Product Manager – AI Task & Prompt Design Job at AquSag Technologies (Noida)

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Technology Consultant, UX

The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

6 + years’ experience working as User Experience Designer either in Product teams or Consulting Roles with a strong track record
M.Des / B.Des / Graduate Diploma / Post Graduate Diploma in Industrial Design, Product Design, Visual Communication, Graphic Design, Interaction Design, User Experience Design, Information and Interface Design, New Media Design, Product and Interface Design, Human Factors, Human Computer Interaction, Cognitive psychology from reputed institutes like IDC IIT Bombay, NID, Srishti School of Art Design and Technology, other IIT’s OR considerable industry experience in lieu of the same
Candidate is required to furnish a portfolio of recent usability, design, or human factors related work
Strong background in user research, usability, or Human Factors
Expertise in user-centered design processes and research methodologies
Ability to create wireframes, user flows, interaction diagrams, and prototypes (low to high fidelity)
Ability to design intuitive, scalable user interfaces within technical and system constraints
Strong storytelling and presentation skills to communicate design solutions effectively
Experience in task analysis and user workflow design (current and future states)
Ability to synthesize research insights into actionable design strategies

Job Responsibility

Lead end-to-end UX activities including workshops, user research, personas, scenarios, information architecture, wireframes, navigation, and interactive design for complex applications and AI-driven experiences such as copilots and conversational interfaces
Plan and drive UX across the development lifecycle, ensuring delivery aligns with timelines, budget, usability, accessibility, and inclusive design best practices
Define UI specifications and secure stakeholder sign-off
Collaborate with cross-functional teams to translate AI capabilities (ML models, LLMs, automation) into intuitive experiences, designing prompt-based interactions, intelligent workflows, and AI-driven user journeys
Apply Human-AI interaction principles such as transparency, explainability, trust, and error handling, while accounting for edge cases, system limitations, and uncertainty
Ensure adherence to Responsible AI principles including fairness, privacy, and ethical design
Support pre-sales and scoping by evangelizing user-centered and AI-first design approaches, conducting research, and leveraging AI-powered design tools to accelerate outcomes

Fulltime

AI Product Manager

As our AI Product Manager, you’ll be defining and delivering the next generation...

Location

Serbia , Belgrade

Salary:

Not provided

Sokin

Expiration Date

Until further notice

Requirements

Fintech & Payments Expertise: Experience building products in fintech space — specifically in payments, treasury, FX, or financial infrastructure
Strong understanding of traditional payment rails and protocols (SEPA, Faster Payments, ACH, SWIFT) and how they intersect with emerging technologies like stablecoins and blockchain-based settlement
Understanding of how card acquiring works, the key players in the payment processing chain, and the mechanics of cross-border money movement
Understanding of how stablecoins work across different setups and blockchains
Comfort working with compliance, risk, and legal stakeholders, and understand the regulatory landscape for financial services, including PCI-DSS, PSD2/PSD3, GDPR, and SOC 2
Agentic AI & Technical Depth: Hands-on experience with the latest LLMs and AI models (from Anthropic, OpenAI, Google, and open-source providers), with a deep understanding of their capabilities, limitations, and cost/performance trade-offs
Understanding of the architecture and design patterns behind agentic AI systems — multi-agent orchestration, tool use and function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows
Familiarity with emerging agent interoperability standards such as the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol, and understand their implications for building composable, production-grade AI products
Ability to design and evaluate AI systems using modern evaluation frameworks (evals, benchmarks, red-teaming) and understand the difference between measuring traditional software and probabilistic AI outputs
Experience with or strong understanding of prompt engineering, fine-tuning strategies, and the trade-offs between different AI deployment approaches (API-based, self-hosted, edge)

