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.
Skills Required
- 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 language such as Go, TypeScript, Java, or C#
- Experience with 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 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 in ambiguous and fast-moving environments
- Ability to evaluate technical trade-offs related to AI solutions, including build vs. buy and model optimization strategies
- Excellent communication and collaboration 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
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
