We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: India
Travel: 20% travel domestically and globally
Job ID:  1403

Role

We are looking for a Senior Sales Engineer, Majors to join our SE India department. This is a hybrid role based in Mumbai, reporting to the Senior Manager, Sales Engineering.You will join a global group of professionals passionate about driving a secure, cloud-enabled digital future as a leader in cloud security. You will demonstrate the power and agility of cloud transformation by aligning with regional leadership and engineering to deliver strategic solutions that solve complex customer challenges.

What you’ll do (Role Expectations)

• Provide technical thought leadership and advice to enterprise customers on how to transform their digital experience
• Take total ownership of the technical sale and associated processes
• Identify and qualify technical opportunities while developing and maintaining trusted advisor relationships with key customer stakeholders
• Deliver impactful sales pitches, technical presentations, and whiteboards to ensure successful deployments

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
  You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree or equivalent combination of education and professional experience
• 15+ years of experience as a Sales Engineer or systems integrator
  Hands-on experience in installing, configuring, and managing routers, switches, and network security technologies

What Will Make You Stand Out (Preferred Qualifications)

• Proficiency with GPO, Active Directory/LDAP, and SSO/SAML protocols
• Deep understanding of HTTP and web security technologies including proxies, caches, and firewalls
• Direct experience installing, configuring, and managing macOS, UNIX/Linux, and Windows systems

#LI-Hybrid

 #LI-SP4

Role

We are looking for a Senior Specialist Sales Engineer to join our team. This is a hybrid role based in Mumbai, reporting to the Solutions Specialist Director within Global Speciality Sales. As a member of the Core GTM Team, you will serve as the lead technical expert for Data Security in your region. You will partner closely with your Account Executive team and Core Sales teams to demonstrate product value while collaborating with Product and Engineering to drive continuous innovation.

What you’ll do (Role Expectations)

• Provide technical expertise and strategic advice to enterprise customers
• Take total ownership of the technical sales cycle and associated processes
• Independently deliver high-impact sales pitches, technical demonstrations, and whiteboard presentations

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree in Computer Science or equivalent technical experience as a Sales Engineer or systems integrator
• Significant experience in Pre-Sales roles, including a focus on selling security or networking solutions in value-based direct sales or high-touch environments
• Technical proficiency in Data Protection and web-related technologies
• Proven ability to work effectively in a matrix environment, collaborating with the broader GTM team to promote and support the Data Security business line

What Will Make You Stand Out (Preferred Qualifications)

• Experience working with Zscaler or competitive solutions within the Data Protection market
• Solid understanding of SaaS-based technologies and regional regulatory compliance requirements
• Demonstrated success teaming with a large GTM organization and partner ecosystem

#LI-Hybrid

#LI-SP4

Location - Navi Mumbai, India

Position Summary

We are seeking a highly skilled Infrastructure Security Engineer-L2 (Palo Alto & NGFW) responsible for implementation, administration, and support of Palo Alto Next-Generation Firewalls (NGFW) across enterprise and cloud environments. The role involves handling day-to-day operations, incident management, troubleshooting, and TAC coordination, along with contributing to firewall migrations and security enhancements. The engineer will play a key role in maintaining secure and stable network infrastructure for critical business operations.

Key Responsibilities

• Provide L2 support for Palo Alto NGFW environments, including incident handling, troubleshooting, and resolution.
• Manage day-to-day firewall operations, including policy changes, NAT configurations, and VPN management.
• Perform advanced troubleshooting for network and security issues across on-prem and cloud environments (AWS, Azure, GCP, OCI).
• Handle TAC coordination with vendors for critical and complex issues.
• Configure and manage:
• IPSec VPNs, Remote Access VPNs, and Clientless VPNs
• Security policies, NAT rules, and ACLs
• Work on Palo Alto Panorama for centralized management, including templates, log collectors, and policy deployment.
• Implement and support Next-Generation Firewall features such as:
• Threat Prevention
• URL Filtering
• Content Filtering
• Data Loss Prevention (DLP)
• User-ID
• Participate in and execute firewall migration projects (e.g., Cisco ASA to Palo Alto).
• Support IDS/IPS administration and monitoring, including performance tuning and alert handling.
• Perform change management activities in line with ITIL processes.
• Prepare and maintain technical documentation including HLD, LLD, SOPs, and knowledge base articles.
• Conduct security assessments, gap analysis, and recommend improvements in security architecture.
• Collaborate with L3 teams and stakeholders for design improvements and complex issue resolution.
• Provide inputs for network security strategy, transformation projects, and infrastructure planning.

