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ai engineering team leader

Deriv

<div>
 
 
 Kindly note that this role is located in Cyberjaya, Malaysia, and relocation assistance will be provided.
 
 
 
 
 
 
 Deriv is an AI-first company, transforming trading through cutting-edge technology. We're seeking an exceptional AI Engineering Manager to lead our technical innovation. This role blends hands-on technical leadership with strategic management, driving cutting-edge initiatives while actively contributing to development.
 
 
 
 
 
 AI is being embedded into our company DNA, across every department. For further information, please read our guide: &lsquo;AI at Deriv:How we&rsquo;re transforming fintech with AI&rsquo;.
 
 
 
 
 
 
 Your challenges:
 
 
 
 Technical Leadership &amp; Hands-on Development:
 
 <ul>
 <li>
 Actively participate in and guide the development of advanced AI solutions, including deep learning, reinforcement learning, and graph neural networks
 </li>
 <li>
 Lead the implementation of state-of-the-art NLP solutions using spaCy, Hugging Face Transformers, and the latest Gen-AI APIs
 </li>
 <li>
 Architect and oversee vector search systems such as Weaviate, Pinecone, and Milvus
 </li>
 <li>
 Drive the development of autonomous and multi-agent systems environments
 </li>
 <li>
 Guide the integration of generative AI technologies (GPT, DALL-E, GANs)
 </li>
 <li>
 Utilise advanced transformer models like BERT, T5, and ViT to solve complex problems in NLP and computer vision.
 </li>
 </ul>
 
 
 
 
 Strategic Management:
 
 <ul>
 <li>
 Develop technology roadmaps aligned with business objectives
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI solutions across the organisation
 </li>
 <li>
 Lead architecture decisions for cloud-based AI solutions
 </li>
 <li>
 Balance resource allocation across multiple AI initiatives
 </li>
 </ul>
 
 
 
 
 People Management:
 
 <ul>
 <li>
 Build and lead a high-performing AI engineering team
 </li>
 <li>
 Provide technical mentorship and career development guidance
 </li>
 <li>
 Build a culture of innovation and continuous learning by driving the recruitment efforts of AI talent
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert-level proficiency in Python
 </li>
 <li>
 Expertise in TensorFlow, PyTorch, and scikit-learn Advanced level skills in using multiple LLM Frameworks such as Langchain, Langgraph.
 </li>
 <li>
 Hands-on experience with vector databases and similarity search systems
 </li>
 <li>
 Strong background in reinforcement learning and generative AI
 </li>
 <li>
 Practical experience with MLOps tools and practices
 </li>
 <li>
 Proficiency in big data technologies (Spark, Kafka, Hadoop)
 </li>
 <li>
 Experience with cloud platforms and edge computing solutions
 </li>
 </ul>
 
 
 
 
 Leadership Skills:
 
 <ul>
 <li>
 8+ years of technical experience in AI/and 4+ years of engineering team management
 </li>
 <li>
 Proven track record of delivering complex AI projects
 </li>
 <li>
 Experience with agile development methodologies
 </li>
 <li>
 Ability to balance technical depth with business acumen
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Strategic thinking and problem-solving abilities
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Extensive experience (8+ years) in AI/ML roles, with at least 4 years in a leadership capacity, delivering enterprise-grade solutions.
 </li>
 <li>
 Recognised contributions to AI research or projects, evidenced by publications or notable projects.
 </li>
 </ul>
 
 
 
 
 
 Company culture
 
 :
 
 <ul>
 <li>
 Join a diverse, inclusive workplace that values innovation and cross-cultural collaboration.
 </li>
 <li>
 Enjoy competitive compensation, professional development opportunities
 </li>
 <li>
 Be part of a company recognized for excellence and committed to career growth opportunities.
 </li>
 </ul>
 
 
 
 
 You'll be part of our Cyberjaya office, home to 600 talented professionals driving innovation in online trading. Our purpose-built, five-storey building enhances collaboration and creativity, leveraging cutting-edge AI and no-code/low-code platforms to push boundaries. You'll join a vibrant workplace where weekly knowledge-sharing sessions, cross-functional collaborations, and cultural celebrations create an engaging atmosphere. You'll work in a stimulating, high-tech environment featuring modern conference rooms, a fully-furnished gym, and barista-made coffee, all designed to keep you motivated and inspired.
 
