Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details
Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite
Themesoft Inc

Onsite_Lead Engineer_San Antonio, TX; Plano, TX

Pay: $60/hr
Posted: 1 week ago
Location: San Antonio, TX (Onsite)
Last Updated: 4 days ago
Hours: Full-Time
Expires: 10/1/2026

Career Insights for Hunter / Trapper

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Texas data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Hunter or Trapper catches and kills mammals, birds or reptiles mainly for meat, skin, feathers and other products for sale or delivery on a regular basis to wholesale buyers, marketing organizations or at markets.

$38,243 / year median in Texas

+7% projected growth

Explore Career

Job Description

Onsite_Lead Engineer_San Antonio, TX; Plano, TX Themesoft Inc•4.5 San Antonio, TX Job Details $60 an hour 1 day ago Qualifications Cloud identity and access management (IAM) Go Data permissions AWS Secrets Manager Infrastructure as Code (IaC) Cloud management tools Java Terraform S3 Serverless cloud services Key management Python Identity & access management
AWS CloudFormation AWS Lambda Full 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.