#846 - AI Engineer

Venon Solutions; Leon (IA); Remote; USD 110,000 - 160,000; Full time

Job summary

A growing company in AI product development is seeking an AI Engineer to oversee the complete product lifecycle. Responsibilities include developing scalable AI applications, optimizing vector search solutions, and collaborating with cross-functional teams. This role requires advanced Python skills, extensive experience in AI/ML, and exceptional communication abilities. Competitive salary and full-time engagement are offered, focusing on innovation within AI technologies.

Benefits

2 weeks of PTO

US holidays

Competitive salary

Qualifications

• 5+ years of experience as a software engineer, ML engineer, or AI engineer.
• Strong expertise in Python, cloud architecture, and vector databases.
• Advanced English communication for technical discussions.

Responsibilities

• Build and deploy AI-driven systems and applications using OpenAI, Langchain, and LangGraph.
• Design scalable AI pipelines and optimize vector search solutions.
• Communicate technical concepts clearly to non-technical stakeholders.

Skills

Python development

Advanced English

communication skills

cloud-native architecture

API development

vector databases

Tools

AWS services

Langchain

LangGraph

Pulumi/CDK

Weights & Biases

Langsmith

Job description

Job Opportunity only available for residents in Latin America.

As a AI Engineer, you will work across the full lifecycle of AI product development from prototyping and proof-of-concept, through to scalable production systems. You will drive innovation in a fast-moving environment, leveraging LLMs, custom embeddings, vector search, and LLMOps practices. You'll collaborate with Product, Research, and Engineering teams to create reliable, maintainable AI capabilities integrated seamlessly into our core products.

You will help shape our AI engineering best practices, contribute to infrastructure decisions, and play a pivotal role in our broader technical direction around AI/ML.

Qualifications

Required:

• Advanced English for fluent communication (B2 or Higher).
• 5+ years of experience as a software engineer, ML engineer, or AI engineer.
• Strong Python development skills, particularly around APIs, backend services, and AI/ML libraries.
• Experience with AWS services (Lambda, S3, Bedrock, ECS, etc.) and cloud-native architecture.
• Hands-on experience with vector databases and embedding techniques (e.g., pgvector, FAISS, Pinecone, or similar).
• Experience building applications powered by OpenAI models and/or Bedrock foundation models, using frameworks like Langchain and LangGraph.
• Ability to work autonomously to take projects from concept to production.
• Excellent communication skills with the ability to explain technical details to diverse audiences.

Preferred:

• Experience working in the private markets, fintech, or financial services sectors.
• Prior experience integrating AI/ML into production-grade systems at scale.
• Exposure to Retrieval-Augmented Generation (RAG) pipelines and prompt engineering.
• Experience contributing to architectural decisions for AI-driven platforms.
• Experience working in small teams (25 engineers).

Key Responsibilities

• Build and deploy AI-driven systems and applications using OpenAI, Amazon Bedrock, Langchain, and LangGraph.
• Design, implement, and optimize vector search solutions with pgvector and custom embeddings.
• Prototype, fine-tune, and productionize LLM-based and retrieval-augmented generation (RAG) solutions; develop input/output guardrails to ensure model safety, reliability, and alignment with business goals. Design and maintain robust evaluation pipelines to monitor model performance, correctness, and drift over time.
• Infrastructure & Scaling:
  • Develop scalable AI pipelines and infrastructure on AWS using Python, Pulumi/CDK, and Github Actions.
  • Integrate tracing and experiment tracking tools (e.g., Weights & Biases, Langsmith) to monitor system behavior, performance metrics, and model quality over time.
• Work closely with cross-functional partners in Product, Research, and Engineering to align technical work with business needs.
• Communicate technical concepts clearly to non-technical stakeholders and executive leadership.
• Ownership:
  • Operate across the full spectrum from prototype (0-1) to scalable, production-grade solutions.
  • Contribute to decisions around architecture, tooling, and technology choices for AI initiatives.

What do we offer?

• Competitive salary in USD.
• Type of contract: Independent Contractor with Venon Solutions LLC.
  
• Benefits: 2 weeks of PTO (paid time off).
  
• Holidays: from the US' calendar.
  
• Working hours: Full-time, overlapping between EST and PST, fully committed.