Software DeveloperAI EngineerSoftware Engineer

Job Title: Software Developer/AI Engineer/Software Engineer

Location: Plano TX-Hybrid mode onsite

Duration: 3 Months

Job Description:

The profiles we received so far doesn t have AI design or implementation knowledge they are more of automation engineers using code language. Unfortunately none of them matched our requirement by 50% to schedule discussion and see their actual work beyond their CV s.

We need strong candidates who have developed LLM s Designed workflows and AI tools deployment knowledge.

Join a horizontal engineering team supporting 600 application teams on a mission to raise engineering maturity by driving standards guidelines platform capabilities and large-scale technical debt remediation. You will build advanced agentic AI workflows to automatically analyze codebases detect tech debt and generate high-quality fixes from vulnerability patches to dependency and language upgrades. This is a hands-on high-impact role shaping the future of automated software modernization.

Key Responsibilities:

• Design develop and maintain LLM-powered multi-agent workflows for code analysis remediation proposals and safe patch generation.
• Implement agentic patterns including planning/execution loops dynamic tool orchestration sandboxing guardrails and failure recovery.
• Build scalable automation systems for technical debt remediation: language/runtime upgrades vulnerability patching dependency modernization and config drift correction.
• Partner with Dev Experience and Platform teams to define engineering guidelines and reusable standards across the organization.
• Architect and optimize Retrieval-Augmented Generation (RAG) pipelines managing chunking embeddings hybrid search reranking and retrieval policies.
• Develop robust evaluation frameworks for LLMs RAG and agent workflows including offline datasets validation metrics statistical testing and A/B tests.
• Contribute to backend systems using Python distributed systems microservices PostgreSQL DBT vector databases caching streaming and queueing.
• Build CI/CD pipelines observability dashboards and perform performance analysis on model retrieval and network layers.
• Collaborate cross-functionally with product platform and security to move prototypes to production-grade services.
• Communicate clearly with stakeholders write technical documentation and mentor junior engineers.

Platform runs on AWS and AWS knowledge is must.

• 5 years experience building production-grade systems with end-to-end ownership.
• Expertise in Python programming software engineering best practices testing strategies CI/CD and system design.
• Hands-on experience shipping LLM-powered features such as autonomous workflows or function calling with measurable impact on reliability or latency.
• Deep knowledge of multi-agent architecture including planners executors and tool routing.
• Strong understanding of RAG systems: chunking embeddings vector/hybrid search and retrieval policies.
• Experience evaluating LLMs and agent workflows incorporating statistical reasoning and validation.
• Proficiency with AWS (Lambda ECS/EKS S3 API Gateway EC2 IAM) and Infrastructure-as-Code for cloud resource automation and deployment.
• Experience with observability tools (Datadog logging tracing metrics).
• Familiarity with PostgreSQL DBT data modeling schema evolution and performance tuning.
• Knowledge of vector databases like Pinecone or pgvector.
• Experience building or optimizing CI/CD pipelines (GitHub Actions or similar).
• Proven track record in application modernization dependency management and technical debt reduction.
• Ability to rapidly prototype validate and transition solutions to production systems.

Preferred Skills:

• Experience designing agent infrastructure with sandboxing tool isolation and fail-safe execution.
• Background in large-scale platform engineering or developer experience tooling.
• Understanding of security compliance and privacy for enterprise AI systems.
• Strong architectural communication ability including RFC writing and diagramming.

Attributes:

• Adaptable and proactive problem solver.
• Strong ownership mindset with excellent collaboration and communication skills.
• Comfortable in ambiguous fast-paced R&D environments.
• Passionate about building high-leverage platform capabilities impacting hundreds of engineering teams.

Keywords: LLM AI RAG CI/CD AWS Lambda API