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Remote Langchain Developer Jobs in Baker, LA (NOW HIRING)

Databricks

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

... the Field Engineering team for depth in the specific domain. This position can be remote. The ... LangChain, Hugging Face, or OpenAI APIs * Strong coding proficiency in Python and SQL - you must ...

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Remote Langchain Developer information

See Baker, LA salary details

$16

$51

$80

How much do remote langchain developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote langchain developer in Baker, LA is $51.91, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $63.51 per hour, depending on experience, location, and employer.

What is a remote Langchain developer?

Remote Langchain Developers are software professionals who specialize in building applications using the Langchain framework, which is designed to facilitate the development of language model-powered applications. They work from remote locations, collaborating with teams online to integrate large language models (LLMs) like OpenAI's GPT into various products and workflows. Their responsibilities typically include designing, coding, testing, and deploying solutions that leverage Langchain's capabilities for tasks such as data processing, chatbots, document analysis, and more. Remote Langchain Developers must be proficient in Python and have a strong understanding of AI, machine learning, and natural language processing concepts.

What are the key skills and qualifications needed to thrive as a remote Langchain developer?

To thrive as a Remote Langchain Developer, you need strong Python programming skills, experience with natural language processing (NLP), and a solid understanding of the LangChain framework and large language models. Familiarity with cloud platforms, REST APIs, and version control systems like Git is typically required, along with any relevant certifications in AI or cloud computing. Excellent problem-solving, self-motivation, and effective remote communication skills help set you apart in distributed teams. These skills ensure the efficient development of robust, scalable AI solutions while enabling seamless collaboration and innovation in a remote work environment.

How do remote Langchain developers typically collaborate with team members and stakeholders across different time zones?

Remote Langchain Developers often work as part of distributed teams, which requires strong communication and collaboration skills. They frequently use tools like Slack, Zoom, or project management platforms to coordinate with colleagues and share progress. Developers may need to adjust their schedules for occasional meetings or code reviews to accommodate team members in other time zones. Clear documentation and proactive updates are essential to ensure everyone stays aligned on project goals and timelines.
Remote Langchain Developer jobs near you
Infographic showing various Remote Langchain Developer job openings in Baker, LA as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $107,982 per year, or $51.9 per hour.

Specialist Solutions Architect - AI/ML

Databricks

Central, LA • On-site, Remote

$58.25 - $76.75/hr

Full-time

Posted 17 days ago

Key responsibilities

  • Lead the end-to-end AI/ML technical strategy for customer accounts, from discovery to production deployment.

  • Lead complex architecture discussions to design scalable, production-grade AI/ML solutions including RAG, tool calling, multi-agent orchestration, and observability systems.

  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.

Job description

FEQ427R382

As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers - owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.
This position can be remote. 

The Impact You Will Have

  • Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
  • Lead complex architecture discussions - designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems
  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
  • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions
  • Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
  • Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
  • Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

  • 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:
    • ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
    • AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
  • Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills
  • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
  • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
  • Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
  • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
  • Willingness to travel up to 30% as needed

Nice to Have

  • Databricks certifications (Data Engineer, ML, Platform)
  • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against
  • Background in a data/AI company or cloud provider
  • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Apply