Senior Data & AI Engineer

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in Perú
Remote
Senior level
Software • Consulting
The Role
Design and build AI-powered applications, backend services, and agentic LLM solutions using Python, TypeScript, and AWS. Develop scalable data ingestion and transformation pipelines with Databricks, DBT, and Apache Spark. Establish data architectures, modeling, governance, quality, monitoring, and observability. Collaborate cross-functionally to deliver reliable production systems and guide technical decisions, engineering practices, and platform scalability.
Summary Generated by Built In

Job Title: Senior Data & AI Engineer

Key Skills: Python, SQL, AWS, Databricks, Apache Spark, DBT, Generative AI, LLMs, Data Engineering, Data Architecture, TypeScript

Experience: 7+ YOE.

Location: Costa Rica, Peru, Colombia, Bolivia.

Mode: Remote

We at Coforge are hiring Senior Data & AI Engineer (#22552) with the following skill set.

Key Responsibilities

  • Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS, including agentic and LLM-powered solutions.

  • Build scalable end-to-end data ingestion and transformation pipelines using Databricks, DBT, Apache Spark, and related technologies.

  • Design and implement scalable data architectures, modeling, governance, data quality, monitoring, and observability across AI and data platforms.

  • Collaborate with Engineering, Product, Data, and Business teams to deliver production-ready solutions while driving technical decisions, engineering practices, scalability, and reliability.

Required Skills & Qualifications

  • 7+ years of software engineering experience delivering production-grade systems.

  • Strong expertise in Python and SQL.

  • Experience building cloud-native applications, preferably on AWS.

  • Strong hands-on experience with Databricks, Apache Spark, and modern data engineering practices.

  • Experience designing APIs, backend services, workflows, and distributed systems.

  • Hands-on experience developing AI or LLM-powered products in production environments.

  • Strong knowledge of data architecture, data modeling, governance, and data quality frameworks.

  • Experience with DBT transformation pipelines, testing, and data validation.

  • Knowledge of scalable data architectures such as Medallion Architecture, Data Vault 2.0, and dimensional modeling.

  • Excellent communication and cross-functional collaboration skills in fast-paced environments.

Preferred Skills:

  • Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks.

  • Background in conversational AI, agent-based systems, and AI platform development.

  • Experience with Fivetran, Delta Lake, and modern analytics ecosystems.

  • Knowledge of CI/CD practices for Data and AI Engineering.

  • Experience implementing monitoring, observability, and governance solutions for AI and data platforms.

  • Familiarity with internal developer platforms, low-code solutions, or productivity tooling.

Posted On: 12-10-2026

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

  • 7+ years of software engineering experience delivering production-grade systems
  • Strong expertise in Python and SQL
  • Experience building cloud-native applications, preferably on AWS
  • Strong hands-on experience with Databricks, Apache Spark, and modern data engineering practices
  • Experience designing APIs, backend services, workflows, and distributed systems
  • Hands-on experience developing AI or LLM-powered products in production environments
  • Strong knowledge of data architecture, data modeling, governance, and data quality frameworks
  • Experience with DBT transformation pipelines, testing, and data validation
  • Knowledge of Medallion Architecture, Data Vault 2.0, and dimensional modeling
  • Excellent communication and cross-functional collaboration skills
  • Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks
  • Background in conversational AI, agent-based systems, and AI platform development
  • Experience with Fivetran, Delta Lake, and modern analytics ecosystems
  • Knowledge of CI/CD practices for Data and AI Engineering
  • Experience implementing monitoring, observability, and governance solutions for AI and data platforms
  • Familiarity with internal developer platforms, low-code solutions, or productivity tooling

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.

  • 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.
  • 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.
  • 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.

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The Company
Chennai
7,456 Employees
Year Founded: 1980

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

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