About Us At ProductSquads, we are a leading provider of software development and consulting services, empowering businesses to achieve their goals with cutting-edge solutions. With a talented team of experts, we deliver customized software solutions, augment client teams with top-notch professionals, and provide strategic guidance on agile methodologies, product management and development, enabling our clients to stay ahead in the rapidly evolving digital landscape. With a customer-centric approach and a proven track record of success, we are dedicated to delivering exceptional results and exceeding client expectations every step of the way. We are seeking a seasoned Lead Software Engineer with over 12 years of experience, specializing in web technologies, and with strong working knowledge of Node.js/React/AWS . This role is a blend of hands-on technical leadership, architectural oversight, and team mentorship. The ideal candidate will be responsible for leading engineering teams, guiding technical direction, and ensuring successful delivery of high-quality, scalable software solutions. What You’ll Do (Key Responsibilities): Lead the design, development, and deployment of applications using Node.js, React, and AWS. Set coding standards, review code, and ensure adherence to best practices. Collaborate with cross-functional teams including Product, QA, and DevOps. Mentor, guide, and grow a high-performing engineering team. Drive architectural decisions and lead technical discussions. Ensure on-time, high-quality delivery of product features and releases. Identify and address performance bottlenecks, scalability issues, and security concerns. Promote a culture of continuous improvement and learning within the team. Who You Are (Education and Qualification Requirements): Bachelor's degree in Computer Science, Software Engineering, or related field. 12+ years of hands-on software development experience. Proficiency in Node.js and React.js for full-stack development. Solid understanding of AWS services for cloud-native applications. Experience in Data information services domain. Experience leading and managing engineering teams. Excellent problem-solving skills and a strategic mindset. Strong communication and collaboration skills. Nice to have: Experience with microservices architecture. Exposure to CI/CD tools and practices. Experience in agile development environments. Show more Show less
As a seasoned Lead Software Engineer with over 12 years of experience, specializing in web technologies such as Node.js, React, and AWS, you will play a crucial role in leading engineering teams, providing technical direction, and ensuring the successful delivery of high-quality, scalable software solutions. Your responsibilities will include designing, developing, and deploying applications, setting coding standards, collaborating with cross-functional teams, and mentoring a high-performing engineering team. Additionally, you will be driving architectural decisions, ensuring on-time delivery of product features, and addressing performance bottlenecks and security concerns. Your role will also involve promoting a culture of continuous improvement and learning within the team. To excel in this position, you should hold a Bachelor's degree in Computer Science, Software Engineering, or a related field, along with 12+ years of hands-on software development experience. Proficiency in Node.js and React.js for full-stack development, a solid understanding of AWS services, and experience in the Data information services domain are essential qualifications. Moreover, you should have experience leading and managing engineering teams, possess excellent problem-solving skills, a strategic mindset, and strong communication and collaboration skills. While not mandatory, experience with microservices architecture, exposure to CI/CD tools and practices, and familiarity with agile development environments would be advantageous in this role. If you are passionate about leveraging your expertise to drive innovation, mentor teams, and deliver exceptional results in a dynamic and customer-centric environment, we encourage you to apply for this exciting opportunity at ProductSquads.,
ProductSquads, a prominent technology company committed to providing innovative solutions for driving business success, is in search of a highly skilled and seasoned Senior Software Engineer to become a valuable part of our dynamic team. As the Lead Quality Engineer, you will play a crucial role as an expert individual contributor within our decentralized scrum team. While not directly managing a team, your expertise, guidance, and the standards you establish will have a significant impact. Your responsibilities will involve steering agile testing strategies, engaging with top business and technology stakeholders, and mastering regression automation within our framework. This position is ideal for professionals with a self-driven approach, a profound passion for quality, and the ability to lead by example. Your key responsibilities will include: Agile Testing Strategy: - Take charge of the testing approach in an agile environment to ensure robustness and thoroughness. - Collaborate with the Product Owner, Scrum Master, and Developers to refine user stories, ensuring testability and setting clear acceptance criteria. - Lead discussions during sprint planning, daily stand-ups, sprint reviews, and retrospectives. High-level Stakeholder Collaboration: - Directly engage with senior business and technology stakeholders to ensure clear communication and alignment on quality expectations and deliverables. - Provide expert insights on product quality, risks, and strategies for mitigation. Advanced Regression Automation Mastery: - Independently drive regression testing, utilizing our automation framework to the fullest and maintaining a continuous feedback loop. - Introduce manual testing strategically to complement automated regression. Quality Leadership: - Set the gold standard for quality assurance practices and establish benchmarks through leading by example. - Research and introduce innovative testing methodologies, tools, and processes continuously. - Mentor and guide team members through knowledge sharing and feedback, even as an individual contributor. Self-management and Proactivity: - Operate independently and take ownership of high-impact quality assurance projects. - Proactively identify areas for improvement and drive changes to enhance the effectiveness of the QA process. Qualifications: - Bachelor's degree in information technology or a related field with relevant testing experience. - Over 8 years of experience in quality assurance, showcasing expertise in leading testing strategies. - Profound knowledge of agile methodologies and their practical applications. - Expertise in test automation tools, frameworks, and best practices. - Demonstrated ability to communicate effectively with senior stakeholders. - Strong analytical, problem-solving, and organizational skills. What We Offer: - Competitive salary without any limitations for the right candidate. - Opportunities for professional growth and development. - A collaborative and innovative work environment. - Flexible work arrangements.,
