Encora

Senior Data & AI Engineer

Peru

Live, first seen by us 22 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Design and maintain AI-powered applications and backend services, including LLM and agentic solutions
Build scalable data ingestion and transformation pipelines with Databricks, DBT, and Spark
Design data architectures covering modeling, governance, data quality, and observability
Drive technical decisions and engineering practices to deliver production-ready solutions with teams

From the employer’s posting

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.

What you’ll bring

All qualifications

Preferred experience

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

Qualification wording

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

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.

Apply at Encora

Posting record

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Status in our records: Live
First seen by us: Oct 13, 202622 days ago
Recorded sightings: 204
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 22

Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

Encora is hiring

25 open jobs

Open jobs by the week we first saw them, last 12 weeks.

ML Engineer hiring is picking up
Takes jobs down quickly

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
TypeScript
AWS
Databricks
dbt
Delta Lake
Fivetran
Spark

Where the posting names them

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.

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.

- 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 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.

Preferred Skills: - Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks. - Background in conversational AI, agent-based systems, and AI platform development.

- 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.

- 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.

- 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.

- 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.

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Has Encora posted this job before?

Yes. We’ve followed one other Senior Data & AI Engineer job there since October 2026. It is still up.

Place not statedStill up after 22 days, first seen Oct 13
This jobUp 22 days so far, first seen Oct 13

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

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