Technical Skills

• Strong hands-on experience with Palo Alto NGFW (PAN-OS) and its advanced features.
• Working knowledge of Palo Alto Panorama (templates, device groups, log collectors).
• Experience with Cisco ASA firewalls and firewall migration projects.
• Strong understanding of:
• Network Security concepts
• OSI Model & TCP/IP protocols
• Routing & Switching fundamentals
• Expertise in:
• IPSec VPN configuration & troubleshooting
• NAT, ACLs, and security policy management
• Exposure to cloud security networking in:
• AWS
• Azure
• GCP
• OCI
• Knowledge of IDS/IPS systems and threat prevention mechanisms.

Basic Qualifications

• Bachelor’s degree in Engineering (B.E./B.Tech – CSE, IT, ECE) or MCA / M.Sc (Computer Science).
• Minimum 5+ years of experience in network security and firewall management.
• Hands-on experience in Palo Alto firewall administration and troubleshooting.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• PCNSE (Palo Alto Networks Certified Network Security Engineer) certification.
• CCNP Security or equivalent certification.
• Experience in enterprise datacentre and cloud security deployments.

Title: ITS Engineer (Application Packaging)

Location: Andheri (East), Mumbai

Reports to: Service Director

ABOUT US 

Agilisys is at the forefront of digital transformation and innovation in the public services sector. With over two decades of experience, we have established ourselves as a trusted partner for governments, local authorities, and organisations nationwide. Our mission is to empower our clients to deliver exceptional public services by harnessing the full potential of technology and data. 

OUR VALUES 

Partnership: we become one team and family with organisations, helping them to navigate change and stay agile. 

Integrity: our people really care, going beyond the brief to make change happen for organisations and citizens. 

Innovation: we bring together the right technologies and services to design solutions that work. 

Passion: we are passionate about – and dedicated to – public services and improving people’s lives. 

THE ROLE:

We are hiring a High-Agency Engineer to transform legacy endpoint management into a high-velocity, AI-augmented operation. Joining our Center of Excellence (CoE), you won't just maintain system, you will leverage GenAI and PowerShell to automate the intersection of Application Packaging, Cloud Deployment (Intune/SCCM), and Vulnerability Management.

ABOUT YOU:

Must-Have's

• 4+ years of hands-on experience with SCCM, Microsoft Intune, InstallShield, and ORCA for application packaging and deployment.
• Strong experience with VBScript and advanced PowerShell scripting, along with a solid understanding of Windows Registry and File System internals.
• 3+ years of experience in vulnerability management, including patch lifecycle management using tools such as WSUS, Active Directory, and endpoint security solutions.
• Demonstrated ability to manage application packaging, deployment, and remediation processes in enterprise environments.
• A strong AI-first mindset, with experience leveraging Generative AI tools to improve efficiency in triage, packaging, testing, deployment, and operational tasks.
• Hands-on experience using GenAI or automation tools to streamline application packaging, testing, deployment, and vulnerability remediation workflows.

Desired Skills

• Microsoft or vendor certifications (Intune, SCCM, Windows, Azure, ITIL).
• Experience supporting UK/regulated clients.

Who You Are 

• Behaviours & Mindset: We will hire, assess, and manage you on behaviours as much as technical skills.
• High Agency: You solve problems before they’re reported.
• Ownership: You deliver end-to-end outcomes, not just closed tickets.
• Outcome-Driven: You obsess over metrics like Patch Hygiene and Zero-Rework.
• Communicator: You can explain complex technical risks to UK-based stakeholders with ease. Clear, structured, empathetic updates across tech and business audiences.
• Collaboration – Support others, adapt under pressure, maintain team morale.

