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2 matching jobs

  • Haskell
  • JavaScript
  • Python
  • Ruby
  • Scheme
  • TypeScript
  • Flask
  • Kafka
  • MongoDB
  • PostgreSQL
  • Ruby on Rails
  • React
  • Vue
  • AWS
  • Docker
  • Jenkins
  • Full-time

Location: San Francisco, CA

Remote: OK

Willing to Relocate: No

Programming Languages: Ruby, Scala, Javascript, Python, TypeScript, Haskell, Scheme

Programming Strengths: Data Structures and Algorithms, Data Engineering, Programming Language Theory, Type Theory, No-Code, AI&Prompt Engineering, Complex & Unusual Domains (Healthcare, Fintech, Music, Arts, Sciences)

Frameworks, Databases & Tools: Vue, React, Rails, Flask, Postgres, HBase, MongoDB, Kafka, Jenkins, AWS, Docker

Other Skills: Leading Teams & Managing Projects, Productizing LLMs, Managing Interview Pipelines, Architecting & Implementing Greenfield Solutions, Education & Team Growth, Leading Communication and Coordination Between Stakeholders Across Teams and Organizational Silos

CV: Available Upon Request

Email: poetic.artifice@gmail.com

I am a seasoned (>15 years experience) full-stack staff-level software engineer specializing in the backend, systems architecture, AI, platform engineering, internal tools, prototyping, and data engineering. In addition to strong programming and architectural skills, I'm a force multiplier for any team in either role through the three T's -- teaching, talking, and tooling. I also hold a US patent in the AI space.

In the past, I've taught a number of scientists and students to code in python; I've led and managed a number of high-impact engineering teams of up to 12; and pioneered a number of no- and low-code solutions for stream processing, data model and query generation, form building, workflow systems, and front-end construction for a variety of industries, including those with strong regulatory requirements and complex business rules such as healthcare and fintech. >10% of all medicare applications and millions of individuals currently flow through pioneering no-code systems I conceived and built and have ran in production for over a decade.

More recently, I've built a no-code automated form-filler; a no-code web scraper (and an AI for generating such scrapers from a spec and 1-3 example urls from a page); and a workflow engine for coordinating LLMs and other generative AI processes, and on top of this a platform for both minimizing hallucinations and working with documents that are far too large for existing context window inputs or outputs using a novel, patented process that I invented; and applied these tools to various contracted projects requiring analysis and and cross-checking of information and other forms of integrity across textual and video/audio corpus data in a variety of domains (fiction and non-fiction).

I am also an improvisational pianist, published poet, and I've created novel algorithms and tools for studying and composing both music and poetry, which I have given a talk on at a recent functional programming conference.

I have extensive experience working for and running startups, software consulting shops, with some mid-sized company engineering experience as well; these give me a unique insight into speaking with customers and internal stake-holders, translating between engineering and other departments, gathering requirements, aligning stake-holders across departments on a vision and attainable timeline, and architecting/building/taking ownership over significant internal and customer-facing areas of responsibility.

If any of the above seems like a match for you and your organization or project, don't hesitate to reach out. I am available for both full-time positions and short- and long-term contracts.

  • Go
  • Haskell
  • TypeScript
  • DuckDB
  • PostgreSQL
  • Redis
  • AWS
  • Kubernetes

TextQL | Senior Software Engineer (FT) | ONSITE | New York City | $200k Salary - $400k Total Compensation

Company: TextQL is working to drive the unit cost of a data-driven decision down to zero. We're building the agentic data lakehouse – finding trustworthy answers to hard questions from messy enterprise data without configuring schemas, moving data, or lengthy implementation roadmaps.

Roles:

* Platform: today, no one stakes their job on AI-generated queries. You'll build the system that changes that—giving agents the context to query enterprise data correctly, and the guardrails to prove it.

* Infrastructure: sandboxes are not enough for agents to work with enterprise data. You will develop reliable infrastructure for the first data platform designed to be operated agent-first – ETL pipelines, Trino clusters, and systems that let agents spin up infrastructure on their own.

Stack: Go, Haskell, TypeScript, DuckDB, Trino, PostgreSQL, Redis, Kubernetes, AWS

Perks: 21 days PTO, free lunch, 5% 401(k) matching, top-tier health insurance, visa sponsorship

How to Apply: email gabriel@textql.com with the most significant technical challenge you have solved, GitHub if you have one, and LinkedIn and/or resume (PDF).