Job Responsibility

Define and communicate the AI product roadmap aligned to the company’s vision across payments, treasury, compliance automation, and agentic commerce
Identify and prioritise high-impact use cases for agentic AI across Sokin’s product suite, from autonomous reconciliation and intelligent payment routing to AI-driven KYC/AML workflows
Work directly with a cross-functional team of AI/ML engineers, data scientists, and platform engineers to deliver value iteratively and often
Conduct market research and competitive analysis to stay ahead of trends in LLMs, AI agents, agentic payments, and fintech automation
Spend time with customers and internal stakeholders to discover new AI product opportunities, identify improvements, and validate solutions
Collaborate with engineering, design, compliance, marketing, and sales teams to assess the value, feasibility, viability, and safety of AI-powered solutions
Define product requirements for AI systems, including model selection criteria, evaluation frameworks (evals), guardrails, latency targets, and human-in-the-loop checkpoints
Own the responsible AI framework for your products, ensuring fairness, explainability, auditability, and compliance with the EU AI Act and relevant financial regulations
Work closely with product marketing and sales to articulate the value of AI features and launch new products to clients
Monitor AI product performance using both traditional product metrics and AI-specific evaluations (accuracy, hallucination rates, agent task completion, cost-per-inference) to drive continuous improvement

What we offer

Agile, flexible working culture
Inclusive work environment
Opportunity to shape the future of payments

Fulltime

Principal Product Manager, AI

LogicMonitor® is the AI-first hybrid observability platform powering the next ge...

Location

India , Pune

Salary:

Not provided

LogicMonitor

Expiration Date

Until further notice

Requirements

8 to 9 years of product management experience, ideally in B2B software
Strong hands on fluency with AI powered products and how modern AI systems work
Proven experience owning products end to end in ambiguous environments
Strong customer instincts and comfort being customer facing
Ability to think strategically while executing tactically
Clear communicator who can align teams without relying on authority
Bias for action and comfort with scrappy execution

Job Responsibility

End to end ownership of major Edwin AI product areas from discovery to delivery to adoption
Deep customer engagement to uncover real problems and validate solutions
Clear product strategy and roadmap grounded in customer value, data, and business outcomes
Hands on collaboration with engineering, design, GTM, and applied AI teams
Product decisions across AI capabilities including agents, workflows, and intelligent experiences
Success metrics like adoption, usage, customer impact, and business outcomes
Spend real time with customers through calls, demos, feedback sessions, and follow ups
Translate messy customer problems into crisp product bets and shipped features
Work closely with engineers on scope, tradeoffs, and delivery details
Get hands on with AI concepts like prompting, evaluations, agent behavior, and failure modes

Sr. Ai Engineer

We’re looking for a Sr. AI Engineer to lead the evolution of T-Mobile’s Agentic ...

Location

United States , Overland Park

Salary:

133100.00 - 240100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ yrs developing and deploying machine learning models, particularly in the context of AI-driven customer service automation
4+ yrs experience with advanced AI techniques such as prompt engineering, fine-tuning, and creating AI tools and workflows
4+ collaborating with cross-functional teams to integrate AI systems into production environments
Proficiency in Python and AI development frameworks for building scalable AI applications
Experience with operational excellence practices and observability tools (e.g., Weights & Biases, Splunk, Datadog) for monitoring, logging, and troubleshooting AI systems in production
Experience with project management tools and agile methodologies (e.g., Jira, Azure DevOps) to plan, track, and deliver AI initiatives efficiently in cross-functional environments
Experience in LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini)
Experience with AI orchestration tools (e.g., LangChain, LlamaIndex, vector databases for retrieval augmented generation)
Hands-on knowledge of function calling and API-based reasoning models (e.g., using structured outputs to drive automated workflows)
Familiarity with RAG pipelines and vector database retrieval for augmenting AI responses

Job Responsibility

Builds agentic AI systems that accomplish complex tasks by invoking AI models as well as internal and third-party tools using APIs, ensuring seamless data flow in production environments
Optimizes performance of agentic AI systems through innovative techniques such as prompt engineering, fine-tuning and reinforcement learning using T-Mobile's customer interaction data
Develops AI tools, workflows, and middleware to enhance model capabilities, such as structured reasoning, multi-step task execution, and improved contextual memory
Implements retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data
Collaborates in a highly matrixed environment with backend engineers, business experts and conversation designers to ensure AI-driven enhancements are effectively integrated into production environments
Tracks success metrics that aligns with business requirements and continuously evaluate and improve model quality based on those metrics
Develops internal tooling and automation to streamline AI deployment, evaluation, and self-improvement mechanisms
Monitors real-world AI performance and proactively iterates on model behavior based on live interaction data
Stays up to date with latest LLM advancements in prompt design, prompt optimization, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits

Fulltime

Sr. AI Engineer

Lead the evolution of T-Mobile’s Agentic Next Best Action (ANBA) capabilities—po...