PROCESS 

Simply submit your CV. We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. Please note that our roles are primarily office based, with modern and well-connected office locations in Andheri East. 

By submitting your CV, you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing talentacquisition@agilisys.co.uk – but please note that this means we will no longer consider you for the role you have applied for. 

We have a rigorous recruitment process, which we use for all our roles to ensure we attract the very best talent. 

Agilisys is committed to building a diverse and inclusive workforce and encourages applications from all backgrounds. 

#LI-PS1

Title: ITS Engineer (Application Packaging)

Location: Andheri (East), Mumbai

Reports to: Service Director

ABOUT BLENHEIM CHALCOT:

As part of the Blenheim Chalcot portfolio, we benefit from the expertise, infrastructure, and scale of the leading global venture builder. With over 25 years of experience creating and growing SaaS businesses powered by Generative AI, Blenheim Chalcot has built 60+ ventures across sectors such as financial services, education, health, and marketing. Our global ecosystem—including Scale Space in London, the Rajasthan Royals in Mumbai, and a go-to-market base in Austin—enables us to access world-class talent, tools, and support to accelerate our growth and build a market-leading business.

THE ROLE:

We are hiring a High-Agency Engineer to transform legacy endpoint management into a high-velocity, AI-augmented operation. Joining our Center of Excellence (CoE), you won't just maintain system, you will leverage GenAI and PowerShell to automate the intersection of Application Packaging, Cloud Deployment (Intune/SCCM), and Vulnerability Management.

ABOUT YOU:

Must-Have's

• 4+ years of hands-on experience with SCCM, Microsoft Intune, InstallShield, and ORCA for application packaging and deployment.
• Strong experience with VBScript and advanced PowerShell scripting, along with a solid understanding of Windows Registry and File System internals.
• 3+ years of experience in vulnerability management, including patch lifecycle management using tools such as WSUS, Active Directory, and endpoint security solutions.
• Demonstrated ability to manage application packaging, deployment, and remediation processes in enterprise environments.
• A strong AI-first mindset, with experience leveraging Generative AI tools to improve efficiency in triage, packaging, testing, deployment, and operational tasks.
• Hands-on experience using GenAI or automation tools to streamline application packaging, testing, deployment, and vulnerability remediation workflows.

Desired Skills

• Microsoft or vendor certifications (Intune, SCCM, Windows, Azure, ITIL).
• Experience supporting UK/regulated clients.

Who You Are 

• Behaviours & Mindset: We will hire, assess, and manage you on behaviours as much as technical skills.
• High Agency: You solve problems before they’re reported.
• Ownership: You deliver end-to-end outcomes, not just closed tickets.
• Outcome-Driven: You obsess over metrics like Patch Hygiene and Zero-Rework.
• Communicator: You can explain complex technical risks to UK-based stakeholders with ease. Clear, structured, empathetic updates across tech and business audiences.
• Collaboration – Support others, adapt under pressure, maintain team morale.

PROCESS:

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. Please note that our roles are primarily office based, with modern and well-connected office location in Andheri East.

Blenheim Chalcot is a proud Equal Opportunity Employer. Diversity is one of our core values, thus making it core to our business. We strive to maximize the diversity of our workforce and welcome applications from everyone. We encourage diversity through perspective, background, identity, and thought whilst also fostering an environment where everyone can express themselves regardless of your race, religion, sex, gender, colour, national origin, disability, or any other applicable legally protected characteristic. We are committed to continuing to nurture an inclusive environment and building a diverse workforce.

#LI-PS1

We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment.

If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you.

About Blenheim Chalcot:

Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million.

The Role:

As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on.

Key Responsibilities:

Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include.

• Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement.
• Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines.
• Provide technical guidance and expertise to the team, promoting best practices in engineering.
• Collaborate with cross-functional teams to understand requirements and deliver effective solutions.
• Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture.
• Ensure data integrity and quality across various data sources.
• Support data-driven decision-making by providing clean, reliable, and timely data.
• Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
• Conduct exploratory data analysis to uncover patterns and trends.
• Identify opportunities for process improvement and drive continuous improvement in operations.
• Stay updated on industry trends, technologies, and best practices in engineering.

About You:

We are seeking to onboard candidates with a track record of leading complex delivery, demonstrating technical depth and pragmatic leadership. You’re hands‑on when it matters, coach others effectively, and make clear design trade‑offs that improve customer and business outcomes. You communicate crisply, collaborate across functions, and keep teams focused on the few things that move the needle.

The Ideal Candidate:

• Professional experience in full-stack software engineering with evidence of architecting and delivering production systems at scale.
• Proven experience mentoring and developing engineers and raising code quality standards.
• Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java.
• Extensive experience with database systems, including SQL and NoSQL databases.
• In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.).
• Experience with CI/CD practices for data solutions.
• Experience leveraging AI tools (GitHub Copilot, Claude etc) and building AI-enabled features (e.g., LLMs, automation workflows, prompt engineering, AI-assisted development) to enhance product capabilities and engineering productivity.
• Proven ability to take ownership over outputs and drive complex data projects to completion.
• Highly adaptable and comfortable working in ambiguous, problem-solving environments.
• Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales.
• Excellent communication, leadership, and collaboration skills.
  

Behaviours that we look for 

• Rigorous problem-solving and systems thinking. Breaks down complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures.
• Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start.
• Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring.
• Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery.
• Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact.

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with our Talent Acquisition team and a member of the Engineering Centre of Excellence, followed by further interviews with the Engineering Centre of Excellence team.

Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

#LI-PS1

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

     Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

• Prototype rapidly

     Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

• Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
• Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
• Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
• Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
• Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
• Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

• Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
• Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

• Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
• 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

• Experience with REST APIs, JSON, cloud SDKs
• Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
• Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

• Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
• Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
• Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

• Proficient with LLM APIs     including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
• Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

• GitHub / Git proficiency:

     Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

• Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
• Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

• Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
• Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
• Background in contact centre, CX, or enterprise SaaS environments.
• Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

Why we're hiring:

We are looking for a highly technical IT manager to oversee End User Services (EUS) and drive strategic technology operations across the India market. This role ensures optimal service delivery, enhances IT frameworks, and manages a diverse technology landscape, integrating user endpoint infrastructure, security, and compliance requirements. The successful candidate will lead IT transformation initiatives and collaborate with cross-functional teams to align technology services with business objectives while maintaining robust system integrity and security posture.

What you'll be doing:

Key Responsibilities

Leadership & Line Management of Engineer Resources

• Directly manage EUS Leads and Engineers, facilitate resource planning and workload distribution, ensuring optimal efficiency across projects and operational demands.
• Set clear goals, expectations, and KPIs to measure individual and team performance across technical operations.
• Lead mentoring and skills development initiatives, fostering a culture of innovation and technical excellence.
• Champion process standardization, implementing ITIL and service management best practices for consistent execution.

Ticket Queue Management & SLA Compliance

• Oversee ticket queue management, ensuring incidents and requests are categorized, prioritized, and assigned efficiently.
• Monitor SLA compliance, tracking ticket resolution times and ensuring adherence to service performance metrics.
• Ensure documentation of all incidents and service requests, creating detailed root cause analyses for major recurring issues.
• Lead stakeholder communication on SLA performance, ensuring transparency in service quality and incident handling expectations.

Performance Optimization

• Utilize ITIL methodologies to improve service delivery, reduce incidents, and enhance end-user experience.
• Implement continuous improvement initiatives, analyzing ticket backlog data to enhance service response times and reduce bottlenecks.
• Identify opportunities to implement AI-driven support solutions, including chatbots, predictive analytics, and self-service portals to streamline IT assistance.

Infrastructure & End-User Services Management

• Manage, implement, and optimize end-user service solutions to enhance support function in the XXX market
• Oversee device management, endpoint security, and identity access controls, ensuring compliance with global standards.
• Manage deployment, configuration, and lifecycle support for core user environments, including endpoint devices, collaboration platforms, business systems and remote access solutions.