Location: Ahmedabad Company: ProductSquads About ProductSquads ProductSquads is a fast-growing digital product engineering company with a strong presence in India (Ahmedabad, Hyderabad) and the USA. With a team strength of 200+ employees, we specialize in building innovative solutions in AI, Cloud, Data, and Engineering Services, delivering scalable digital transformation for global enterprises.We partner with clients across industries to co-create next-gen platforms, leveraging our India-led offshore delivery model to provide agility, cost efficiency, and high-quality outcomes. At ProductSquads, we embrace ownership, ambition, and agility—and we’re looking for leaders who share that DNA. Role Overview We are seeking a Sales Leader (Associate Director, Sales & Account Management) to drive enterprise sales and strategic account growth. This role requires a hunter mindset with strong consultative selling ability and proven success in closing B2B enterprise deals ($200K–$600K+ ACV).The ideal candidate will own the end-to-end sales cycle—from outbound prospecting to deal closure—while also driving account expansion and upselling. You will engage with C-level stakeholders (CTOs, VPs, Digital Heads, CDOs) and position ProductSquads as a trusted partner for AI, Data, Cloud, and Platform-led transformation. Key Responsibilities Drive new logo acquisition with enterprise clients (ACV $200K–$600K+). Manage the entire sales cycle : pipeline generation, stakeholder engagement, negotiation, and closure. Build strong relationships with executive buyers (CTO, VP Engineering, CDO, Digital Leaders) . Pitch and sell AI, Cloud, Data, and Platform + Services offerings with consultative value-driven propositions. Leverage experience with India-led offshore/global delivery models to position solutions effectively. Partner with delivery and leadership teams to ensure seamless execution and client satisfaction . Drive account expansion, upselling, and long-term growth strategies . Maintain strong CRM hygiene, accurate forecasting, and disciplined reporting . Represent ProductSquads with executive presence and credibility in client meetings and industry forums. Must-Have Experience Proven track record of closing enterprise B2B deals ≥ $200K ACV (ideally $400K+). Consultative sales approach, not transactional.Strong experience with outbound sales and pipeline ownership.Exposure to AI, Data, Engineering, or Platform-led services.Experience engaging with CXO/VP-level stakeholders.Strong understanding of India-led offshore/GCC delivery models.Experience in account growth, upselling, and expansion.Strong CRM discipline (Salesforce, HubSpot, etc.). Ideal Candidate Attributes trategic hunter with entrepreneurial drive and ownership mindset.Strong executive presence and communication skills.Ability to build and maintain long-term client relationships.Self-driven with proven ability to create and convert $1M+ pipeline.Agile, ambitious, and culturally aligned with ProductSquads’ values. Why Join ProductSquads? Work with a fast-scaling, global company at the forefront of AI, Cloud, and Digital Engineering.Exposure to C-level engagements and large enterprise deals.Opportunity to build and lead sales strategy and teams.Collaborative, ambitious culture with career growth opportunities. Job Types: Full-time, Permanent Benefits: Cell phone reimbursement Flexible schedule Health insurance Leave encashment Paid sick time Paid time off Provident Fund Work Location: In person
Job Title: Senior AI/ML Engineer Location: Ahmedabad/Hyderabad Experience: 8+ Years Employment Type: Full-time About the Role: We are seeking an experienced Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in data science, deep learning, and software engineering , along with experience in scaling AI models into production . This role involves close collaboration with product, engineering, and data teams to deliver impactful, data-driven outcomes for business growth. Key Responsibilities: Lead the end-to-end lifecycle of AI/ML projects — from problem definition, data acquisition, model design, and training to deployment and monitoring. Architect and implement scalable ML pipelines and MLOps frameworks for efficient model delivery. Develop and optimize machine learning, deep learning, and generative AI models for various business use cases (e.g., NLP, computer vision, predictive analytics). Collaborate with data engineers to ensure data quality, integrity, and accessibility across multiple systems. Mentor and guide junior data scientists and ML engineers in best practices and emerging AI technologies. Partner with cross-functional stakeholders to translate business challenges into AI/ML solutions . Evaluate and implement state-of-the-art AI frameworks, libraries, and tools to enhance performance and scalability. Continuously monitor and improve model performance through retraining and drift detection. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field . 8+ years of hands-on experience in AI/ML model development, deployment, and maintenance. Expertise in Python , TensorFlow , PyTorch , Scikit-learn , Pandas , and NumPy . Good to Have: Experience in Generative AI , LLM integration , or AI-driven automation . Knowledge of data engineering and big data ecosystems (Spark, Databricks, Hadoop). Exposure to CRM data modeling , data quality frameworks , or data governance tools . Publications, patents, or participation in AI research communities. Why Join Us: Work on cutting-edge AI initiatives with real-world business impact. Be part of a collaborative, innovation-driven culture . Continuous learning and opportunities for professional advancement in AI/ML technologies. Work Hours and Benefits: Mon – Fri Paid time off and holidays Flexible working hours Opportunity to work in a dynamic and collaborative environment Professional development and training opportunities Health Insurance Other perks and benefits Please share your resume on: careers@productsquads.co