 
 
 
 
 Our culture is unique, and we live by our values and leadership principles, so it's worth learning more about Deriv's culture.
 
</div>

AI Engineering Team Leader

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
2OWWNNGtq6</div>

Lead GenAI Engineer (Application Development)

Vyro

<div>
 
 About Chatly
 
 
 
 Chatly, by
 
 Vyro
 
 , is one of the fastest-growing AI chat applications redefining how users connect, learn, and express themselves through intelligent, personalised conversations. Within just months of launch, Chatly has attracted
 
 millions of users globally
 
 , received
 
 top ratings across app stores
 
 , and continues to grow rapidly as one of the leading AI chat experiences in the market.
 
 
 Backed by a talented team and a shared vision of building meaningful AI interactions, Chatly combines conversational intelligence, design innovation, and data-driven insights to make every chat feel uniquely human.
 
 
 
 About The Role
 
 
 
 We are looking for an experienced and data-driven
 
 Senior Product Manager
 
 to join our Chatly team. In this role, you&rsquo;ll play a pivotal part in defining and executing the product strategy aligning short and longterm goals, driving growth, and continuously improving the in-app user experience.
 
 
 You will work cross-functionally to turn insights into impactful product decisions and help shape the next phase of Chatly&rsquo;s evolution as a global AI leader.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead product strategy and roadmap for Chatly, ensuring alignment with business objectives and user needs
 </li>
 <li>
 Collaborate with cross-functional teams including Product, Design, Engineering, and Marketing to define, track, and optimise KPIs and success metrics
 </li>
 <li>
 Leverage data analytics tools (Amplitude, Google Analytics, Firebase, etc.) to generate insights that inform product decisions and enhance user engagement
 </li>
 <li>
 Monitor product performance and user behaviour trends to identify opportunities for optimisation, retention, and growth
 </li>
 <li>
 Build and analyse user experience and marketing funnels, defining and measuring conversion metrics at each stage
 </li>
 <li>
 Drive experimentation through A/B tests and data-led iterations to validate hypotheses and refine strategies
 </li>
 <li>
 Partner with data engineering teams to ensure data accuracy, accessibility, and scalability for analytics
 </li>
 <li>
 Conduct market and user research to stay ahead of emerging trends and maintain a competitive edge
 </li>
 <li>
 Communicate insights, progress, and recommendations clearly to leadership and stakeholders through structured reporting and presentations
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Computer Science, Statistics, or a related field (or equivalent practical experience)
 </li>
 <li>
 5+ years of experience in product management, analytics, or a similar data-driven product role
 </li>
 <li>
 Proven experience in defining and executing product strategy for high-growth consumer apps (AI, chat, or tech preferred)
 </li>
 <li>
 Strong command of tools like Amplitude, Google Analytics, Firebase, and Excel for data analysis and visualisation
 </li>
 <li>
 Deep understanding of product analytics, A/B testing, funnel optimisation, and user behaviour modelling
 </li>
 <li>
 Exceptional analytical and problem-solving abilities, with a track record of translating data into measurable impact
 </li>
 <li>
 Excellent communication and leadership skills, comfortable aligning teams around shared goals
 </li>
 <li>
 Experience working in an Agile environment and collaborating closely with technical teams
 </li>
 <li>
 A growth-oriented mindset with a passion for innovation, creativity, and AI-driven products
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Be part of Chatly&rsquo;s mission to shape the future of AI-powered conversations, alongside Imagine, Vyro&rsquo;s flagship creative AI product
 </li>
 <li>
 Work with a passionate, ambitious, and data-driven team that thrives on innovation
 </li>
 <li>
 Enjoy a competitive salary, benefits package, and an environment that values learning and career growth
 </li>
 <li>
 Contribute to building products that are loved by millions globally
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 Wby9vwkSzX
</div>