Technology Strategy & Architecture

• Develop and refine country IT infrastructure roadmaps, ensuring alignment with business needs and scalability considerations.
• Lead technology standardization efforts for network architecture, Active Directory, endpoint security, and service automation platforms.
• Collaborate with global technology teams to integrate IT frameworks, including enterprise mobility, security policies, and system automation.
• Drive continuous improvements in system architecture, ensuring optimized performance of IT assets across on-premises and cloud-based environments.

Security, Compliance & Risk Management

• Implement cybersecurity best practices in coordination with the Cyber, Risk & Compliance (CRC) team.
• Ensure regulatory compliance across identity & access management (IAM), endpoint encryption, and data protection strategies.
• Lead incident response protocols, overseeing vulnerability management, SIEM monitoring, and remediation efforts.

Vendor & Cost Optimization

• Manage enterprise agreements with our technology partners, vendors and providers, ensuring cost-effective procurement of any licensing and services.
• Optimize IT budgets, identifying opportunities for cost reduction in service contracts and hardware lifecycle management.
• Evaluate emerging technology solutions that align with business expansion and infrastructure modernization initiatives.

Project Management & IT Transformation

• Lead market deployment of global IT initiatives, including Network, Infrastructure, Modern Workplace, and Security transformations.
• Coordinate cross-functional teams on technology rollouts, overseeing user migration strategies, cloud adoption plans, and infrastructure upgrades.

What you'll need:

Qualifications & Technical Expertise

• Bachelor's degree in Information Technology, Computer Science or a related field. Or relevant experience within Information Technology.
• Strong leadership and team management skills.
• Excellent communication and interpersonal skills.
• Strong problem-solving and analytical skills.
• Understanding of IT endpoint infrastructure, including Microsoft OS, MacOS, Active Directory, device management, Identity Management and Audio-Visual technology.
• Proficiency in ITIL and ITSM frameworks
• Experience with endpoint management platforms, including MDM solutions like Jamf and Intune.
• Demonstrated experience in IT governance, compliance audits, and risk mitigation strategies.
• Budget management expertise, overseeing software licensing, vendor contracts, and IT cost optimization.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

 #onsite

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

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Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Role Purpose

 The QA Engineer is responsible for ensuring the quality, reliability, and performance of enterprise-level applications, particularly within financial and backend systems. This role involves designing and executing comprehensive testing strategies, developing automation frameworks, and collaborating with cross-functional teams to deliver high-quality software solutions. The individual will act as a quality advocate, providing guidance on QA processes, improving testing efficiency, and ensuring adherence to industry standards and best practices.

Key Responsibilities

• Take ownership of end-to-end QA activities, including requirement analysis, test planning, execution, and reporting.
• Collaborate with Technology Leads, Product Managers, and Business Teams to align testing strategies with business goals.
• Design, develop, and maintain automated test cases, particularly for APIs and backend systems.
• Define and implement test strategies, frameworks, and processes to improve overall testing efficiency and coverage.
• Perform manual and automated testing for enterprise-class, financial, middleware, and backend applications.
• Analyze complex system behaviors and develop detailed test plans to ensure comprehensive validation.
• Execute API testing using tools like Postman and automate using frameworks such as Rest Assured with Java.
• Conduct UI testing and automation (where applicable) using tools like Selenium WebDriver.
• Write and execute SQL queries for data validation and backend verification.
• Debug application issues using server logs and backend diagnostics.
• Coordinate testing activities across application enhancements and technical operations.
• Participate actively in Agile ceremonies such as stand-ups, sprint planning, and retrospectives.
• Track defects, manage test cases, and report issues using tools like JIRA, ALM, TestRail, or X-Ray.
• Communicate project status updates, including risks, progress, KPIs, and quality metrics to stakeholders.

