Ai / Generative Ai Engineer - Agentic Systems & Platforms Job at Vodafone (Pune)

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 Engineer (Agentic AI/Multi-Agent Systems)

We are building a next-generation AI-powered software testing platform and are l...

Location

Vietnam , Ho Chi Minh City

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field
Minimum 3 years of experience in AI Engineering, Machine Learning Engineering, Data Science, or related disciplines
Hands-on experience building and deploying Generative AI or LLM-powered applications
Strong proficiency in Python and experience building APIs using FastAPI, Flask, or similar frameworks
Hands-on experience developing Generative AI or LLM-powered applications using platforms such as OpenAI, Vertex AI, or open-source models
Familiarity with Agentic AI frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or LlamaIndex
Understanding of Prompt Engineering, RAG, Tool Calling, and AI workflow orchestration
Strong analytical and problem-solving skills, with good English communication abilities

Job Responsibility

Design and develop Agentic AI and Multi-Agent Systems for software testing automation
Build and integrate LLM-powered workflows using modern AI frameworks and APIs
Develop backend services and APIs to support agent interactions and orchestration
Conduct experiments and evaluate AI model performance, accuracy, and reliability
Collaborate with Product, QA, and Engineering teams to define and implement AI-driven solutions
Deploy, monitor, and maintain AI services in development and testing environments
Research emerging AI technologies and recommend improvements to existing solutions

What we offer

Competitive salary and 13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trip
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, basketball, badminton, pickleball)
International team with flexible working time
Tailor-made career path
Technical workshops and training courses
Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries

Fulltime

New

Senior AI Engineer – LLM & Agentic Systems

Our partner, Hungary's largest agricultural machinery manufacturer, is looking f...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

September 30, 2026

Requirements

Relevant Education: successfully completed a degree in computer science, data science, software engineering, mathematics, or a comparable field is a big advantage
AI & ML Experience: proven track record in developing AI- or ML-based applications, ideally with a strong focus on Large Language Models (LLMs)
Programming & Frameworks: sound knowledge of Python and hands-on experience with relevant AI libraries and frameworks, such as LangChain and LangGraph
Cloud & Microservices: experience with cloud platforms (primarily Azure or AWS) and designing distributed systems or microservice architectures using Java and Spring Boot
API & Core Concepts: deep familiarity with developing and integrating APIs, container technologies (Docker, Kubernetes), prompt engineering, RAG, vector databases, and agent-based systems
CI/CD & MLOps: knowledge or experience with CI/CD, MLOps, or LLMOps practices is considered a strong plus
Consultative & Communication Skills: excellent teamwork, solution-oriented mindset, and very good English communication skills (written and spoken) to effectively advise business departments
German knowledge is a plus

Job Responsibility

Generative AI Production: Design, implement, and operate services based on modern Large Language Models (LLMs) for productive systems
Agentic Workflows: Build intelligent, autonomous agent-based workflows together with our development teams
Cloud Architecture: Design and implement scalable microservice architectures that deliver AI functionality in cloud environments (Azure, GCP or AWS)
RAG Optimization: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines as well as prompt and tool integrations
Cross-Functional Integration: Partner closely with various business departments, product, data, and infrastructure teams to integrate AI solutions into existing systems and business processes
Performance & Evaluation: Ensure the performance, scalability, and reliability of AI services through monitoring, testing, and deployment, while continuously evaluating new Generative AI trends

What we offer

Fast growing company with strong and stable international background
Interesting company scope with improvement opportunities
Market level compensation package
Inspiring work atmosphere
Great team work and familiar company culture
Opportunity for joining a new Hungarain team with great ambitions
Hybrid working model (around 10% onsite)

Fulltime

Ai Engineer (Ai-native Development & Claude-based Systems)

As an AI Engineer, you play a key role in building and running the technical bac...

