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Langgraph Jobs in Springfield, MA (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Hartford, CT · On-site

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

CGI Inc.

Agentic AI Developer

Hartford, CT · On-site

Python, LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment. Expectations: . Ability to quickly assess emerging GenAI ...

UnitedHealth Group

Software Engineer

Hartford, CT · On-site

$72K - $130K/yr

... LangGraph, or similar) * 2+ years of experience integrating AI solutions with APIs, databases, and enterprise systems * 2+ years of experience with evaluation and debugging of AI systems, including ...

Pwc

AI Engineer

Hartford, CT

$50K - $112K/yr

... as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques, including prompt engineering, LLM ...

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UnitedHealth Group

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

... LangGraph, or similar) * 2 years of experience integrating AI solutions with APIs, databases, and enterprise systems * 2 years of experience with evaluation and debugging of AI systems, including ...

The Hartford

Staff Software Engineer - AI

Hartford, CT

$127K - $191K/yr

Design and developmulti-agent frameworksusing tools such as LangGraph, Crew AI, or Semantic Kernel to orchestrate intelligent workflows. * Design and develop machine learning techniques that allow ...

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All JobsLanggraph JobsLanggraph Jobs in Springfield, MA

Langgraph information

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.
What are popular job titles related to Langgraph jobs in Springfield, MA? For Langgraph jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Springfield, MA look for? The top searched job categories for Langgraph jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Langgraph jobs? Cities near Springfield, MA with the most Langgraph job openings:
Langgraph jobs near you
IT - Technology Lead | Enterprise Content Management | IBM Watson

IT - Technology Lead | Enterprise Content Management | IBM Watson

Spruce Infotech

Hartford, CT • On-site

$168K/yr

Full-time

Posted 26 days ago

Job description

Job Title Technology Lead | Enterprise Content Management | IBM Watson
Work Location & Reporting Address Hartford, CT 6156
Vendor Rate XXX/Hr.
Contract duration 6
Target Start Date 22 Apr 2026
Must Have Skills
Core AI & GenAI Expertise
• Deep experience with Generative AI, LLMs, multi-modal models, RAG systems, and agent-based architectures.
• Strong knowledge of ML algorithms, NLP/NLU techniques, transformers, embeddings, and evaluation frameworks.
Model Tuning & Optimization
• Hands-on expertise with PEFT, LoRA, QLoRA, parameter-efficient fine-tuning, and prompt-tuning strategies.
Frameworks, Tools & Libraries
• Proficiency in:
o LangChain, LangGraph, Pydantic
o FAISS / Chroma / Milvus or other vector DBs
o PyTorch / TensorFlow
o HuggingFace ecosystem
o OpenAI / Azure OpenAI / Claude / Gemini APIs
Full-Stack AI Engineering
• Strong Python engineering skills for building orchestration, pipelines, and backend services.
• Experience deploying AI workloads on Azure/AWS/GCP (or equivalents).
• Understanding of MLOps / AIOps, CI/CD pipelines, containerization, and microservices.
Consultative & Evangelization Skills - Exceptional communication and storytelling abilities.
• Nice to have skills
8-15+ years of experience in AI/ML, with at least 3-5 years in GenAI/LLM-based solutions.
• Master's degree or specialization in Computer Science, AI, ML, Data Science, or related fields.
• Certifications in cloud AI services (Azure AI, AWS ML, GCP Vertex AI) are highly desirable.
Key Responsibilities
1. Strategic AI Leadership & Evangelization - Partner with business and technology leaders to shape the AI roadmap, influence strategy, and embed AI in transformation initiatives.
2. AI Solution Architecture & Full-Stack AI Engineering - Lead design and development of end-to-end AI/GenAI solutions, including data ingestion, model orchestration, inference services, and integration with enterprise systems. Architect multi-model pipelines using platforms and frameworks such as LangChain, LangGraph, Pydantic, vector databases, LLM frameworks, and cloud-native services.
3. Model Development, Tuning & Optimization - Apply advanced model-tuning techniques such as PEFT, LoRA, QLoRA, SFT, and Retrieval-Augmented Generation (RAG).
4. GenAI & ML Engineering Excellence - Build prototype agents, copilots, AI automation flows, and domain-context solutions using modern AI frameworks.
5. Client Engagement & Value Realization - Lead client discussions, articulate solution approaches, drive use case discovery, feasibility assessment, and ROI analysis to prioritize AI initiatives.
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Solution design
Technical delivery
Team handling
Interview Process (Is face to face required?) No

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