As a seasoned Lead Software Engineer at ProductSquads, you will play a crucial role in leading engineering teams, guiding technical direction, and ensuring successful delivery of high-quality, scalable software solutions. Your responsibilities will include: - Lead the design, development, and deployment of applications using Node.js, React, and AWS. - Set coding standards, review code, and ensure adherence to best practices. - Collaborate with cross-functional teams including Product, QA, and DevOps. - Mentor, guide, and grow a high-performing engineering team. - Drive architectural decisions and lead technical discussions. - Ensure on-time, high-quality delivery of product features and releases. - Identify and address performance bottlenecks, scalability issues, and security concerns. - Promote a culture of continuous improvement and learning within the team. Qualification Requirements: - Bachelor's degree in Computer Science, Software Engineering, or related field. - 12+ years of hands-on software development experience. - Proficiency in Node.js and React.js for full-stack development. - Solid understanding of AWS services for cloud-native applications. - Experience in Data information services domain. - Experience leading and managing engineering teams. - Excellent problem-solving skills and a strategic mindset. - Strong communication and collaboration skills. Nice to have: - Experience with microservices architecture. - Exposure to CI/CD tools and practices. - Experience in agile development environments.,
About the Company : ProductSquads was founded with a bold mission: to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We’re building an AI-native platform that redefines how software teams deliver value—whether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We’re developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery. About the Role : We are looking for a skilled AI/ML professional to develop, implement, and optimize machine learning models and AI solutions. The role involves data analysis, model training, and integrating AI into real-world applications to solve complex business problems efficiently. Responsibilities : Architect and implement advanced AI solutions leveraging LLMs (and other emerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). Develop and refine Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution. Engineer and optimize prompt engineering pipelines to achieve superior accuracy and low latency across diverse applications. Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. Collaborate with cross-functional teams to deliver production-grade solutions that create tangible value. Stay ahead of the curve by integrating emerging GenAI research and state-of-the-art capabilities into practical, real-world systems. Lead projects and mentor junior engineers, contributing to a culture of innovation and growth. Qualifications : Experience : 5+ years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real-world application development. Technical Proficiency : Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). Core Knowledge : Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). Prompt Engineering Mastery : Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. Agentic AI Acumen : Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. Mindset : A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast-paced, iterative environments. Work Hours and Benefits: Mon – Fri Paid time off and holidays Flexible working hours Opportunity to work in a dynamic and collaborative environment Professional development and training opportunities Health Insurance
About the Company ProductSquads was founded with a bold mission: to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We’re building an AI-native platform that redefines how software teams deliver value—whether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We’re developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery About the Role The Director – Program Management Office (PMO) will lead and manage the company’s Program Management framework, ensuring adherence to project portfolio management principles. Responsibilities Drive execution excellence in a scrum/agile environment, facilitating agile ceremonies and fostering a culture of collaboration and accountability. Partner with product, engineering, and leadership teams to align priorities and deliver high impact outcomes. Develop and present executive-level dashboards, reports, and presentations tailored for both technical and senior audiences. Oversee program governance, prioritization, and portfolio tracking to ensure alignment with business goals. Manage cross-functional coordination in a matrix environment and optimize resource utilization. Proactively identify risks, manage escalations, and lead conflict resolution to maintain delivery momentum and quality. Qualifications Direct experience with project portfolio management principles and application. Hands-on experience working in scrum/agile environments (including rituals and ceremonies). Strong exposure to product management, software development, or PMO leadership. Proven expertise in creating and delivering presentations for diverse audiences (technical and leadership). Experience working in a matrixed organizational structure with multiple stakeholders and dependencies. Required Skills 12+ years of total experience in program/project management, including leadership roles. PMP, PgMP, or Agile certifications (CSM, SAFe, or equivalent) preferred. Experience working in technology-driven or product-based organizations. Pay range and compensation package Mon – Fri Paid time off and holidays Flexible working hours Opportunity to work in a dynamic and collaborative environment Professional development and training opportunities Medical Insurance Equal Opportunity Statement We are committed to diversity and inclusivity. ```