Location

Romania , Cluj

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of professional experience in software engineering, backend, or platform engineering roles
Strong software engineering background with hands-on experience in modern architectures
Experience in the insurance domain, with exposure to insurance platforms, business processes, or core systems (e.g. policies, claims, billing, underwriting, integrations)
Familiarity with AI‑native engineering practices, such as agent‑based or orchestration‑driven approaches (e.g. Gastown‑style concepts)
Hands-on experience with Claude or similar large language models, including: Using AI tools directly within an IDE or development workflow
Writing effective prompts for code analysis, code generation, and iterative refinement
Solid understanding of modern engineering patterns, including: API design and integration
Microservices architectures
Event‑driven and integration‑based systems
Experience working with existing, non‑trivial codebases and enabling AI‑driven analysis on top of them

Job Responsibility

Implement and maintain the AI backbone that supports end‑to‑end delivery
Configure, train, and orchestrate AI models and agents working directly on existing codebases
Enable automated gap analysis, requirement refinement, and specification generation using AI
Integrate AI capabilities into real-world software systems, not isolated PoCs
Ensure AI‑driven outputs are robust, scalable, and accurate enough for enterprise use
Continuously improve prompts, workflows, and agent coordination to increase quality and consistency
Work closely with the Intent Engineer to iterate on outputs and ensure alignment with business intent
Support a shift from traditional requirement creation to AI‑assisted, exploration‑driven delivery

What we offer

Smooth integration and a supportive mentor
Pick your working style: Remote, Hybrid or Office work opportunities
Flexible working hours
Sponsored certifications, trainings and top e-learning platforms
Private Health Insurance
Individual coaching sessions
Accredited Coaching School
Epic parties or themed events

Fulltime

Agentic AI Engineer Co-Op

An Agentic AI Engineer designs, builds, and deploys autonomous AI systems that c...

Location

Canada

Salary:

Not provided

Campbell Soup Company

Expiration Date

Until further notice

Requirements

2+ years in AI/ML system design, deployment, or autonomous agent development
Programming: Proficiency in Python (and sometimes Java, C#) for AI/ML solution development
Agent & Workflow Expertise: Experience with agent orchestration frameworks and multi-agent communication protocols
RAG & LLM Integration: Hands-on with RAG architectures, evaluation methodologies, and LLM integration
Cloud & DevOps: Experience with cloud platforms (e.g., Azure, AWS) and CI/CD pipelines
Governance & Compliance: Understanding of responsible AI, security, and compliance in regulated domains (e.g., retail)

Job Responsibility

Design & Develop Agentic Systems: Build intelligent agents capable of autonomous planning, reasoning, and task execution, often using LLMs (e.g., GPT-class, LLaMA), multi-modal models, and autonomous workflows
Orchestration & Frameworks: Implement agent orchestration using frameworks like LangChain, AutoGen, CrewAI, Semantic Kernel, or custom solutions
Retrieval-Augmented Generation (RAG): Design and optimize RAG pipelines for enhanced reasoning with external knowledge, including document ingestion, chunking, embeddings, vector stores, and retrieval ranking
Tool & Memory Integration: Develop agents that call APIs, databases, and other tools, maintain memory, and adapt based on outcomes
Evaluation & Monitoring: Create evaluation frameworks for accuracy, grounding, latency, and cost
build observability for agent behavior and failure modes
Model Adaptation: Fine-tune or adapt foundation models (e.g., via LoRA, adapters) for domain-specific use cases
Production Deployment: Deploy GenAI/agentic systems in cloud-native environments with CI/CD, versioning, and runtime safeguards
Cross-Functional Collaboration: Work with data scientists, ML engineers, product teams, and governance/compliance stakeholders

What we offer

Medical, dental, short and long-term disability, AD&D, and life insurance
Matching 401(k) plan with immediate vesting
Unlimited sick time
Paid time off and holiday pay
Free access to fitness center
Access to on-site day care operated by Bright Horizons
Company store
Employee donation/volunteer match up to $1,500 annually via Campbell's Cares program
Employee Resource Groups (ERGs)

