Location: Remote (Work from Home)

About Forage AI

ForageAI builds next‑generation systems for data collection and processing — large‑scale web crawling, document parsing, data pipelines, and automation. We work primarily in Python, leverage cloud‑native designs (mainly AWS, with exposure to GCP/Azure), and increasingly apply GenAI and AI agents across our stack. Every developer owns their module and collaborates closely with peers in a high‑ownership, high‑trust environment

Role Overview

As a Jr. Software Engineer, you will work on software systems for data collection, processing, enrichment, and automation at scale. This is a hands-on engineering role where you will write production-quality code, debug real-world data problems, work with data pipelines, and gradually take ownership of modules.

You will also get opportunities to work with GenAI-based systems, LLM workflows, AI agents, and modern coding assistants. We encourage the use of coding co-pilots and AI tools, but with strong engineering discipline.

Key Responsibilities:

• Develop and maintain Python applications for crawling, parsing, enrichment, and processing of large datasets.
• Build and operate data workflows/ Datapipelines, ETL/ELT, including validation, monitoring, and error‑handling.
• Work with SQL and NoSQL (plus vector databases/data lakes) for modeling, storage, and retrie
• val.· Contribute to system design using cloud‑native components on AWS (e.g., S3, Lambda, ECS/EKS, SQS/SNS, RDS/DynamoDB, CloudWatch).
• Build LLM-based systems, RAG workflows, AI agents, and GenAI-enabled automation modules. Use coding co-pilots and AI development tools responsibly to improve productivity, while ensuring the code is understood, tested, secure, and maintainable.
• Implement and consume APIs/microservices; write clear contracts and documentation.
• Write unit/integration tests, perform debugging and profiling; contribute to code reviews and maintain high code quality.
• Implement observability (logging/metrics/tracing) and basic security practices (secrets, IAM, least privilege).
• Collaborate with Dev/QA/Ops; ship incrementally using PRs and design docs.

Required Qualifications

• 2–3 years of professional software engineering experience.·
• Strong proficiency in Python; good knowledge of data structures/algorithms and basic software design principles.
• Hands‑on with SQL and at least one NoSQL store; familiarity with vector databases is a
• plus.
• Experience with web scraping frameworks (e.g., Scrapy, Selenium/Playwright, BeautifulSoup) and resilient crawling patterns (respect robots/rotations/retries).
• Practical understanding of system design and distributed systems basics.
• Exposure to AWS services and cloud‑native design; comfortable on Linux and with Git.
• GenAI & LLMs: experience with LangChain, CrewAI, LlamaIndex, prompt design, RAG patterns, and vector stores. (Candidates with this experience will be prioritized.)

Preferred / Good to Have (Prioritized):

• CI/CD & Containers: exposure to pipelines (GitHub Actions/Jenkins), Docker, and Kubernetes.
• Data Pipelines/Big Data: ETL/ELT, Airflow, Spark, Kafka, or similar.
• Infra as Code: Terraform/CloudFormation; basic cost‑ and performance‑optimization on cloud.
• Frontend/JS: not required; basic JS or frontend skills are a nice‑to‑have only.
• Exposure to GCP/Azure.

How We Work:

• Ownership of modules end‑to‑end (design → build → deploy → operate).
• Clear communication, collaborative problem‑solving, and documentation.
• Pragmatic engineering: small PRs, incremental delivery, and measurable reliability.

Work‑from‑Home Requirements

• High‑speed internet for calls and collaboration.
• A capable, reliable computer (modern CPU, 16GB + RAM).
• Headphones with clear audio quality.
• Stable power and backup arrangements.

Forage AI is an equal‑opportunity employer. We value curiosity, craftsmanship, and collaboration.