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Themesoft Inc

Onsite_Lead Engineer_San Antonio, TX; Plano, TX

Pay: Not specified
Posted: 4 weeks ago
Location: San Antonio, TX (Onsite)
Last Updated: 2 days ago
Hours: Full-Time
Expires: 10/25/2026
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Job Description

Location:
San Antonio, TX; Plano, TX•onsite
Duration:
6 months 6-8 years Go, Python, Java, Terraform, C2, S3, Terraform/CloudFormation, Lambda, DynamoDB /"Troubleshooting Skills•5 years: Systematic debugging Log analysis Performance profiling Incident response Prompt Engineering•2 years:
Prompt Design:
effective prompts for different personas, tasks, schema & models
Few-shot & Zero-shot Learning:
guide model behaviors Tool use integration: prompt to interact with APIs, Databases and external tools Building AI Agents•2 years:
Agent Frameworks:
langchain, autogen, crewai, MCP, etc.
Memory & Context Management:
long-term memory,
RAG Tool Use & Planning:
Integrating external tools (API/DB), multi-step reasoning, task decomposition State management: goal tracking, actions, outcomes
LLM Integration:
using common open and closed models (OpenAI, Gemini, Anthropic, Llama, etc.) Evaluation & safety: testing agent behavior, fail-safes, ethical constraints
Security:
input sanitization, sensitive data handling, prompt injection projection, scoped permissions, logging, rate limiting/" Bedrock, Bedrock Agents, IAM policies, roles, KMS, secrets manager
Role Descriptions:
/"Troubleshooting Skills 5 years: Systematic debugging Log analysis Performance profiling Incident response Prompt Engineering 2 years:
Prompt Design:
effective prompts for different personas| tasks| schema & models
Few-shot & Zero-shot Learning:
guide model behaviors Tool use integration: prompt to interact with APIs| Databases and external tools Building AI Agents 2 years:
Agent Frameworks:
langchain| autogen| crewai| MCP| etc.
Memory & Context Management:
long-term memory|
RAGTool Use & Planning:
Integrating external tools (API/DB)| multi-step reasoning| task decomposition State management: goal tracking| actions| outcomes
LLM Integration:
using common open and closed models (OpenAI| Gemini| Anthropic| Llama| etc.)Evaluation & safety: testing agent behavior| fail-safes| ethical constraints
Security:
input sanitization| sensitive data handling| prompt injection projection| scoped permissions| logging| rate limiting/"
Essential Skills:
Go| Python| Java| Terraform| C2| S3| Terraform/CloudFormation| Lambda| DynamoDB Bedrock| Bedrock Agents| IAM policies| roles| KMS| secrets manager Email me for prompt response.