Fulltime

Lead Python and Generative AI Engineer

We're searching for a highly skilled and experienced senior engineer and Python ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in the software industry, with a strong emphasis on building enterprise software
6+ years of relevant experience in developing and implementing scalable and robust Python-based platforms for AI-driven applications and systems using salient Python libraries (e.g., FastAPI, Flask, Django, Pandas, NumPy, Prefect, Scikit-learn, Hugging Face)
5+ years of experience delivering complex Python-based solutions and services (e.g., backend services, APIs) into production
Demonstrated experience in managing and implementing successful projects of varying sizes and complexities
Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation
Experience with cloud architectures, with specific experience in public cloud offerings
Strong passion and proven hands-on experience integrating with AI/ML technologies, particularly using Python
Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews
Ability to quickly learn new technologies, adjust priorities, influence highly skilled engineering teams, and guide technology decisions
Demonstrated leadership and project management skills

Job Responsibility

Lead the design, development, and maintenance of highly complex Python-based GenAI platforms, applications, services, and supporting infrastructure to ensure seamless operation, scalability, and integration of AI capabilities across various Citi business units
Engage with data science, technical, and business stakeholders to define and design overall architecture for key use-cases, specifically focusing on Python-based solutions for our lines of business
Drive the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions with commercial benefit for Citi, with a strong emphasis on robust Python implementations
Resolve high-impact technical and business problems, leading projects through in-depth evaluation of complex GenAI business processes, system architecture, and industry standards, providing innovative Python-driven solutions
Provide expert guidance and advanced knowledge in Python-based programming, ensuring platform design adheres to architectural blueprints and best practices for generative models
Develop and enforce robust Python coding standards, testing methodologies, debugging practices, and implementation strategies for enterprise-grade solutions, leveraging an advanced understanding of system flow
Manage multiple concurrent initiatives and projects of varying sizes and complexity, engaging with external vendors and startups for joint initiatives and exploration of new directions, particularly those involving Python-based technologies
Cultivate a comprehensive understanding of how business, architecture, and infrastructure integrate within the GenAI ecosystem at Citi to achieve strategic goals
Serve as an advisor and coach to mid-level developers and analysts specializing in Python and GenAI technologies, fostering skill development and effective work allocation
Collaborate with Citi's Risk and Control teams to ensure best practices are followed regarding governance, risk management, standardization, and tooling for Python-based GenAI systems

Fulltime

Generative AI Engineer - Vice President

We're searching for a highly skilled and experienced senior engineer and Python ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in the software industry, with a strong emphasis on building enterprise software
6+ years of relevant experience in developing and implementing scalable and robust API-driven applications and systems
5+ years of experience delivering complex GenAI solutions and services (e.g., backend services, APIs) into production
Demonstrated experience in managing and implementing successful projects of varying sizes and complexities
Proven understanding of Generative AI systems, AIOps, and application monitoring/evaluation
Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews
Ability to quickly learn new technologies, adjust priorities, influence highly skilled engineering teams, and guide technology decisions
Demonstrated leadership and project management skills
Excellent communication and documentation skills, with the ability to communicate clearly and concisely, both written and verbal
Strong analytical, problem-solving skills, and a strategic mindset

Job Responsibility

Lead the design, development, and maintenance of highly complex Python-based GenAI platforms, applications, services, and supporting infrastructure to ensure seamless operation, scalability, and integration of AI capabilities across various Citi business units
Engage with data science, technical, and business stakeholders to define and design overall architecture for key use-cases, specifically focusing on Python-based solutions for our lines of business
Drive the deployment of new GenAI products and process improvements, working with internal and external partners to design, validate, and deliver solutions with commercial benefit for Citi
Responsible for all technology components of the development and implementation of major/multiple/highly complex projects
may manage enterprise wide projects
Develops detailed IT work plans, schedules, project estimates, resource plans and status reports
Provides IT strategic direction for projects managed
Sets guidelines for appropriate staffing requirements to meet operational needs
Impacts the IT project leadership function by strategic influence and by exercising control over resources, budget management and planning
accountable for end results

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding

Fulltime

Senior Agentic AI Engineer

As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force be...

Location

United Kingdom , Cambridge

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks
Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
A builder's mentality — you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams
Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation
A software engineer's instinct for reliability, testability, and clean architecture — applied to the unique challenges of non-deterministic AI systems
Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration

Job Responsibility

Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team
Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs
Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling
Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform
Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs

Fulltime

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Ai / Generative Ai Engineer - Agentic Systems & Platforms

Job Description

Job Responsibility

Requirements

What we offer

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