Key Skills, experience and Competencies

• 5–8 years of experience in Quality Assurance and Testing, with at least 2 years of hands-on automation experience.
• Strong expertise in manual testing of enterprise and financial applications, including middleware and backend systems.
• Proficiency in API testing tools such as Postman and SOAP UI.
• Hands-on experience in API automation using Rest Assured with Java.
• Familiarity with UI testing and automation tools like Selenium WebDriver.
• Strong knowledge of SQL for writing and understanding complex queries and stored procedures.
• Experience working with Unix/Linux environments.
• Exposure to backend automation, batch job testing, and log-based debugging.
• Good understanding of Agile methodologies and QA best practices.
• Experience with test management and defect tracking tools (e.g., JIRA, ALM, TestRail, X-Ray).
• Knowledge of AWS or cloud platforms is an added advantage.
• Understanding of financial systems, payment gateways, e-wallets, and related workflows.
• Strong analytical, problem-solving, and ownership mindset.
• Excellent communication and collaboration skills.
• Ability to work independently as well as within a team environment.
• Working knowledge on Agentic AI with Github Co-pilot or relevant such AI tool.

Qualifications (if required)

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in QA, Automation Testing, or Agile methodologies are a plus.

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

The Role

This is one of the most critical and demanding roles at Prodigal.

As an AI Deployment Lead, you are the person who takes an AI agent from a signed contract to a live, performing system and then keeps it getting better. You sit at the intersection of customer understanding, technical depth, and operational rigor. You own the outcome.

You will work directly with our North American customers - debt collection agencies, lenders, and loan servicers, to understand how their businesses actually run: their call flows, agent scripts/talk-tracks, compliance constraints, telephony/ dialer infrastructure, payment gateways, CRM systems, and APIs. You will translate that understanding into precise requirements and make sure what gets built is right before it ever touches a live call in production.

This is not a project management role with a technical veneer. You will design how the agent should think, speak, and behave across every scenario, validate that it does, and push for refinements until the system performs at the level the customer and you expect.

If you want to understand how enterprise AI actually gets deployed at scale, not in theory but in production, this is that role.

What You'll Own

Customer Discovery and Scoping

• Deeply understand each customer's business and existing call workflows.
• Map their full tech stack: telephony dialer, payment processors, portals, CRMs, and the APIs connecting them
• Design call flow diagrams and interaction maps that translate customer workflows into precise agent behaviours
• Translate complex, sometimes ambiguous requirements into clear, actionable scopes for engineering

Deployment and Phased Delivery

• Own end-to-end delivery across multiple deployment phases
• Manage 4 to 6 concurrent deployments with strong project governance, clear milestones, and zero surprises for the customer
• Drive all customer-facing calls, from kickoff through go-live, with clarity, confidence, and follow-through

Agent Validation and Performance

• Design comprehensive scenarios covering happy paths, edge cases and adversarial situations to ensure the agent is production-ready
• Conduct test calls alongside Agent Engineers to evaluate agent performance across real-world conditions
• Own the feedback loop: test → identify gaps → brief the Agent Engineer → retest → validate and approve

Post-Go-Live Ownership

• Stay close after launch: track agent KPIs, surface performance issues, manage post-production bugs, and drive continuous improvement
• Lead phased expansion, each new capability is a new deployment with its own scoping, testing, and go-live cycle
• Serve as the primary escalation point until the deployment reaches a stable, handoff-ready state

Stakeholder Management

• Navigate multi-stakeholder customer environments: CXOs, Operations, Compliance, IT, and Tech teams, each with different priorities and vocabularies
• Be the person customers trust - responsive, on top of every commitment, and always a step ahead
• Internally, work across functions to unblock delivery and represent the customer's reality

Who You Are

• 2+ years of work experience in B2B SaaS, consulting, digital transformation, or technical deployments/ implementations
• Experience deploying or managing voice AI agents, conversational AI, or automation systems is a strong plus
• Familiarity with the US consumer finance or debt collections industry is a plus, not a requirement
• You understand how APIs work, can read a basic integration spec, and can hold a credible technical conversation without being an engineer
• You're the kind of person who anticipates problems before they surface and builds for them
• Strong communicator, equally comfortable presenting to a CXO and working through an escalation path with an engineer
• You thrive in ambiguity and figure things out without waiting to be told how. This role comes with high ownership and low hand-holding by design
• You'll report to the Head of Customer Success and Deployments
• You'll be joining a growing deployment team
• Experience working with or for North American customers is preferred

