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Entry Level Langchain Jobs (NOW HIRING)

IBM

... entry-level positions. You'll receive a status update email for each application, so be sure to ... TensorFlow,LangChain,LangGraph,LlamaIndex, MCP-based tooling, or similar tools is a plus.

IBM

... entry-level positions. You'll receive a status update email for each application, so be sure to ... TensorFlow,LangChain,LangGraph,LlamaIndex, MCP-based tooling, or similar tools is a plus.

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Entry Level Langchain information

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How much do entry level langchain jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for entry level langchain in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.

What is an entry level Langchain job?

Entry-level Langchain jobs typically involve working with the Langchain framework, which is designed to help developers build applications powered by large language models (LLMs). These positions often require basic programming skills, familiarity with Python, and an understanding of how to connect LLMs with external data sources. Entry-level roles may include tasks such as implementing chatbots, integrating APIs, or creating simple workflows using Langchain. These jobs are ideal for those who are new to AI development but eager to learn and work with cutting-edge language technology.

What are the key skills and qualifications needed to thrive as an entry level Langchain developer?

To thrive as an Entry Level Langchain Developer, you need a solid understanding of Python programming, familiarity with APIs, and basic knowledge of natural language processing or machine learning concepts. Experience working with Langchain frameworks, version control systems like Git, and cloud platforms is often beneficial, while foundational certifications in Python or AI can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and troubleshoot efficiently. These skills ensure you can develop, test, and maintain AI-driven applications using Langchain, contributing to team goals and innovation.

What are some common challenges faced by entry level professionals working with Langchain, and how can they overcome them?

Entry-level professionals working with Langchain often encounter challenges such as understanding how to integrate various language models, managing dependencies between components, and debugging complex chains of tasks. To overcome these hurdles, it's helpful to start with small, modular projects to build familiarity with Langchain's workflow before scaling up. Collaborating with more experienced team members and actively participating in community forums can also accelerate learning and troubleshooting. Additionally, regularly consulting the official documentation and staying updated with new releases ensures you are using best practices.

What is the difference between Entry Level Langchain vs Entry Level Data Scientist?

AspectEntry Level LangchainEntry Level Data Scientist
Required CredentialsBasic programming skills, understanding of NLP and AI conceptsBachelor's degree in CS, statistics, or related field; some roles prefer certifications
Work EnvironmentTech companies, startups, AI-focused teamsTech firms, finance, healthcare, research institutions
Industry UsageDeveloping AI applications, chatbots, NLP toolsData analysis, predictive modeling, machine learning projects
Search & Comparison IntentUnderstanding entry-level roles in AI developmentExploring roles in data analysis and machine learning

Entry Level Langchain roles focus on developing AI applications using NLP frameworks, requiring programming and AI knowledge. Entry Level Data Scientist positions involve analyzing data, building models, and deriving insights, often requiring statistical and programming skills. Both roles are common in tech industries but serve different functions within AI and data analysis teams.

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What states have the most Entry Level Langchain jobs?

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Entry Level Langchain jobs near you
Infographic showing various Entry Level Langchain job openings in the United States as of September 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.

Generative AI Researcher

Warren, MI • On-site

Tata Consultancy Services
IT Services • 10K+ employees
Learn more about Tata Consultancy Servicesexternal

Full-time

Re-posted 24 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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