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Entry Level Langchain Developer Jobs (NOW HIRING)

ManTech International

Agentic AI Developer

$63K - $105K/yr

... years of entry-level experience * Foundational knowledge of artificial intelligence, machine ... Familiarity with AI frameworks and libraries such as LangChain, LlamaIndex, or OpenAI APIs

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Entry Level Langchain Developer information

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$29.5K

$100.3K

$241.5K

How much do entry level langchain developer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for entry level langchain developer in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Langchain Developer, and why are they important?

To thrive as an Entry Level Langchain Developer, you need a solid understanding of Python programming, APIs, and basic concepts in machine learning or natural language processing, often supported by a relevant degree or coursework. Familiarity with the Langchain framework, experience with tools such as OpenAI APIs, and version control systems like Git are typically required. Problem-solving ability, eagerness to learn, and effective communication skills help you collaborate and adapt in evolving technical environments. These skills ensure you can efficiently build and maintain AI-powered applications while contributing positively to team projects.

What are some common challenges faced by entry level Langchain developers when integrating large language models into applications?

As an entry level Langchain developer, you may encounter challenges such as understanding the nuances of prompt engineering, managing token limits, and handling inconsistent model outputs. Collaborating with team members to design effective workflows and debugging issues related to API integration are also common hurdles. Regular communication with product managers and senior developers can help you navigate these challenges, and over time, you'll gain confidence in optimizing model performance and ensuring reliable user experiences.

What is an Entry Level Langchain Developer?

An Entry Level Langchain Developer is a software professional who works with LangChain, an open-source framework designed for building applications with large language models (LLMs). They typically assist in developing, testing, and deploying applications that leverage AI-driven conversation and automation. Entry level developers often work under the guidance of senior engineers, learning to integrate APIs, handle data pipelines, and implement prompt engineering. This role is ideal for those starting their careers in AI development, particularly in natural language processing and generative AI tools.

What is the difference between Entry Level Langchain Developer vs Entry Level Machine Learning Engineer?

AspectEntry Level Langchain DeveloperEntry Level Machine Learning Engineer
Required CredentialsBasic programming skills, familiarity with NLP and APIsProgramming skills, basic understanding of ML algorithms, possibly a degree in CS or related field
Work EnvironmentTech companies, startups, AI-focused teamsTech firms, research labs, AI and data science teams
Industry UsageAI development, chatbot and NLP applicationsData analysis, predictive modeling, AI system development
Search & Comparison IntentUnderstanding roles in NLP and AI developmentExploring entry-level AI and ML career paths

While both roles involve AI and programming, Entry Level Langchain Developers focus on building NLP applications using Langchain, whereas Entry Level Machine Learning Engineers work on broader ML models and algorithms. The roles share similar entry requirements but differ in their specific focus areas within AI development.

More about Entry Level Langchain Developer jobs
What cities are hiring for Entry Level Langchain Developer jobs? Cities with the most Entry Level Langchain Developer job openings:
What are the most commonly searched types of Langchain Developer jobs? The most popular types of Langchain Developer jobs are:
What states have the most Entry Level Langchain Developer jobs? States with the most job openings for Entry Level Langchain Developer jobs include:
What job categories do people searching Entry Level Langchain Developer jobs look for? The top searched job categories for Entry Level Langchain Developer jobs are:
Entry Level Langchain Developer jobs near you
Infographic showing various Entry Level Langchain Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.
Federal AI Solutions Engineer (Entry Level)

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Apply