Senior Product Manager

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
In this role, you will lead the vision, strategy, and execution of a GPU-accelerated cloud services platform designed to empower data scientists, developers, and enterprises to build, train, and deploy AI/ML models at scale &mdash; while supporting the growth of the P2P AI ecosystem.
We&rsquo;re seeking an experienced B2B Technical Product Manager with a strong bias for action and measurable outcomes &mdash; someone who combines deep expertise in AI/ML technologies, cloud infrastructure, and product management with the drive to establish market leadership across strategic verticals.
This is a great opportunity for an experienced product leader:<ul><li>
With a strong product-led growth mindset who wants to take their career to the next level, and move from contributing to a product area to having full ownership over the building, scaling and success of an entire new product and service lines</li><li>
With experience in the field of AI / ML that goes beyond consumer level and into the core of how modern AI systems behave</li><li>
Who understands the intricacies of software and hardware to the extent that he/she can actively engage with highly-technical stakeholders</li><li>
A team leader who has had close contact with operations and feels capable to work with people in all facets of a product</li><li>
A high-agency individual who can actively set internal and external goals, team culture and liaise effectively and directly with executive management and other departments to achieve them</li></ul>
Responsibilities:<ul><li>
Product Vision &amp; Strategy: Define and champion the long-term vision for a Cloud Services Platform (CSP) across IaaS, PaaS, and SaaS models. Align product direction with company objectives and industry trends to maintain a competitive edge and deliver sustained value.</li><li>
Ownership and Leadership: Own and manage a comprehensive product roadmap, prioritizing features and enhancements that drive impact. Collaborate closely with engineering and cross-functional teams to ensure successful delivery of products and services. Build strong relationships with executives, partners, and industry influencers to foster strategic alliances and advocate for the platform&rsquo;s growth.</li><li>
Customer-Centric Focus: Engage directly with engineers, data scientists, and researchers to identify niche market opportunities, maximize value delivery, and ensure seamless product experiences that resonate with technical users.</li><li>
Ecosystem Expansion: Partner with other Tether teams to design and scale a centralized, privacy-preserving, and resilient infrastructure layer for P2P networks - strengthening the broader P2P ecosystem.</li><li>
Go-To-Market Strategy: Independently develop and execute launch plans in coordination with marketing and expansion teams. Drive positioning, messaging, and market-entry strategies that establish the platform as a key player in select AI/ML CSP niches.</li><li>
Performance Tracking: Define and monitor KPIs for product engagement, customer satisfaction, and platform performance to ensure continuous optimization and alignment with success metrics.</li><li>
B2B Orientation: Collaborate with enterprise customers to distinguish between users and decision-makers, ensuring that both receive tailored value propositions and measurable business outcomes.</li></ul><ul><li>
7+ years of product management experience, with at least 3 years as a technical product manager for AI infrastructure products that include:<ul><li>
Building or managing AI platform services involving model training, fine-tuning, inference optimization and quantization workflows</li><li>
Direct experience with GPU resource management and ML framework infrastructure (beyond API consumption of foundation models)</li></ul></li><li>
Experience interacting with cloud platform services, such as AWS, Azure or GCP across their multiple offerings</li><li>
Familiarity with AI-specific cloud platform services, such as TogetherAI, ScaleAI, Databricks or AWS SageMaker, at least from a consumer standpoint and strong understanding of underlying technologies</li><li>
Demonstrated understanding of ML model architectures, training dynamics, and optimization techniques</li><li>
Past experience in high-growth organizations</li><li>
Proven track-record of successful product launches</li><li>
Exceptional leadership, communication, prioritization and team-building skills</li><li>
Ability to engage and evangelize a product vision to both highly-technical and non-technical stakeholders alike</li><li>
Degree in engineering, physical sciences or closely related fields</li><li>
Skilled in defining, tracking, and reporting on product KPIs to measure success</li></ul>
Preferred qualifications:<ul><li>
You have hand-on experience at a cloud service provider, specially within their AI offerings</li><li>
Hands-on development experience, particularly in JS (e.g. Node.js, React, or Angular)</li><li>
Familiarity with DevOps practices and containerization</li><li>
Experience mentoring and/or overseeing other teams</li><li>
Experience in dealing with legal, compliance and regulatory stakeholders</li><li>
Hands-on experience with local AI and peer-to-peer (P2P) projects</li><li>
Experience in data-driven decision making (e.g. A/B testing, data analysis, journey mapping, etc.) and associated tools (CDP, Analytics, etc.)</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior Technical Product Manager (B2B & AI)

