Python Developer– Generative AI & Cloud (Agentic AI) Job at Realign (Tampa, FL and Jersey City, NJ)

Python Developer– Generative AI & Cloud (Agentic AI)

Location

United States , Tampa, FL and Jersey City, NJ

Salary:

160000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong hands‑on experience in Python development for AI/ML workloads
Practical exposure to Generative AI models (LLMs, transformers, diffusion models)
Understanding/practical knowledge on Agentic AI frameworks
Experience working with cloud‑native AI services on GCP/AWS/Azure
Understanding of privacy‑preserving ML techniques and responsible AI practices
Experience working with prompt engineering including tool calling and guardrails
Familiarity with MLOps pipelines, model deployment, and monitoring
Ability to design scalable, production‑ready AI solutions

Job Responsibility

Design, develop, and optimize Python‑based AI/ML applications
Build, fine‑tune, and deploy Generative AI solutions using modern frameworks
Integrate AI models with cloud platforms and managed AI services
Develop scalable APIs and microservices supporting AI workloads
Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions
Implement CI/CD pipelines ensuring code quality, testing, and security
Monitor and optimize performance, reliability, and cost of cloud AI deployments
Ensure compliance with data privacy, security, and responsible AI guidelines

Fulltime

Senior Ai Engineer (Agentic & Generative Ai)

We are seeking a Senior AI Engineer to design and deploy Agentic and Generative ...

Location

Malaysia , Kuala Lumpur

Salary:

8000.00 - 12000.00 RM / Month

Randstad

Expiration Date

July 06, 2026

Requirements

Mastery of Python
Professional proficiency in LangChain for orchestration and PyTorch for model development/fine-tuning
Expert-level prompt engineering and experience in refining LLM performance for enterprise applications
Proven experience deploying scalable AI solutions on cloud platforms, specifically Azure or AWS
Strong understanding of feature engineering, data management, and automated visualization techniques

Job Responsibility

Develop and optimize RAG pipelines and multi-agent systems to facilitate autonomous decision-making and collaboration
Utilize Model Context Protocol (MCP) and Python to integrate AI models with external systems and Master Data Management (MDM) platforms
Build and maintain CI/CD pipelines via Azure AI Foundry for model training, testing, and real-time performance monitoring
Collaborate with stakeholders to translate business requirements into technical AI use cases, including automated visual inspection and financial reporting
Ensure all solutions adhere to enterprise standards for security, data privacy, and Ethical AI

What we offer

Hybrid working arrangements

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong Python and backend engineering expertise
Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
Knowledgeable in data engineering concepts, including data pipelines and vector databases
Experienced with at least one major cloud platform (Azure, AWS, or GCP)
Familiar with containerisation and deployment using Docker and Kubernetes
Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
Committed to secure, ethical, and responsible use of AI technologies

Job Responsibility

Build LLM‑based copilots and intelligent assistants for enterprise use cases
Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
Integrate enterprise platforms and external APIs into scalable AI solutions
Build data pipelines for ingestion, transformation, and embedding workflows
Implement and manage vector databases, ensuring performance and reliability
Establish evaluation frameworks to assess LLM output quality and relevance
Implement observability practices including tracing, logging, and monitoring
Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines

What we offer

Opportunities to work on cutting‑edge, enterprise‑scale AI systems
Exposure to complex, real‑world use cases with measurable business impact
A collaborative environment that supports continuous learning and growth
Competitive salary and access to Vodafone’s global career development ecosystem

Fulltime

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong Python and backend engineering expertise
Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
Knowledgeable in data engineering concepts, including data pipelines and vector databases
Experienced with at least one major cloud platform (Azure, AWS, or GCP)
Familiar with containerisation and deployment using Docker and Kubernetes
Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
Committed to secure, ethical, and responsible use of AI technologies

Job Responsibility

Build LLM‑based copilots and intelligent assistants for enterprise use cases
Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
Integrate enterprise platforms and external APIs into scalable AI solutions
Build data pipelines for ingestion, transformation, and embedding workflows
Implement and manage vector databases, ensuring performance and reliability
Establish evaluation frameworks to assess LLM output quality and relevance
Implement observability practices including tracing, logging, and monitoring
Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines

What we offer

Opportunities to work on cutting‑edge, enterprise‑scale AI systems
Exposure to complex, real‑world use cases with measurable business impact
A collaborative environment that supports continuous learning and growth
Competitive salary and access to Vodafone’s global career development ecosystem

Gen AI Python Developer

The Applications Development Intermediate Programmer Analyst is an intermediate ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4-8 years of relevant experience in Apps Development or systems analysis role
Strong foundational knowledge in Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs)
Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs
Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation
Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates
Hands-on experience with agentic framework-based use case implementation
Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features
Strong programming proficiency in Python, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex
Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools

Job Responsibility

Participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team
Contribute to applications systems analysis and programming activities

Fulltime

Senior Agentic AI Developer

Build production-grade autonomous agents and orchestration systems that reshape ...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

6+ years in software engineering
3+ years hands-on building production-grade AI/ML systems
Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques

Job Responsibility

Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...

Location

United States , San Francisco

Salary:

156000.00 - 234000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices

Job Responsibility

Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Fulltime

Python AI Developer

We are seeking a Python Developer with a passion for AI to join our Data team, r...

Location

Spain , Barcelona

Salary:

Not provided

DocMorris AG

Expiration Date

Until further notice

Requirements

Minimum 2 years of experience as a Data Scientist, in a customer-centric company, preferably e-commerce, transactional marketplace, or e-health
Degree in Computer Science, Data Science, Engineering or similar
Professional experience developing, monitoring, & maintaining APIs
Advanced Python: FastAPI or other web frameworks
Connections to SQL &/or NoSQL databases
Deployed to production environments, using Kubernetes or other cloud-native deployment solutions
Background skills: Datadog or other alarm/monitoring tools, GIT & CI/CD
Professional or personal experience developing GenAI solutions with: LLMs, propietary (ChatGPT, ...) &/or open source (DeepSeek, ...)
LangChain/Graph, LlamaIndex, or other LLM frameworks
Langfuse, Langsmith, or other LLM observability tools

Job Responsibility

Interface with product teams & stakeholders to deliver AI initiatives, understand and solve data needs, and brainstorm and co-create new data products using generative AI
Create, evaluate, & improve AI agents and LLM applications, as well as helping to maintain a diverse variety of data products including smart/optimization/personalization algorithms, recommender systems, and predictive models
Develop these from the initial idea to the implementation deployed in production, with a mind toward the final consumer/stakeholder, accuracy, scalability, high -availability, and an iterative approach
Care for the standards and quality of your code and implementation
Support your teammates by participating in data science brainstorming discussions, reviewing their code and results, and working collaboratively, especially during the POC/R&D phase

What we offer

Ticket restaurant 11€/day worked
Social benefits package. You can dedicate a part of your gross salary to Ticket Transport or Nursery
25 days of holiday
Health insurance with Sanitas is paid by Promofarma (for those who want it!)
Birthday day-off + 50€ voucher to spend on our website!
Opportunity to participate in the employee participation program (stock options)
10% discount on our website on each purchase and up to 30% discount on DocMorris branded products
Access to eLearning platforms such as LinkedIn Learning
Access to corporate wellness plattform "Wellhub" (ex Gympass) with various offers on gyms, studios, guided classes, workouts and wellness app
Individual training opportunities and budget for personal development

Fulltime

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Python Developer– Generative AI & Cloud (Agentic AI)

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