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Llm Engineer Remote Jobs in Alabama (NOW HIRING)

Generative AI and LLM development. * Prompt Engineering . * RAG (Retrieval-Augmented Generation ... Location Hyderabad / Remote / Hybrid - As per company requirements.

Automation Test Engineer

Birmingham, AL · On-site +1

$43 - $57/hr

Our agents are LLM-driven, so correctness is a range of acceptable behaviors rather than a single ... remote). Requirements - 10+ years in software quality engineering, with a strong focus on test ...

... / 2 remote). Requirements * 10+ years building production backend or distributed systems ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

... / 2 remote). Requirements * 10+ years building production backend or distributed systems ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

AI Engineer

Huntsville, AL · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0246920 Location: Huntsville,AL,US Share job via: Share AI ... In this role, you will help evolve AI solutions from traditional LLM-based interactions to ...

We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ... LLM-enabled features. * Demonstrated experience interpreting SAST, DAST, and SCA results and ...

We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ... LLM-enabled features. * Demonstrated experience interpreting SAST, DAST, and SCA results and ...

You'll collaborate with cross-functional teams, including developers, UX/UI designers, digital ... LLM crawlers. Make light code-level changes (HTML, CSS, basic JS templating) and clearly scope ...

Llm Engineer Remote information

What is an LLM engineer?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.

What are the key skills and qualifications needed to thrive as an LLM engineer in a remote role?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What are some typical challenges faced by remote LLM engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are the most commonly searched types of Llm Engineer jobs in Alabama?

The most popular types of Llm Engineer jobs in Alabama are:

What are popular job titles related to Llm Engineer Remote jobs in Alabama?

For Llm Engineer Remote jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Llm Engineer Remote jobs in Alabama look for?

The top searched job categories for Llm Engineer Remote jobs in Alabama are:

What cities in Alabama are hiring for Llm Engineer Remote jobs?

Cities in Alabama with the most Llm Engineer Remote job openings:

Infographic showing various Llm Engineer Remote job openings in Alabama as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Gen AI Engineer

On-site, Remote

Vultus Inc
Software Development • 11 - 50 employees

Full-time

Posted 7 days ago


Job description

Gen AI Engineer

Experience

3–6 Years

Job Type

Full-Time

Job Summary

We are looking for a skilled Gen AI Engineer to design, develop, and deploy Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI/ML technologies. The ideal candidate should have strong Python programming skills and hands-on experience building production-ready AI applications.

Key Responsibilities
  • Design and develop Generative AI applications using LLMs.
  • Build and optimize RAG pipelines using embeddings and vector databases.
  • Work with models such as GPT, LLaMA, Claude, Gemini, or similar LLMs.
  • Develop prompt engineering strategies and evaluate model responses.
  • Build AI agents and intelligent automation workflows.
  • Integrate LLMs with APIs, enterprise applications, and databases.
  • Implement document processing, text extraction, summarization, classification, and question-answering solutions.
  • Fine-tune or customize AI models when required.
  • Develop evaluation frameworks to measure accuracy, relevance, latency, and reliability.
  • Optimize AI applications for performance, scalability, and cost.
  • Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product teams.
  • Follow best practices for AI security, responsible AI, data privacy, and model governance.
Primary Skills
  • Strong Python programming.
  • Generative AI and LLM development.
  • Prompt Engineering.
  • RAG (Retrieval-Augmented Generation).
  • Vector databases such as Pinecone, FAISS, Weaviate, or Chroma.
  • LLM frameworks such as LangChain or LlamaIndex.
  • Experience with OpenAI, Azure OpenAI, Gemini, Claude, or open-source LLMs.
  • Machine Learning and NLP fundamentals.
  • REST APIs and microservices.
  • Git and software development practices.
Secondary Skills
  • Cloud platforms: AWS / Azure / GCP.
  • Docker and Kubernetes.
  • ML frameworks such as PyTorch or TensorFlow.
  • MLOps and model deployment.
  • SQL and NoSQL databases.
  • AI agents and tool/function calling.
  • Knowledge of LLM evaluation and observability tools.
Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Preferred Qualifications
  • Experience deploying Gen AI solutions in production.
  • Experience working with enterprise-scale AI applications.
  • Knowledge of AI safety, hallucination mitigation, and responsible AI practices.
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
Salary

Competitive salary based on experience and skills.

Location

Hyderabad / Remote / Hybrid – As per company requirements.