Conversational AI Developer Job at Nuacem AI (Hyderabad)

AI Conversation Design Specialist

This role is focused on creating a Conversational AI-driven self-service experie...

Location

Munich; Berlin; Dublin

Salary:

Not provided

Personio SE & Co. KG

Expiration Date

Until further notice

Requirements

4–6 years of experience delivering AI Agents or chatbots (voice, chat, email, and messaging) preferably in SaaS, technology, or customer experience
German fluency highly preferred
Hands-on experience with chatbots / AI copilots such as Intercom Fin, Decagon, MavenAGI, Ada, Forethought or equivalent
Familiarity with APIs, comfortable occasionally writing snippets of code to bring in data from other systems into Intercom Fin
Strong understanding of AI/ML concepts, natural language processing, and customer support technologies (e.g., chatbots, virtual assistants)
Experience working with data analytics tools and interpreting model performance metrics
Demonstrated ability to translate business needs and customer pain points into technical requirements for AI solutions
Experience collaborating with Product, Engineering, Data, Systems, Customer Support, and Professional Services teams
Knowledge of customer experience metrics (CSAT, NPS, etc.) and best practices in B2B SaaS
Strong project management skills, including Agile or similar methodologies

Job Responsibility

Self-Service and Productivity Outcomes: Drive contact volume reduction and self-service by implementing solutions for top contact drivers, as well as driving Support Agent productivity and handling time through improvements to co-pilots
AI Conversation Automation: Develop AI automated workflows / agent operating procedures, run batch tests, configure personalized answers, and reverse engineer unresolved conversations
Conversation Design: Architect natural, useful interactions between customers and AI chatbots. Design the flow and logic of conversations for the chatbots, partnering with subject-matter experts. You tune and design bot conversations —flows, intents/tagging, prompts/responses, fallback logic— to cut hallucinations, misroutes, and unnecessary handoffs
AI Service Journey Design: Define and govern AI↔human and AI↔AI handoffs (confidence thresholds, triggers, routing rules), ensuring brand voice, privacy, and responsible-AI standards, building a deep knowledge of our customer journeys and user stories to anticipate and design for different scenarios
Data Integration: bring data from 3rd party systems and our own product into Intercom Fin to improve AI conversation effectiveness
Performance Monitoring and Improvement: Track key metrics (e.g., self-serve resolutions, monthly active users, deflection rates, resolution time, customer experience score, NPS) to evaluate AI impact, identify gaps, and implement improvements
AI Solution Delivery: Lead the implementation of AI-powered tools (e.g., chatbots, copilots, virtual assistants) that address common customer pain points and streamline support and professional services processes, and partner with Engineering and Systems on integrations and fixes
Cross-Functional Collaboration: Work closely with Product, Engineering, Customer Experience, Data and Systems teams to ensure AI solutions are aligned with customer needs and business objectives, and that we integrate seamlessly with the Personio Assistant and internal support tooling
Continuous Quality Improvement: Oversee the ongoing quality fine-tuning of AI tools using real customer data and feedback to improve routing, accuracy, relevance, and customer satisfaction. You approach with a product mindset, anticipating edge cases and interaction effects, and regression test as new changes are introduced. You monitor bot/service health, triage incidents and misroutes, and coordinate rapid fixes and postmortems as needed
Change Management: Champion the adoption of AI tools within customer-facing teams, supporting the development of training materials and enablement sessions dedicated to developing AI proficiency within CX

What we offer

Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years
Make an impact on the environment and society with 1 (fully paid) Impact Day
Receive generous family leave, child support, mental health support, and sabbatical opportunities
We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch
20 Flex Days per year to work remotely from other locations

Fulltime

Conversational AI Manager

As a Conversational AI Manager, you will manage customer relationships and overs...

