Aimpoint Digital · Atlanta, GAremote

Salary
Posted
Jun 29, 2026
Location
Atlanta, GA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A client-facing engineering role focused on building and shipping production AI systems — including agentic workflows, retrieval applications, multi-agent architectures, and AI-integrated backend services — for enterprise organizations. The work spans the full lifecycle from solution design and API development through containerized deployment, evaluation, and governance. Suited to engineers with a solid software engineering foundation who have hands-on experience taking AI or ML solutions into production.

Mid level · 3+ years · Remote · Full-time

Advertised as Senior, but the requirements read as Mid.

Must have (7)
Python, Java, C#, Go or TypeScriptLLMsMLOpsCI/CDKubernetesAWS, Azure, GCP, Databricks or SnowflakeGitHub Copilot, Cursor, Claude Code or Openai Codex
Nice to have (4)
FastAPI, Flask, Spring Boot, .NET or Expressvector databasesknowledge graph retrievalETL

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 26,000 people nationally plausibly meet what this posting asks for (software developers). range 15,600–38,900

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
Python51%CI/CD45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $135,980 (middle half $105,210–$171,980).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (8)

The role requires 3+ years of general software engineering experience and 1+ years of AI/ML production experience; 3 years is used as the overall years minimum since it is the broader gate.

The degree requirement lists 'Bachelor's degree … or equivalent practical experience', so no hard degree gate is set.

The SOC classification is a judgment call: the role is primarily production software engineering with AI/ML integration (15-1252), but the AI/ML deployment and evaluation emphasis makes 15-2051 a credible runner-up.

Seniority is assessed as Mid despite the 'Senior' title: the hard experience gate is only 3+ years total (1+ years AI), which aligns with mid-level. The title advertises Senior.

'Google Antigravity' appears in the JD as a coding harness alongside Claude Code, OpenAI Codex, Cursor, and GitHub Copilot. This appears to be either a placeholder or an internal/unreleased product name; it is not a recognized public tool and has been omitted from the skills list.

Containers (Docker or similar) are required alongside Kubernetes but no specific container runtime is named beyond the generic term; captured via the Kubernetes skill.

Multi-agent systems, agentic workflows, and semantic search appear under Preferred Qualifications and are marked accordingly.

Caller marked this a fully-remote role — scored against the national candidate pool.

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