Location

United States , Overland Park; Frisco; Bellevue

Salary:

133100.00 - 240100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ yrs developing and deploying machine learning models, particularly in the context of AI-driven customer service automation.
4+ yrs experience with advanced AI techniques such as prompt engineering, fine-tuning, and creating AI tools and workflows
4+ collaborating with cross-functional teams to integrate AI systems into production environments
Proficiency in Python and AI development frameworks for building scalable AI applications.
Experience with operational excellence practices and observability tools (e.g., Weights & Biases, Splunk, Datadog) for monitoring, logging, and troubleshooting AI systems in production.
Experience with project management tools and agile methodologies (e.g., Jira, Azure DevOps) to plan, track, and deliver AI initiatives efficiently in cross-functional environments.
Experience in LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini)
Experience with AI orchestration tools (e.g., LangChain, LlamaIndex, vector databases for retrieval augmented genetation).
Hands-on knowledge of function calling and API-based reasoning models (e.g., using structured outputs to drive automated workflows).
Familiarity with RAG pipelines and vector database retrieval for augmenting AI responses.

Job Responsibility

Builds agentic AI systems that accomplish complex tasks by invoking AI models as well as internal and third-party tools using APIs, ensuring seamless data flow in production environments
Optimizes performance of agentic AI systems through innovative techniques such as prompt engineering, fine-tuning and reinforcement learning using T-Mobile’s customer interaction data
Develops AI tools, workflows, and middleware to enhance model capabilities, such as structured reasoning, multi-step task execution, and improved contextual memory.
Implements retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data.
Collaborates in a highly matrixed environment with backend engineers, business experts and conversation designers to ensure AI-driven enhancements are effectively integrated into production environments
Tracks success metrics that aligns with business requirements and continuously evaluate and improve model quality based on those metrics
Develops internal tooling and automation to streamline AI deployment, evaluation, and self-improvement mechanisms.
Monitors real-world AI performance and proactively iterates on model behavior based on live interaction data.
Stays up to date with latest LLM advancements in prompt design, prompt optimization, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK

What we offer

annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays

Fulltime

Principal AI Engineer

Lead the evolution of T-Mobile’s Agentic Next Best Action (ANBA) capabilities—po...

Location

United States , Overland Park; Frisco; Bellevue

Salary:

150700.00 - 271900.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Deep expertise in LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini)
Strong experience with AI orchestration tools (e.g., LangChain, LlamaIndex, vector databases for retrieval augmentation)
Hands-on knowledge of function calling and API-based reasoning models (e.g., using structured outputs to drive automated workflows)
Proficiency in Python and AI development frameworks for building scalable AI applications
Understanding of multi-agent architectures and best practices in agentic AI design
Experience with real-world AI evaluation techniques, including golden sets, synthetic data generation, and interactive testing
Ability to collaborate across teams, working with engineers, product managers, and conversational designers to refine AI-driven solutions
Bachelor's degree in Computer Science, Artificial Intelligence, or equivalent
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Architects agentic AI systems that accomplish sophisticated tasks by invoking AI models as well as internal and third-party tools using APIs, ensuring flawless data flow in production environments
Optimizes performance of agentic AI systems through prompt engineering, fine-tuning and reinforcement learning using T-Mobile’s customer interaction data
Develops and maintains supporting software components and scripts to enable AI model deployment, testing, evaluation and monitoring
Implement retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data
Stay at the forefront of LLM advancements, incorporating the latest techniques in prompt design, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK
Collaborates with backend engineers, business experts and conversation designers ensuring AI-driven enhancements are optimally integrated into production environments
Defining success metrics that aligns with business requirements and continuously evaluate and improve model quality based on those metrics
Participates in other duties or projects as assigned by business management as needed

What we offer

Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off and up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care

Fulltime

Select Country

Product Manager – AI Task & Prompt Design

AquSag Technologies

Location:
India , Noida

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 03, 2026

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Product Manager – AI Task & Prompt Design

AquSag Technologies

Location:India , Noida

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

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Job Posted:May 03, 2026

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