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Encora

Principal Senior AI Engineer

Posted 12 Days Ago
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Remote
Hiring Remotely in Chile
Senior level
Remote
Hiring Remotely in Chile
Senior level
Lead design and delivery of production-grade AI features and platforms. Build backend LLM orchestration, RAG pipelines, evaluation systems, and front-end experiences. Architect scalable, cost-efficient AI workflows, define best practices, mentor engineers, and collaborate with Product and Design to prioritize MVPs and technical trade-offs.
The summary above was generated by AI

Job Title: Principal Senior AI Engineer
Key Skills: LLMs, RAG Pipelines, TypeScript, Python, React, AWS, Node.js, AI Evaluation, Prompt Engineering, Full-Stack Development
Experience: +5 YOE
Location: LATAM (Exclusive residents)


We at Coforge are hiring a Principal Senior AI Engineer (21707) with the following skill set.

Key Responsibilities

  • Own and drive the technical direction for AI-enabled products and tooling, transforming AI solutions from beta to scalable production-grade platforms
    Design, develop, and deploy full-stack AI features end-to-end, including backend LLM orchestration, retrieval pipelines, evaluation systems, and frontend user experiences
  • Architect and optimize AI workflows focused on model selection, prompting strategies, retrieval-augmented generation (RAG), latency, safety, scalability, and cost efficiency
  • Identify and implement new opportunities to integrate Generative AI into existing software platforms and workflows
  • Collaborate closely with Product, Design, and Engineering teams to prioritize features, define MVPs, and balance speed with long-term scalability
  • Build and maintain robust backend services and APIs using modern cloud-native technologies
  • Establish best practices for AI engineering including observability, evaluation frameworks, guardrails, testing, CI/CD, and monitoring
  • Provide mentorship and technical leadership to engineers working on AI and platform initiatives
  • Contribute actively to software architecture discussions and technical decision-making processes
  • Communicate effectively with technical and non-technical stakeholders, translating business challenges into scalable engineering solutions

Required Skills & Qualifications

  • 5+ years of professional software engineering experience building and shipping production applications
  • 2+ years of hands-on experience developing AI-enabled products using LLM APIs and Generative AI technologies
  • Proven experience designing and implementing RAG pipelines, prompt workflows, and AI evaluation strategies
  • Strong full-stack engineering capabilities across backend services and frontend development
  • Proficiency in at least one statically typed programming language such as Go, TypeScript, Java, or C#
  • Experience with modern frontend frameworks such as React and backend technologies like Node.js or Python
  • Strong understanding of REST APIs, distributed systems, cloud-native architectures, and scalable application design
  • Experience of working with AWS or other major cloud platforms
  • Solid software engineering practices including testing, code reviews, CI/CD, and observability
  • Strong problem-solving and decision-making skills, especially in ambiguous and fast-moving environments
  • Ability to evaluate technical trade-offs related to AI solutions, including build vs. buy decisions and model optimization strategies
  • Excellent communication and collaboration skills

Preferred Skills

  • Experience scaling AI products in startup or high-growth environments
    Hands-on experience with TypeScript, Node.js, React, Go, C#, Python, PostgreSQL, and AWS
  • Experience with AI evaluation infrastructure, LLM guardrails, and observability platforms
  • Knowledge of model fine-tuning, ML experimentation, or broader machine learning workflows
  • Experience building developer tools, DevOps platforms, CI/CD solutions, or source-control-related products
  • Familiarity with industrial automation, manufacturing software, IoT platforms, or operational technology environments
  • Experience mentoring engineers and leading technical initiatives across teams
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Posted On: 06-06-2026

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

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