Lead Software Engineer

Location:

About Forage AI:

Python

Role Overview (Engineering Lead, Hands-on):

strong hands-on

You are expected to stay deeply involved in architecture, development, and delivery, while also owning team execution, quality, and growth.

Key Responsibilities:

• Own

  endtoend delivery

  of projects: requirements, scoping, design, implementation, testing, deployment, and operations.
• Architect

  scalable, faulttolerant

  systems for crawling, parsing, enrichment, and data processing.

• Write production code

  in Python; set standards via

  code reviews

  , design docs, and reference implementations.
• Mentor and grow engineers: coaching on design, coding best practices, observability, and operational excellence.
• Collaborate with stakeholders/clients: translate business needs into clear technical plans; manage risks and tradeoffs.
• Establish

  engineering best practices

  (branching strategy, CI/CD, testing strategy, security baselines, SLAs/SLOs, incident/RCA processes).
• Partner with QA/Ops to ensure quality gates, deployment hygiene, and oncall readiness.
• Drive adoption and effective usage of

  GenAI and AI-agent

  systems. You are expected to have strong hands-on understanding of prompt engineering, agent design patterns, tool and function calling, RAG pipelines, evaluation techniques, and failure handling.

Required Qualifications:

• 7 to 11 years

  of software engineering experience, with proven experience

  leading engineering teams

  and delivering projects end to end.
• Expert in

  Python

  ; strong command over

  data structures/algorithms

  , concurrency, and distributed systems concepts.
• Deep experience with

  SQL

  and

  NoSQL

  (plus schema design/modeling); familiarity with

  vector databases

  .
• Proven track record designing and shipping

  cloudnative

  systems on

  AWS

  (S3, Lambda, ECS/EKS, SQS/SNS, RDS/DynamoDB, CloudWatch, IAM).
• Significant experience building and operating

  crawlers/parsers

  and robust

  ETL/ELT

  pipelines.

• GenAI and LLM

  experience, with hands-on exposure to LangChain, CrewAI, or LlamaIndex, prompt engineering, agent-based workflows, RAG pipelines, evaluation strategies, and quality controls.
• Hands-on experience with

  CI/CD

  and containerization, including GitHub Actions or Jenkins, Docker, and Kubernetes.
• Experience reviewing code, defining architecture, enforcing coding standards, and guiding teams toward scalable and maintainable designs.
• Strong proficiency with

  Git, testing strategies

  (unit, integration, and end-to-end), observability practices (logging, metrics, tracing), and performance tuning.
• Excellent communication: produces highquality design docs and gives actionable, empathetic feedback.

Preferred / Good to Have (Prioritized)

• Data Pipelines/Big Data

  :

  Airflow

  ,

  Spark

  ,

  Kafka

  , or equivalents.

• Infra as Code & Cloud Ops

  : Terraform/CloudFormation; security hardening, cost/performance optimization, capacity planning.

• Frontend/JS

  :

  not required

  ; basic JS or frontend exposure is

  nicetohave

  only.
• Exposure to

  GCP/Azure

  .
• Experience with interviewing, onboarding, and developing talent.

What Success Looks Like:

• Consistent delivery of well-designed, reliable systems with clear documentation and measurable reliability.
• Teams that ship high-quality code under your guidance, with junior engineers growing through active mentorship.
• Thoughtful technical decisions that balance delivery speed, cost, security, and long-term maintainability.

WorkfromHome Requirements:

• Highspeed 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.