Lead Engineer - App Engg & AI

Anblicks; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Anblicks is seeking a Lead Engineer to shape and deliver agentic software using LLMs and APIs. You will translate business goals into concrete specifications, architect production workflows, and lead a small team through sprints in a fast, delivery-driven environment.

You will own evaluation criteria, craft design docs, and collaborate across engineering and product to ship robust AI-powered applications in a regulated, client-facing context in the Dallas area.

Qualifications

• 7+ years in software engineering with 2+ years shipping LLM or agentic systems to production.
• Hands-on depth in Python or Java/Spring Boot, plus comfort with React/Next.js where needed.
• Working knowledge of a major cloud (AWS or Azure) including managed AI services, containers, serverless, and IAM.
• Experience with RAG, vector search, and evaluation methodology, including when retrieval is the wrong answer.
• Demonstrated technical leadership of a small team on a delivery-pressured project.
• Strong written and verbal communication; ability to write a client-facing design doc.

Responsibilities

• Translate business outcomes into agent specifications, tool definitions, evaluation criteria, and acceptance gates.
• Implement production agentic workflows: retrieval, tool orchestration, structured output, human approval loops, failure handling and fallback.
• Own evaluation for your engagement: define what 'good' means, build the harness.
• Run agile ceremonies for the pod; produce estimates and sprint plans.
• App Development: Build functional applications using LLMs and APIs (OpenAI, Anthropic, open-source Llama).

Skills

Python

Java/Spring Boot

React/Next.js

LLMs & agentic systems

Cloud (AWS/Azure)

RAG & vector search

Technical leadership

Effective communication

Tools

OpenAI API

Anthropic API

Llama

Job description

Job Title: Lead Engineer - App Engg & AI

Responsibilities:

• Translate business outcomes into agent specifications, tool definitions, evaluation criteria, and acceptance gates.
• Implement production agentic workflows: retrieval, tool orchestration, structured output, human approval loops, failure handling and fallback.
• Own evaluation for your engagement: define what "good" means, build the harness
• Run agile ceremonies for the pod; produce estimates and sprint plans
• App Development: Build functional applications using large language models (LLMs) and APIs (e.g., OpenAI, Anthropic, open-source Llama).

Required Qualifications:

• 7+ years in software engineering with 2+ years shipping LLM or agentic systems to production.
• Hands-on depth in Python or Java/Spring Boot, plus comfort in a modern front-end stack (React/Next.js) when the engagement needs it.
• Working knowledge of a major cloud (AWS or Azure) including managed AI services, containers, serverless, and IAM.
• Experience with RAG, vector search, and evaluation methodology — including a clear-eyed view of where retrieval is the wrong answer.
• Demonstrated technical leadership of a small team on a delivery-pressured project.
• Strong written and verbal communication; you can write a design doc a client will actually read.

Preferred:

• Consulting delivery experience in a regulated vertical (financial services, healthcare, retail data, nonprofit/crisis services).
• MCP, A2A, or comparable agent interoperability protocol work.
• Snowflake, Collibra, SODA, or data quality tooling exposure.
• Experience with contact center or omnichannel platforms (Amazon Connect, Teams, voice).