What You'll Learn

• How to take AI agents from demo to production in one of the most regulated, high-stakes industries in the US
• How to design and validate AI systems that are safe, compliant, measurable, and commercially meaningful
• How enterprise telephony, payment infrastructure, and compliance requirements shape what AI can and cannot do in the real world
• How to operate at the intersection of product, AI, and mission-critical customer communication

AI Systems Engineer
Reporting to: Lead AI & Platform Engineer
Company: Kulfi Collective
Location: Mumbai (Hybrid)

About the role

Kulfi Collective operates at the intersection of creativity and technology, working with global brands like Spotify, Meta AI, Duolingo, and more. We’re not experimenting with AI - we’re already running agentic systems used daily by teams and clients. 

Now we’re looking for a first-principles engineer to help scale what we’ve built:

• Backend systems powering AI agents
• Workflow orchestration
• Data connectors and database architecture
• Infrastructure that holds it all together

As part of the tech team, you’ll build AI-powered products and workflows focussed on transforming creative and marketing processes. You’ll develop innovative digital products and AI-driven market intelligence and automation platforms.

You’ll write code alongside AI coding assistants as a primary development tool and build systems designed for other AI agents to consume.

A day in the life of an AI Systems Engineer 

• Build agent workflows that handle failure, retries, and real-world messiness
• Design data connectors that let agents safely discover and query brand intelligence.
• Write clean, self-explanatory schemas and data migrations (readable by humans and machines)
• Instrument everything: LLM calls and agent runs, structured traces, eval harnesses, cost and latency budgets
• Maintain and improve CI/CD pipelines, containerised deployments, and observability across managed and self-hosted infrastructure
• Work within enforced-quality frameworks: automated development and infra workflows. The machines enforce the standards. You build things
• Use AI coding assistants (e.g. Cursor, Claude Code, Codex) daily as primary development tools, not supplements
• Mentor junior engineers and help establish coding and documentation best practices
• Raise the bar on code + thinking

What are we looking for:

• 2–3 years of experience building backend systems that have actually gone live
• Strong Python/TypeScript skills (async, type hints, modern tooling)
• You write code that is clear, structured, and interpretable, by humans and AI
• Database fluency: schema design, migrations, query optimisation
• Infrastructure comfort: Docker, containers, CI/CD, debugging production systems
• Sharp eye for detail: you catch inconsistent column names, misleading error messages, and subtle bugs during review
• AI assistant fluency: hands-on experience building with tools like Claude Code, Cursor, etc., with clear judgment on when to trust outputs vs rely on core engineering thinking
• Bonus if you've worked on: Agent systems / workflow orchestration, building agents (including browser agents), data architectures for programmatic use, observability (structured logs, tracing, metrics), and self-hosted or custom infra setups

Why join us?

• Direct learnings from a lean engineering team that has designed and built agentic systems
• Access to a mature governance framework and methodology that lets a small team ship with disproportionate output
• Hands-on experience building agent-first infrastructure where AI is the operating model, not a feature
• Work on projects that blend creativity, culture, and code, impacting the biggest brands in India and globally
• The domain is learnable. We'll teach it. You bring the craft

What You’ll Do

• Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases
• Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration
• Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability
• Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations 

What We’re Looking For

• 1–3 years experience in backend / data / AI engineering
• Strong in Python + SQL
• Experience or exposure to LLMs, RAG, or prompt engineering
• High ownership, ability to work in ambiguity and ship fast
• Comfortable working with customers and cross-functional teams

Preferred Qualification

• B.Tech, BE, or M.Tech in Computer Science or a related discipline, with 1–3 years of relevant experience

