Lead Engineer - App Engg & AI

Anblicks Inc.; Dallas, Northern (TX, KY); On-site; USD 150,000 - 230,000; Full time

Job summary

Anblicks Inc. is seeking a senior software engineer to translate business outcomes into agent specifications and build production-grade agentic workflows using LLMs and modern APIs.

You will lead a delivery pod, run agile ceremonies, and shape evaluation harnesses, with a stack including Python/Java, React, AWS or Azure, containers, and RAG/vector search.

Qualifications

• 7+ years in software engineering with 2+ years shipping LLM/agentic systems to production.
• Hands-on depth in Python or Java/Spring Boot, plus 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.

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 (OpenAI, Anthropic, Llama).

Skills

Python

Java/Spring Boot

React/Next.js

Cloud (AWS/Azure)

Containers/Serverless

IAM

RAG / Vector search

Design docs / technical leadership

Agile / sprint planning

Tools

OpenAI API

Anthropic API

Llama

AWS

Azure

Docker

Kubernetes

React/Next.js

Job description

• 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).