Rapid Labs

About us:Rapid Labs is a dynamic leader in the AI revolution, dedicated to crafting groundbreaking solutions that redefine industries such as Retail, Healthcare, Legal, and Finance. With expertise in technologies like Computer Vision, Natural Language Processing, and AI-powered Chatbots, we aim to elevate user experiences and streamline business operations. Join us on our mission to leverage artificial intelligence for impactful change and a better tomorrow!Job Overview:We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and systems that will enhance our product offerings. This role requires a deep understanding of machine learning algorithms, data processing techniques, and software development.Key Responsibilities:<ul><li>Lead the design and implementation of machine learning models and algorithms.</li><li>Collaborate with data scientists, engineers, and product managers to integrate models into production systems.</li><li>Optimize and scale machine learning models for performance and reliability.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Stay up-to-date with the latest research and advancements in machine learning and AI.</li><li>Mentor junior engineers and contribute to the overall growth of the ML team.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>Minimum of 03 years of experience in machine learning, data science, or a related field.</li><li>Proficiency in programming languages such as Python</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Solid understanding of data structures, algorithms, and software engineering principles.</li><li>Expertise in model deployment and monitoring.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently with minimal supervision.</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Blue Area IslamabadOffice Hours: 05:00 PM to 02:00 AM (Monday to Friday) Note: Please answer all the pre-screening questions; otherwise, your job application will be automatically rejected. Thank you!Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many days do you have to serve as notice period with your current employer?</li><li>Can you design a machine learning model that avoids overfitting without reducing accuracy?</li><li>Have you ever optimized a model&rsquo;s inference time by more than 30% through code or architecture changes? </li><li>Can you implement feature selection techniques using statistical or algorithmic methods (e.g., Chi-square, LASSO)? </li><li>Do you understand how to deploy ML models using Docker or cloud-based services? </li><li>Can you explain or calculate the time complexity of a custom algorithm you&rsquo;ve written? </li><li>Have you monitored model drift or used automated retraining pipelines in production? </li><li>How many end-to-end ML projects have you completed that included data preprocessing, model training, and deployment?</li><li>Can you debug and fix performance issues in large datasets exceeding 10 million rows? </li><li>9.	Have you ever implemented or fine-tuned a deep learning model using frameworks like TensorFlow or PyTorch? </li><li>Can you independently evaluate model performance metrics (e.g., precision, recall, F1-score, ROC-AUC) and interpret them accurately? </li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML: 3 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer - Onsite - Islamabad

Funprime technologies Pvt Ltd

About FunsolFunsol is a fast-growing technology company developing cutting-edge web, mobile, and AI-powered products for a global audience. Our culture blends creativity, technical excellence, and innovation to deliver scalable digital solutions that truly make an impact.We are looking for a Project Coordinator who can efficiently manage and synchronize efforts across multiple technical teams &mdash; including Python backend, Frontend, DevOps, QA, and AI engineering &mdash; ensuring smooth execution, clear communication, and timely delivery.Position OverviewAs a Project Coordinator, you will act as a key bridge between technical teams and management. You&rsquo;ll support sprint planning, track delivery progress, manage dependencies, and maintain end-to-end visibility across projects. This role requires strong organizational and communication skills, an understanding of software development lifecycles, and the ability to translate technical updates into actionable insights.Key Responsibilities<ul><li>Coordinate projects across Web (Frontend, Python, QA, DevOps) and AI engineering teams.</li><li>Collaborate with Project Managers and Product Leads to define scopes, timelines, and deliverables.</li><li>Manage sprints, tasks, and progress using tools like ClickUp, Jira, or similar.</li><li>Ensure milestones are met and cross-team dependencies are clearly communicated.</li><li>Conduct daily stand-ups, sprint reviews, and retrospectives.</li><li>Maintain comprehensive project documentation including timelines, updates, risks, and change logs.</li><li>Facilitate smooth communication between developers, QA engineers, AI researchers, and management.</li><li>Monitor project health and report blockers, risks, and progress to senior leadership.</li><li>Help prioritize tasks in alignment with business goals.</li><li>Support onboarding, documentation, and coordination for upcoming features and releases.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Project Management, or a related field.</li><li>2&ndash;5 years of experience in project coordination or software delivery roles.</li><li>Strong understanding of Agile/Scrum methodologies.</li><li>Experience with project management tools (ClickUp, Jira, Trello, Notion).</li><li>Familiarity with web development and AI project workflows (backend, frontend, ML pipelines).</li><li>Excellent organizational, documentation, and time-management skills.</li><li>Strong communication and interpersonal abilities for cross-team collaboration.</li><li>Ability to manage multiple projects simultaneously.</li></ul>Nice to Have<ul><li>Basic technical knowledge of Python, APIs, and CI/CD pipelines.</li><li>Familiarity with AI model training, deployment, or data annotation workflows.</li><li>Experience collaborating with engineering, design, QA, and DevOps teams.</li><li>Certifications such as PMP, PMI-ACP, or CSM.</li></ul>What We Offer<ul><li>Competitive compensation based on experience.</li><li>A dynamic, modern work environment at Funsol Head Office.</li><li>Collaborative team culture across both Web and AI divisions.</li><li>Opportunities to learn and grow in AI, automation, and full-stack development.</li><li>Professional development, mentorship, and leadership pathways.</li></ul>How to ApplyIf you&rsquo;re an organized, tech-savvy professional who excels at keeping teams aligned and projects on track, we&rsquo;d love to hear from you! Apply now through Indeed.Job Type: Full-timeWork Location: In person

Project Coordinator – Web & AI Team

NextGen Talent Brokers

About BitsolBitsol is a product-led, AI-accelerated software studio focused on healthcare. We partner with healthcare founders and organizations in the US to design and deliver HIPAA-compliant applications through rapid, 8-week prototyping and delivery cycles. Combining deep domain experience in clinical workflows, interoperability, and compliance with modern low-code and AI-enabled development practices, we turn validated customer problems into production-ready solutions quickly and securely. Join a mission-driven, cross-functional team that prioritizes real-world impact for patients and providers.About the RoleAs an Applied AI Engineer you will design, build, evaluate, and operate agentic AI systems and retrieval&#8209;augmented pipelines for HIPAA&#8209;sensitive healthcare products. You will own production integration of LLMs and multimodal models, the orchestration of multi&#8209;agent workflows, and the observability, safety and privacy guarantees required for clinical and regulated environments. You will work cross&#8209;functionally with Product, Engineering, DevOps and Compliance to ship reliable, auditable AI features.Key Responsibilities<ul><li>Design and implement agentic systems: multi&#8209;step agents, tool/connector interfaces, action selection policies, orchestrators and workflow engines.</li><li>Build and maintain RAG pipelines: document ingestion, chunking strategies, embeddings, vector indexes (FAISS/Pinecone/Weaviate), semantic search and recall tuning.</li><li>Integrate LLMs and multimodal models (OpenAI/Anthropic/local models/LLM-as-a-service) with robust prompt templates, function&#8209;calling/tool interfaces and orchestration frameworks.</li><li>Implement safety, alignment and privacy controls: PII/PHI scrubbing, role/row access patterns, policy enforcement, content moderation and red&#8209;teaming.</li><li>Produce reproducible evaluation and observability: automated test suites, evaluation metrics (faithfulness, precision, ROUGE/EM where applicable), logging, drift detection and dashboards.</li><li>Harden production services: API design, auth, batching, caching, rate limiting, containerization (Docker), CI/CD, SLOs, scaling and secure hosting patterns suitable for HIPAA workloads.</li><li>Build connectors and integrations (EHR APIs, FHIR/HL7, internal knowledge bases), define access &amp; consent flows, and ensure audit trails for PHI access.</li><li>Define and maintain prompt/agent libraries, tooling contracts (input/output schemas), and documentation for reproducibility and handoff.</li><li>Collaborate with Product and Compliance to translate product requirements into agent behaviors and acceptance criteria; participate in incident response and post&#8209;mortems.</li></ul>Key Qualifications<ul><li>4+ years in applied ML/AI engineering or software engineering with significant AI responsibilities; proven production experience.</li><li>Demonstrable experience building agentic systems (tool&#8209;using agents, multi&#8209;step orchestrations, or similar), not limited to single&#8209;shot prompting.</li><li>Strong, hands&#8209;on experience with retrieval&#8209;augmented systems: embeddings, vector DBs (FAISS/Pinecone/Weaviate), chunking/indexing strategies and retrieval tuning.</li><li>Proven integration experience with LLMs and model APIs, including prompt engineering, function calling, and orchestration (e.g., LangChain, LangGraph, CrewAI or equivalent).</li><li>Production engineering skills: Python, async services, API design, Docker, CI/CD pipelines, and familiarity with deployment patterns for low&#8209;latency/high&#8209;availability services.</li><li>Practical knowledge of evaluation &amp; observability for LLM systems: logging request/response, evaluation pipelines, metrics, and drift detection.</li><li>Strong understanding of data privacy, security and PHI/PII handling; experience designing for auditability and HIPAA compliance requirements.</li><li>Experience debugging model/system failures and performing root&#8209;cause analysis for hallucinations, retrieval failures, and agent misbehavior.</li><li>Solid software engineering fundamentals: testing, reproducibility, documentation and collaboration in cross&#8209;functional teams.</li><li>Clear communicator with product sensibility and ability to translate product needs into technical designs.</li></ul>Preferred / Ideal Candidate<ul><li>Experience with healthcare data, EHR integrations and interoperability standards (FHIR, HL7).</li><li>Hands&#8209;on experience deploying or fine&#8209;tuning LLMs (LoRA, SFT, full model deployments) and working with on&#8209;prem/local model deployments.</li><li>Familiarity with MLOps and feature/serving platforms (MLflow, BentoML, Tecton, Feast, feature stores).</li><li>Experience with agent orchestration/workflow tools (Temporal, Airflow, CrewAI, LangGraph) and multi&#8209;agent coordination patterns.</li><li>Prior work on model safety, alignment tooling, content moderation pipelines and red&#8209;teaming exercises.</li><li>Experience with knowledge graphs, schema/ontology design, or hybrid retrieval (BM25 + embeddings + re&#8209;ranking).</li><li>Background in building evaluation frameworks and operationalizing model QA in regulated environments.</li><li>Mentorship experience and a desire to build reusable prompt/agent libraries and team best practices.</li></ul>Perks and Benefits:<ul><li>Biannual salary increment</li><li>Health and fitness allowance</li><li>Company-sponsored sports and adventure activities</li><li>Bonuses</li><li>Fuel Allowance</li><li>Awesome learning environment</li><li>Growth opportunities</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li> applied ML/AI engineering : 4 years (Required)</li></ul>Work Location: In person

Applied AI Engineer

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