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Slm Solutions Jobs in Texas (NOW HIRING)

Jobtailor

Forward Deployed Engineer IV

San Antonio, TX · On-site

$140 - $190/hr

Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI) * Ship with full-stack and DevOps ...

Compunnel

Forward Deployed Engineer

San Antonio, TX · On-site

... SLM solutions and implement RAG architectures using frameworks such as LlamaIndex and Haystack. • Orchestrate multi-agent workflows using frameworks such as LangChain, LangGraph, and CrewAI. • ...

Webhosting

Sr Forward Deployed Engineer

San Antonio, TX · On-site

$165.83 - $243.14/hr

Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI). * Ship with full-stack and DevOps ...

ClifyX

PHP Full stack developer

Dallas, TX · On-site

Knowledge of and use of PySpark, SLM and LLM. • Analytical/Abstract mindset, approaches problems for multiple vectors, providing comprehensive and out of the box solutions. • Significant ...

Cotality

Principal Software Engineer (Python)

Dallas, TX · On-site +1

$133K - $179K/yr

This senior-level position is responsible for creating scalable, high-quality software solutions ... Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing ...

Stackinfra

Platform Engineer - AI Infrastructure

Plano, TX · On-site

$102K - $134K/yr

Provision and manage LLM/SLM serving infrastructure: Azure OpenAI deployments, model endpoints ... agentic solutions, with auto-scaling and health monitoring. * Create reusable deployment ...

Cotality

Principal Software Engineer (Python)

Austin, TX · On-site +1

$133K - $179K/yr

This senior-level position is responsible for creating scalable, high-quality software solutions ... Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

Independently work on data science projects and deliver innovative technical solutions to solve ... SLM, LLM, VLM, Embedding Models) Desired Skills Expertise in API development and container ...

Ryder

Group Logistics Manager II

Fort Worth, TX

... Managers (SLM), and/or Group Logistics Managers (GLM). This position has profit and loss ... Demonstrated knowledge and understanding of warehouse operations/solutions, distribution ...

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Slm Solutions information

What is SLM Solutions?

SLM Solutions is a company specializing in metal additive manufacturing, also known as 3D metal printing. They design and manufacture Selective Laser Melting (SLM) machines, which use laser technology to produce complex metal parts layer by layer from powdered metals. Their equipment is widely used in industries like aerospace, automotive, healthcare, and energy for rapid prototyping and high-performance production. SLM Solutions is known for innovation in the field, offering advanced solutions for efficient and precise metal part fabrication.

What are the typical responsibilities of an engineer at SLM Solutions?

Engineers at SLM Solutions are typically involved in designing, optimizing, and testing selective laser melting (SLM) systems and metal additive manufacturing processes. Their daily tasks often include collaborating with cross-functional teams such as R&D, production, and quality assurance to develop innovative 3D printing solutions, troubleshoot technical issues, and ensure the reliability of SLM machines. They also work closely with clients to understand application requirements, conduct feasibility studies, and implement custom solutions. This role offers exposure to cutting-edge technology and opportunities for professional growth in the rapidly evolving field of metal additive manufacturing.

What are the key skills and qualifications needed to thrive as an SLM Solutions engineer?

To thrive as an SLM Solutions Engineer, you need a solid background in mechanical engineering, materials science, or a related technical field, often supported by a relevant degree or experience in additive manufacturing. Familiarity with SLM (Selective Laser Melting) machines, 3D CAD software, and metal powder processing, as well as certifications in additive manufacturing, are highly valuable. Strong problem-solving, project management, and communication skills help you collaborate effectively with clients and cross-functional teams. These competencies are essential to ensure optimal machine performance, high-quality production outcomes, and successful integration of SLM technologies in industrial settings.

What is the difference between Slm Solutions vs 3D Printing Technician?

AspectSlm Solutions3D Printing Technician
CredentialsTypically requires engineering or technical certifications, CAD skillsRequires technical training or certification in 3D printing
Work EnvironmentIndustrial settings, manufacturing facilities, labsManufacturing plants, workshops, labs
Industry UsageUsed in aerospace, automotive, medical device manufacturingUsed across various industries for prototyping and small-batch production

Slm Solutions specializes in industrial metal 3D printing systems, focusing on additive manufacturing technology. 3D Printing Technicians operate and maintain 3D printers, including those from Slm Solutions, and handle the production process. While Slm Solutions is a manufacturer of equipment, 3D Printing Technicians are end-users or operators. Understanding both roles helps clarify the distinction between equipment provider and service provider in the additive manufacturing industry.

What are popular job titles related to Slm Solutions jobs in Texas?

For Slm Solutions jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Slm Solutions jobs in Texas look for?