Bonus

• Experience with production LLM systems / AI agents
• Familiarity with evaluation, agent tooling, or voice AI
• Experience with Databricks, MongoDB, or distributed systems
• Startup or customer-facing engineering experience

Why This Role

• Work on real production AI systems (not demos)
• End-to-end ownership and fast iteration cycles
• Direct impact on enterprise customers and business outcomes

Mode of Work - In-Office

We are building PIE (Prodigal Intelligence Engine) - the specialized intelligence layer that transforms AI agents from conversational interfaces into truly intelligent decision-makers. We're building the brain that makes agents understand context, make compliant decisions, and deliver personalized experiences at scale. Read more about PIE here

About the role

As a Senior Software Engineer on the Platform team, you'll architect the systems that power PIE - unifying siloed data sources across CRMs, lending systems, dialers, and communication channels into a unified intelligence layer. You're building infrastructure that doesn't just handle data at scale, but extracts meaning from it, enabling AI agents to make contextually intelligent, compliant decisions in real-time.

This isn't incremental improvement - it's foundational work toward an agentic future where specialized AI agents collaborate autonomously to manage entire collections operations. The systems you build today become the backbone of tomorrow's agentic workforce.

What you'll do

• Design and build the distributed systems infrastructure that powers PIE, processing millions of consumer interactions daily while maintaining sub-100ms response times for real-time agent decision-making
• Build robust data unification pipelines that reconcile and synthesize information across heterogeneous systems (CRMs, LMS platforms, dialers, communication channels) into coherent, actionable intelligence
• Create scalable platforms that can ingest, process, and serve insights from 500+ consumer attributes while supporting complex regulatory and compliance requirements
• Own end-to-end architecture and implementation - from high-level system design through production deployment and operational excellence
• Write production-grade code in Python, Golang, and Node.js that balances performance, maintainability, and speed of iteration
• Conduct rigorous code reviews, tackle complex distributed systems bugs, and take ownership of high-risk technical challenges
• Build comprehensive testing strategies spanning unit, integration, and regression capabilities to ensure reliability at scale
• Implement sophisticated monitoring, observability, and troubleshooting capabilities for complex distributed systems
• Drive improvements in key technical metrics: system availability, data freshness, query performance, and cost efficiency
• Partner with ML teams to build infrastructure that supports model training, inference, and continuous learning loops
• Influence technical direction and architectural decisions that span multiple teams and projects
• Mentor junior engineers through code reviews, architectural discussions, and collaborative problem-solving
• Champion engineering best practices, documentation standards, and operational excellence across the platform team

✅ Requirements

• B.Tech./BE/M.Tech Equivalent in Computer Science or relevant education
• 4+ years architecting and building high-throughput, distributed data platforms that process millions of events daily
• Strong hands-on expertise with NoSQL & SQL databases (MongoDB, DynamoDB, PostgreSQL) and modern data warehouses (Redshift, Snowflake, Databricks BigQuery)
• Deep experience building scalable, secure, highly available software that operates reliably under production load
• Proficiency with AWS services, containerization (Docker/Kubernetes), and modern DevOps practices
• Expertise in observability and monitoring tools (Sentry, CloudWatch, Prometheus, ELK) for troubleshooting production systems
• Strong expertise in troubleshooting complex production issues.
• Good problem solving, critical thinking, and communication skills. Should be able to find the right balance between perfection and speed of execution
• Self-starter and self-learner, who never settles
• Comfortable working in a fast paced environment while continuously evaluating emerging technologies
• Bonus: Foundational knowledge of Machine Learning and AI systems - understanding how models are trained, served, and integrated into production applications
• Bonus: Experience building platforms that power real-time AI/ML workloads or agentic systems

⚙️ Our Tech Stack

• Languages & Frameworks: Python, Golang, Node.js
• Databases: MongoDB, PostgreSQL, Databricks
• Infrastructure: AWS (EKS, EC2, Lambda), Kubernetes, Docker
• GenAI Tooling: Cursor, Claude code, and all other leading AI dev tools 

Mode of Work - In-Office (Powai, Mumbai)

What we offer

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani).