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Lead Engineer; Go Java Python

Job in San Antonio, Bexar County, Texas, 78288, USA
Listing for: Artech LLC
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 45 - 51 USD Hourly USD 45.00 51.00 HOUR
Job Description & How to Apply Below
Position: Lead Engineer(Go Java Python)
Request : 95040
-1

Title: Lead Engineer(Go Java Python)
Location:
San Antonio TX/Plano TX
Duration: 6+ Months
Salary Range: $45 - $51 an hour on W2 or C2C

Job Description:
Go, Python, Java, Terraform, C2, S3, Terraform/Cloud Formation, 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 Description s: "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| outcomesLLM 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/Cloud Formation| Lambda| DynamoDB Bedrock| Bedrock Agents| IAM policies| roles| KMS| secrets manager
Desirable

Skills:

Keyword:

Skills:

Digital :
Python~Digital:
Terraform
Experience

Required:

6-8

Appreciate your quick response and please feel free to reach me out for any query you may have.

Thanks
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