The top searched job categories for Slm Solutions jobs in Texas are:

Slm Solutions jobs near you
Infographic showing various Slm Solutions job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Forward Deployed Engineer

San Antonio, TX • On-site

Jobtailor
See more jobs at Jobtailorexternal

$180 - $280/hr

Other

Posted 6 days ago

Job description

  • Diagnose critical business challenges, map data landscapes, and co-design AI solutions on-site
  • Lead end-to-end solution design and delivery of agentic AI workflows, RAG pipelines, knowledge graphs, and real-time decision-making applications
  • Drive rapid prototyping and POCs that demonstrate tangible business value within days to weeks
  • Serve as the primary technical owner across the full project lifecycle: scoping, architecture, build, deployment, and post-launch optimization
  • Architect production-grade Enterprise AI applications on Partner Foundry Solutions or Rackspace Private Cloud and GPU infrastructure, integrating with enterprise systems (ERP, CRM, data warehouses, data lakes)
  • Build scalable data pipelines across structured and unstructured data using ETL/ELT, vector databases (Pinecone, Weaviate, AstraDB), and knowledge base frameworks
  • Develop and fine-tune LLM/SLM solutions; implement RAG architectures (LlamaIndex, Haystack) and orchestrate multi-agent workflows (LangChain, LangGraph, CrewAI)
  • Ship with full-stack and DevOps depth: Python, Node.js/Go, React/Vue, Docker, Kubernetes, CI/CD, and GPU cluster management
  • Champion observability, monitoring, and telemetry to ensure trustworthy, auditable, and versioned AI agents in production
  • Identify expansion opportunities by working with sales and customer success to uncover high-value use cases across new business domains
  • Feed structured field insights back to Platform Engineering and Product on feature gaps, emerging needs, and usability improvements
  • Build reusable IP through reference architectures, accelerators, frameworks, and technical best practices that scale future engagements
  • Mentor engineers and customer teams, driving knowledge transfer and building internal AI competencies.
Requirements
  • Bachelor’s degree in computer science, engineering, or related technical discipline required
  • Must be Palantir certified
  • 10+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles
  • Proven track record in building and deploying AI/ML applications in production at enterprise scale
  • Deep full-stack proficiency: Python (required), Node.js/Go, React/Vue, SQL/NoSQL databases
  • Hands-on with LLMs, prompt engineering, vector databases, data pipelines, application dashboards, RAG pipelines, and agent orchestration frameworks
  • Strong DevOps skills: Docker, Kubernetes, CI/CD, GPU infrastructure, cloud-native deployment patterns
  • Experience integrating across heterogeneous enterprise systems - ERP, data warehouses, data lakes, streaming architectures
  • Ability to translate ambiguous customer needs into actionable engineering plans under tight timelines
  • Excellent communication skills - comfortable with C-suite presentations, technical workshops, and cross-functional collaboration
  • Experience with Palantir Foundry, AIP, ontology modeling, Uniphore BAIC, or similar Enterprise AI development platforms
  • Knowledge of SLM fine-tuning, model distillation, RLHF, and AI evaluation frameworks
  • Experience building agentic AI solutions: multi-agent systems, tool use, and autonomous workflow orchestration
  • Familiarity with GPU infrastructure (NVIDIA H100/B200, InfiniBand) and private cloud platforms (OpenStack, VMware)
  • Prior experience in technology consulting, AI startups, or Forward Deployed / Solutions Engineering roles
  • Domain expertise in financial services, healthcare, supply chain, defense, energy, or manufacturing
  • Experience with knowledge graphs, semantic modeling, and ontology-driven data management.
Core Competencies

Demonstrates expertise in architecting and delivering enterprise-scale AI applications, leveraging deep full-stack proficiency in Python, Node.js/Go, and React/Vue. Proven ability to integrate complex data landscapes and drive customer-facing AI/ML solutions with strong DevOps practices and effective communication skills.

Highest-signal resume keywords
  • Palantir Certification
  • 10+ Years in Software Engineering or AI/ML Delivery
  • Deep Full-Stack Proficiency: Python, Node.js/Go, React/Vue
  • Strong DevOps Skills: Docker, Kubernetes, CI/CD
  • Experience with LLMs and Agent Orchestration Frameworks
ATS Optimization Keywords Hard Skills
  • Python
  • Node.js
  • Go
  • React
  • Vue
  • SQL
  • NoSQL
  • LLMs
  • Data Pipelines
  • RAG Pipelines
Soft Skills
  • Excellent Communication Skills
  • Cross-Functional Collaboration
  • Customer-Facing Experience
Certifications & Qualifications
  • Palantir Certified
Industry Keywords
  • Financial Services
  • Healthcare
  • Supply Chain
  • Defense
  • Energy
  • Manufacturing
Tools & Technologies
  • Palantir Foundry
  • Docker
  • Kubernetes
  • GPU Infrastructure
  • OpenStack
  • VMware
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