Lang Graph

Lang Graph Engineer Jobs

3 jobs found

3d ago

Forward Deployment AI Engineer

GadellNet St. Louis, MO

St. Louis, MO

3d ago

$120k - $150k/yr Full time AI Ai Workflows Artificial Intelligence

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Job Description

GadellNet places the Forward Deployment AI Engineer on site with client organizations in St. Louis, MO to design, build, and deploy production grade AI solutions that deliver measurable operational impact.

Responsibilities

Work directly with clients to uncover operational pain points, map workflows, and identify high ROI AI and automation opportunities.
Architect and implement AI agents using frameworks like LangChain, LangGraph, AutoGen, or equivalent, covering tool usage, memory handling, and multi-agent orchestration.
Create AI powered workflows that integrate with clients' existing systems such as CRMs, ERPs, cloud platforms, and communication tools.
Build automation solutions across document processing, data extraction, reporting, customer communications, and internal operations.
Manage the full delivery lifecycle from scoping and architecture through development, testing, deployment, and lightweight documentation.
Coach and enable client teams to maintain and iterate on solutions after deployment.
Act as a trusted technical advisor, translating AI capabilities into clear business value for non-technical stakeholders.
Contribute reusable components, playbooks, and delivery templates to scale the practice internally.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
Must be legally authorized to work in the United States without employer sponsorship now or in the future
Minimum of 2 years of professional experience in software engineering, AI/ML engineering, or a technical consulting role
Proficiency in Python with familiarity in REST APIs and cloud services
Hands-on experience building with large language model APIs (OpenAI, Anthropic, Gemini, or similar)
Understanding of prompt engineering, retrieval augmented generation, and agentic workflow patterns
Ability to work independently in ambiguous, fast-moving client environments
Strong communication skills, able to explain complex concepts like vector databases to non-technical stakeholders

Technologies

Python
LangChain
LangGraph
AutoGen
OpenAI
Anthropic
Gemini
REST APIs
Cloud services
Zapier
Make
n8n
Pinecone
Weaviate
Chroma

Benefits

Health, vision, and dental insurance
Paid time off including parental leave and volunteer time
Flexible work environment
Access to mental health services
Employee matching donation program
401k and employer matching

Position Summary

As a Forward Deployment AI Engineer, you will embed with client teams to design, build, and deploy AI driven solutions that deliver real operational impact. You will work on-site with small and mid-size businesses to diagnose inefficiencies, earn stakeholder trust, and ship production grade AI agents and automated workflows that transform daily operations.

Values

Make an Impact
100% Responsibility 0% Excuses
Grow or Die

Eligibility to Work in the US

GadellNet does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

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5d ago

Senior AI Engineer

Flex Employee Services Irvine, CA

Irvine, CA

5d ago

$47 - $51/hr Full time Agentic Ai AI Ai Ml

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Job Description

The Senior AI Engineer role at Flex Employee Services focuses on designing, building, and scaling a production-grade Generative AI and Data Platform on AWS, with emphasis on LLM powered capabilities, vector search, graph-based knowledge systems, and governed data pipelines.

Responsibilities

Design and operationalize LLM powered applications using retrieval augmentation (RAG), embeddings, prompt orchestration, and evaluation frameworks.
Develop vector search solutions leveraging Amazon OpenSearch.
Build graph-based knowledge systems with Amazon Neptune.
Integrate AWS data stores such as ElastiCache (Redis) and DynamoDB to support AI workloads.
Construct agentic workflows using LangGraph, AutoGen, CrewAI, or equivalent frameworks.
Incorporate LangChain or LlamaIndex for retrieval orchestration, tool calling, and context management.
Define standards for tool integration and context sharing following MCP style designs.
Evaluate LLM models and retrieval strategies with a focus on latency, accuracy, cost, and context limits.
Design and build scalable data pipelines using Databricks and Apache Spark.
Develop data ingestion, transformation, document processing, embedding generation, and indexing pipelines.
Ensure data quality through validation, completeness, consistency, and ongoing monitoring.
Implement data governance, access controls, retention policies, auditability, and lineage tracking.
Develop secure and scalable backend services and APIs with robust design principles.
Define API standards, versioning, reliability, retry logic, circuit breakers, and idempotency.
Build reusable platform capabilities that serve multiple teams and applications.
Establish and manage CI/CD pipelines to support rapid development cycles.
Deploy production systems using Docker and Kubernetes, with blue/green, canary, rollback, and feature flag strategies.
Monitor platform reliability, observability, security, data freshness, and cost optimization.
Define and monitor GenAI quality metrics including grounding, retrieval relevance, response consistency, latency, and cost.
Implement prompt and version tracking, evaluation pipelines, and continuous improvement workflows.
Ensure AI security through access controls, authentication, data protection, responsible AI guardrails, privacy, and auditability.

Requirements

5+ years of experience in Generative AI and LLM work including RAG, embeddings, and prompt engineering.
Hands-on experience with AWS Cloud services such as OpenSearch, Neptune, DynamoDB, and ElastiCache/Redis.
Strong background in vector search and retrieval systems (OpenSearch or vector databases).
Proficiency with graph databases and knowledge graph concepts (Amazon Neptune).
Experience with LLM frameworks such as LangChain or LlamaIndex.
Experience with agentic AI frameworks like LangGraph, AutoGen, or CrewAI.
Experience building data pipelines with Databricks and Apache Spark (including embedding pipelines).
Backend/API development expertise in Python, including scalable APIs and microservices.
Proven track record of delivering production-grade Generative AI solutions.
Strong Python programming skills and familiarity with distributed systems, API design, and scalable backend development.
Experience building end-to-end AI/ML platforms and lifecycle delivery.
Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Technologies

LangChain, LlamaIndex
LangGraph, AutoGen, CrewAI
OpenSearch, Amazon Neptune, DynamoDB
ElastiCache (Redis)
Databricks, Apache Spark
Python, Docker, Kubernetes

Benefits

Dental insurance
Health insurance
Referral program
Vision insurance

Preferred Skills

Model evaluation frameworks and LLM observability tools
AI governance and compliance frameworks
Kubernetes and advanced MLOps practices
Model Context Protocol (MCP) patterns
Agent-based architectures

Domain Experience

AI/ML Platform Engineering
Generative AI / LLM Applications
Data Platform / Big Data Engineering

Soft Skills

Strong problem-solving and analytical thinking
Ability to communicate complex AI concepts clearly
Collaborative and cross-functional mindset
Ownership-driven and proactive execution

Application Questions

Are you comfortable working on W2, or should you wait for a future 1099/C2C opportunity?
Are you willing to work on a contract basis, or should you wait for future full-time opportunities?
Do you have at least 5 years of experience with Graph Databases (Amazon Neptune, Knowledge Graphs)?
Do you have at least 5 years of experience with Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)?
Do you have at least 5 years of experience with Databricks and Apache Spark (data pipelines, embedding pipelines)?
Do you have at least 5 years of experience with Backend/API Development (Python, scalable APIs, microservices)?
Do you have at least 5 years of experience with Generative AI / LLM (RAG, embeddings, prompt engineering)?
Do you have at least 5 years of experience with AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)?
Do you have at least 5 years of experience with Vector Search and Retrieval Systems (OpenSearch / Vector DB)?

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9d ago

Machine Learning Engineer

Tata Consultancy Services Sunrise, FL

Sunrise, FL

9d ago

$90k - $110k/yr Full time Agentic Ai Ai Ml Artificial Intelligence

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Job Description

Tata Consultancy Services is looking for an experienced Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by large language models. This onsite opportunity in Sunrise, Florida concentrates on end-to-end GenAI use cases and production-grade systems, requiring a strong background in ML engineering and hands-on work with leading LLMs. The role offers a competitive annual compensation and calls for a minimum of eight years of relevant experience.

Responsibilities

Design, develop, and deploy GenAI applications utilizing large language models.
Build and implement agentic workflows with LangChain and LangGraph.
Develop machine learning models and deliver production-ready AI solutions.
Implement and manage LLM memory and state management strategies.
Optimize prompts, retrieval pipelines, and orchestration workflows.
Collaborate with product and platform teams to deliver scalable AI capabilities.
Deploy, monitor, and maintain AI/ML systems in production environments.
Evaluate and integrate both open-source and proprietary LLMs.

Requirements

Strong experience with LLMs from providers such as OpenAI, Anthropic, Llama, and Mistral.
Hands-on work with LangChain and/or LangGraph.
Solid understanding of LLM memory architecture and state management.
Proficiency in Python and adherence to ML engineering best practices.
Minimum of eight years of relevant professional experience.

Technologies

LangChain
LangGraph
Python
OpenAI
Anthropic
Llama
Mistral
Vertex AI
BigQuery
GCS

Benefits

Discretionary annual incentive.
Comprehensive medical coverage including medical, dental, vision, disability planning and pet insurance.
Family support through maternal and parental leaves.
Insurance options for auto and home, plus identity theft protection.
Convenience and professional growth benefits such as commuter benefits and training reimbursement.
Time off including vacation, personal time off, sick leave, and holidays.
Legal and financial assistance, 401K plan, performance bonus, college fund, and student loan refinancing.

Location

Sunrise, FL (onsite)

Job Function

Consultancy

Role

Engineer

Job ID

421850

Desired Skills

Machine Learning

Salary

USD 90,000 - 110,000 per year

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Lang Graph Engineer Jobs

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