Senior AI/ML Engineer

In this position, you will collaborate closely with our engineering team and client stakeholders to design, implement, and deploy agent-driven workflows powered by advanced language models, ensuring automation of critical business operations with a strong emphasis on reliability, security, and regulatory compliance.

This role places a significant emphasis on performance optimization: identifying bottlenecks, minimizing latency, and enhancing throughput and cost-effectiveness across all components—from model and API interactions, retrieval processes, orchestration layers, and tool integrations to infrastructure. The ideal candidate excels in navigating uncertain technical challenges, recommending practical architectural solutions, and rapidly moving from proof-of-concept to robust production systems, all while maintaining rigorous monitoring and evaluation standards.

Requirements:

• Strong proficiency in Python, experience with web frameworks like FastAPI or similar
• Understanding of the AI application development lifecycle
• Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks
• Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)
• Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
• Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability
• Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
• Proven experience in AI engineering and delivering ML-based solutions
• Strong problem-solving skills and attention to detail
• Excellent communication, collaboration, and interpersonal skills
• At least Upper Intermediate English level

Responsibilities:

• Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
• Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
• Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be +)
• Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be +)
• Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
• Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes

What we offer:

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities or health insurance covering (up to 250$ per year) — after the trial period.
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.