort working with SQL and large-scale data platforms (Databricks experience is a plus, but the syntax is approachable if you know SQL).
·Excellent communication and critical-thinking skills.
·Background in a smaller company or startup environment with significant ownership of technical work.
Nice to Have
·Proficiency in both Python and .NET.
·Direct hands-on experience with Microsoft Copilot Studio and/or Semantic Kernel specifically.
·Hands-on experience with Databricks specifically.
·Practical ML experience (model training, evaluation, deployment).
·Familiarity with Azure AI Foundry (or equivalent — AWS Bedrock, Google Vertex AI) and Azure OpenAI (or equivalent managed LLM service) in production.
·Experience with MCP (Model Context Protocol) or similar agent-tooling standards.
 

 

Skills Required

  • Professional experience building production systems with Python or .NET
  • Strong working knowledge of cloud services and architecture patterns (Azure preferred; AWS or GCP acceptable)
  • Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines
  • Hands-on experience building AI agents with Microsoft Copilot Studio, Semantic Kernel Agent Framework, or equivalent agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
  • Hands-on experience with at least two of: Azure AI Search, Vector databases, Semantic search, Agentic AI systems
  • Comfort working with SQL and large-scale data platforms (Databricks experience is a plus)
  • Excellent communication and critical-thinking skills
  • Background in a smaller company or startup environment with significant technical ownership
  • Proficiency in both Python and .NET
  • Direct hands-on experience with Microsoft Copilot Studio and/or Semantic Kernel
  • Hands-on experience with Databricks
  • Practical ML experience (model training, evaluation, deployment)
  • Familiarity with Azure AI Foundry and Azure OpenAI (or equivalents like AWS Bedrock, Google Vertex AI) in production
  • Experience with MCP (Model Context Protocol) or similar agent-tooling standards
Am I A Good Fit?
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The Company
HQ: Makati
621 Employees
Year Founded: 2003

What We Do

Founded in 2003 by pioneers of the Philippine Global Sourcing industry, Pointwest creates value for its list of satisfied clients — including top Fortune 100 and local companies — with world-class Digital Technology and BPM services backed by international-standard methodologies, and innovative practices. With leadership affirmed through the International ICT Awards’ Hall of Fame recognition for “Best Filipino-Owned Company,” and excellence seen with its extensive industry experience in financial services, retail, transportation, logistics, travel, healthcare, utilities, media, and the public sector, Pointwest transforms businesses for the fourth industrial revolution with digital offerings in Data Analytics, Data Management, Robotic Process Automation, Experience Design, Cyber Security, Mobility, and Cloud Computing. Pointwest is proud to bring the mark of Filipino IT and BPM excellence to all corners of the globe, with strong presence in the United States, Japan, Australia, New Zealand and Singapore.

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