Location

Spain , Barcelona

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Experience steering teams up to 3 people
experience as Management Consultant with Business & IT focus
ideally experience in IT Service Management (e.g., ITIL) and/or IT Project Management
self-organized and structured
fluent English
experience working with international teams
experience in complex technical solutions
minimum of 5 years experience as Project Manager

Job Responsibility

Lead a team of up to 3 people in managing Service Management priorities
define quarterly priorities and oversee their delivery
drive strategically selected topics such as customer revenue planning and customer targeting
shape the strategic business roadmap for Conversational AI solutions
actively participate in the full IT process by providing and developing cost-effective IT services
define key indicators and relevant parameters of the service including costs, quality, capacity, business continuity, and IT security
coordinate standard solutions and customer needs
coordinate continuous service improvement initiatives
engage and maintain strong relationships with customers, clients, and suppliers
collaborate closely with project management and technical teams

What we offer

Full time permanent contract
23 days annual leave
continuous training including certifications and accreditations
life and accident insurance
flexible benefits program (health insurance, meal vouchers, childcare vouchers, mobility, training)
'Privilege Club' with deals for several brands
detailed and personalized onboarding
recreational spaces in offices
companionship and great working environment
opportunity to develop professional career with individualized career development plan

Fulltime

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

AI Application Developer

Our client is a global leader in consumer electronics, known for its cutting-edg...

Location

Netherlands

Salary:

Not provided

ARIAD

Expiration Date

Until further notice

Requirements

Ambition to further develop your career in AI application development and digital innovation
Proven experience in full-stack web development with frameworks such as Angular or Django
Past experience in the consumer electronics or e-commerce industry is a plus
Your strengths include Python, Java, or C++, and working with AI frameworks like TensorFlow or PyTorch
Working experience with cloud platforms such as AWS, Google Cloud, or Azure is essential
Experience in integrating Generative AI and NLP into web applications
Strong problem-solving and analytical skills to tackle complex technical challenges
Excellent communication skills and ability to collaborate across teams
Fluent in English
other languages are a plus

Job Responsibility

Design and develop AI-powered user applications tailored to internal productivity needs
Collaborate with cross-functional teams to define and implement innovative AI features
Integrate machine learning models into applications for seamless and intelligent user experiences
Optimise AI models for performance, scalability, and accuracy
Design intuitive interfaces with a focus on natural language processing (NLP) and conversational AI
Conduct thorough testing and debugging to ensure reliability and functionality
Manage data collection, preprocessing, and compliance for AI model training
Continuously improve applications based on user feedback and emerging AI trends

What we offer

Digital recruitment process and onboarding to the company
Work for a well-known global brand with a strong presence in the consumer electronics market
You will have the opportunity to work with a forward-thinking and collaborative team focused on innovation
Working from home: 2 days per week
You’re joining an impressive network of +100 digital consultants and the Ariad staff, all dedicated to helping and supporting each other to succeed, and drive innovation
You will never be a number: we match you with projects that suit your skills and ambitions
Personalised follow-up & honest feedback guided by our Digital Talent Managers
Gain a rich community of other digital professionals at quarterly events and meetups. Join our annual Workcation event in sunny Southern Spain
Ongoing opportunities to learn and grow professionally including personal and professional development and guidance
Access to leading A-brands in Europe such as Samsung, ING Bank, Carrefour, L'Oreal, Decathlon and many others

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

Gen AI Solution Developer

The Markets Intelligence team focuses on developing commercial insights from int...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced expertise in machine learning, deep learning, and artificial intelligence, with a proven track record of developing complex AI-driven solutions
Strong proficiency in Python, preferred experience in web frameworks like FastAPI or Flask
Proven experience building or designing chatbots (a portfolio or links to examples are highly encouraged)
Demonstrated ability to effectively communicate and collaborate with technical and non-technical stakeholders (e.g., Sales, Trading, MQA)
Markets experience highly preferred
Deep familiarity with prompt engineering, context window optimization, and evaluation frameworks
Good understanding of agentic architectures, including planning, reasoning, and multi-agent collaboration, preferred knowledge in LangChain, LangGraph etc.
Experience integrating chatbots or AI systems into CRM systems, websites, or mobile applications
Knowledge of AI/ML pipelines or data labeling processes
Experience in Data Analytics and its distribution via Chatbots.

