Lead Engineer - App Engg & AI

Anblicks

• $130K — $155K *
Dallas, TX 75217In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years in software engineering with 2+ years in production LLM or agentic systems.
  • Strong expertise in Python, Java/Spring Boot, and modern front-end frameworks like React/Next.js.
  • Familiarity with cloud platforms (AWS or Azure) and their AI services, including containers and serverless.
  • Knowledge of RAG, vector search, and an understanding of evaluation methods in AI.
  • Proven experience in technical leadership on high-pressure projects.
  • Exceptional written and verbal communication skills, especially in documentation.

Responsibilities

  • Translate business needs into specifications for agents and tools.
  • Implement workflows for agent functionality including error handling and human approval.
  • Define and evaluate key performance metrics for project success.
  • Facilitate agile ceremonies and manage sprint planning for the team.
  • Develop applications utilizing large language models and APIs.

Benefits

  • Opportunity for hands-on work with cutting-edge AI technologies.
  • Collaborative work environment fostering agile methodologies.
  • Potential for leadership role in innovative projects.
  • Involvement in cross-functional teams and diverse engagements.
Full Job Description
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).
* Ladders Estimates

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