Job Responsibility

Collaborate cross-functionally with diverse teams including Sales, Trading, Market Quantitative Analysis (MQA), and Technology to design, develop, deploy, and manage the full lifecycle of Generative AI chatbot solutions
Design and implement chatbot flows, scripts, and user interactions across platforms (e.g., internal messaging apps)
Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines using embedding models, vector databases, and context management techniques
Build and utilize agentic frameworks that enable multi-step reasoning, planning, and tool orchestration for end-to-end AI workflows
Integrate chatbots and AI pipelines with a variety of data sources, including structured (SQL, APIs, CRMs) and unstructured (text, PDFs) back-end systems
Use data analysis to create better models of human behavior and other complex systems
Stay current with the evolving Gen AI ecosystem, including AI/ML trends and best practices in conversational design and automation.

Fulltime

Product Design Intern, Conversation Intelligence

We seek driven designers to shape the future of AI Agent products at Cresta. Whe...

Location

Canada , Toronto

Salary:

30.00 - 50.00 USD / Hour

Cresta

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in UX Design, HCI, or a related field
Experience with designing AI Agents, Virtual Agents, or Conversational AI
Strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms
Excellence in prototyping: skilled at using tools like Cursor, Claude Code, V0, or the latest AI tools to build realistic prototypes
Proficiency in design tools such as Figma, prototyping tools such as Cursor, Claude or V0 to create interactive prototypes
Strong at product thinking + a blend of UX disciplines (interaction design, prototyping, visual design, and user research)
Have a deep curiosity about the underlying tech of our products

Job Responsibility

Generate novel UX ideas for AI Agents, considering the needs of various user personas
Think through user and business problems, propose reasonable solutions, create detailed mockups, prototype to explore further and work with engineers to build them
Actively involved in defining product strategy and feature requirements
Constantly talk to our customers from contact centers - gathering insights into user pain points before and during the development process, and validating features to improve usability
Collaborate closely with Engineers, PMs, ML experts, Customer Success, and Sales
Be the design advocate and push for the highest quality of the polish
Constantly identify areas of opportunities and future work for the products
Have good judgment of when to ship: perfect is the enemy of good

What we offer

Lunch can be expensed (up to $25) while working in the office
PT0: 4 days
Compensation for this position includes a base salary, equity, and a variety of benefits

AI Deployment Engineer

Crescendo is hiring an AI Deployment Engineer to manage technical implementation...

Location

United States

Salary:

Not provided

Crescendo

Expiration Date

Until further notice

Requirements

4-6 years of experience building and deploying conversational AI solutions (voice and chat bots)
4-6 years of experience in a customer-facing implementation or consulting role, preferably in B2B SaaS or enterprise software
Experience integrating AI solutions with support CRMs such as Zendesk, Gorgias, and Kustomer, including configuring workflows, ticketing logic, and data handoffs between systems
Demonstrate strong practical knowledge of web technologies, including HTML, CSS and JavaScript
Excellent communication, presentation, and interpersonal skills, with the ability to influence and persuade C-suite leaders and stakeholders
Demonstrated ability to collaborate with cross-functional teams and stakeholders to achieve shared goals
Excellent project management and organizational skills, with the ability to prioritize and delegate tasks effectively
Strong analytical and problem-solving abilities

Job Responsibility

Collaborate with customers and pre-sales teams to understand requirements through detailed discovery and information gathering
Work with Engineering and Product teams to review the scope, discuss CX design options, identify potential risks and establish timelines
Design, build, and deploy the CX bot
Collaborate with design engineering teams and the Partner to connect the Partner’s knowledge sources to the platform
Develop, test, and implement the models to enhance bot accuracy, performance and stability
Integrate bot with existing systems and platforms to provide seamless user experiences
Facilitate User Acceptance Testing with the Partner to validate the deployment
Oversee the bot's deployment to the production environment, ensuring a smooth launch
Continuously monitor and optimize bot performance, adjusting based on user feedback and analytics
Create operating procedures for support associates and ensure successful completion of their training on support systems and the AI bot

What we offer

Take on challenges that actually move the needle in an industry ready for change
Earn competitive pay while building a career with endless opportunities
Enjoy remote work with the focus and flexibility to do your best work
Grow in an environment that rewards ambition and sharp execution
Thrive in a team environment where collaboration is the foundation of your success

Fulltime

Conversational AI Developer

Nuacem AI

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 05, 2026

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