About the Company Company Profile: ProductSquads was founded with a bold mission: to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We’re building an AI-native platform that redefines how software teams deliver value—whether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We’re developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery Job Summary: We are seeking a skilled and detail-oriented Data Engineer to join our growing team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures Experience with big data technologies, cloud platforms, and ETL processes is essential us to play a key role in driving data-driven decision-making across the organization. Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines on AWS cloud infrastructure. Build and manage data lakes, data warehouses, using AWS services (e.g., S3, DMS, Glue, Athena, Redshift, EMR, Lambda). Implement data quality checks, monitoring, logging, and alerting for pipelines. Optimize data workflows for performance, scalability, and cost-efficiency. Collaborate with cross-functional teams including Data Science, Operations, and Product teams to integrate and deliver data-driven solutions. Ensure compliance with data governance, security, and privacy standards. Write clear, maintainable documentation and contribute to data engineering best practices. Carrying out POCs on new and emerging technologies to meet business requirements. Experience with AWS Bedrock as well as integrating LLMs into data workflow and applications. Engineer and optimize LLM prompts for tasks such as data classification, summarization, enrichment, and semantic search. Create API services allowing applications to access the data using Python and AWS technologies (Lambda, API Gateway, etc). Qualifications A minimum of five years of hands-on experience with AWS cloud technologies and data engineering. Required Skills Strong expertise in AWS data services such as S3, Glue, Redshift, Athena, Lambda, and Kinesis. Proficient in Python, SQL, and distributed data processing frameworks (e.g., PySpark). Experience integrating LLMs via APIs (e.g., OpenAI, AWS Bedrock, etc.). Experience with CI/CD pipelines, Infrastructure as Code (IaC), and version control (e.g., Terraform). Understanding of data privacy, security, and compliance in AI systems. Excellent problem-solving skills, communication, and collaboration abilities. Familiarity with AI-related technologies, such as the foundational LLM's and associated frameworks and tools such as LangChain, Hugging Face, Bedrock, etc. Preferred Skills Experience with CI/CD pipelines, Infrastructure as Code (IaC), and version control (e.g., Terraform). Familiarity with AI-related technologies, such as the foundational LLM's and associated frameworks and tools such as LangChain, Hugging Face, Bedrock, etc.
About the Company : ProductSquads was founded with a bold mission: to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We’re building an AI-native platform that redefines how software teams deliver value—whether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We’re developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery. About the Role : We are looking for a skilled AI/ML professional to develop, implement, and optimize machine learning models and AI solutions. The role involves data analysis, model training, and integrating AI into real-world applications to solve complex business problems efficiently. Responsibilities : Architect and implement advanced AI solutions leveraging LLMs (and other emerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). Develop and refine Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution. Engineer and optimize prompt engineering pipelines to achieve superior accuracy and low latency across diverse applications. Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. Collaborate with cross-functional teams to deliver production-grade solutions that create tangible value. Stay ahead of the curve by integrating emerging GenAI research and state-of-the-art capabilities into practical, real-world systems. Lead projects and mentor junior engineers, contributing to a culture of innovation and growth. Qualifications : Experience : 5+ years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real-world application development. Technical Proficiency : Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). Core Knowledge : Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). Prompt Engineering Mastery : Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. Agentic AI Acumen : Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. Mindset : A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast-paced, iterative environments. Work Hours and Benefits: Mon – Fri Paid time off and holidays Flexible working hours Opportunity to work in a dynamic and collaborative environment Professional development and training opportunities Health Insurance
In ProductSquads, we are on a mission to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. Our AI-native platform is redefining how software teams deliver value, be it through code written by humans, agents, or both. The technology stack we use combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your opportunity to work on building systems that think, decide, and act, including AI fabric tools, domain-intelligent agents, and real-time decision systems to revolutionize product delivery. As the Director of the Program Management Office (PMO), your role will involve leading and managing the company's Program Management framework, ensuring strict adherence to project portfolio management principles. Your responsibilities will include: - Driving execution excellence in a scrum/agile environment, by facilitating agile ceremonies and fostering a culture of collaboration and accountability. - Partnering with product, engineering, and leadership teams to align priorities and deliver high-impact outcomes. - Developing and presenting executive-level dashboards, reports, and presentations tailored for both technical and senior audiences. - Overseeing program governance, prioritization, and portfolio tracking to ensure alignment with business goals. - Managing cross-functional coordination in a matrix environment and optimizing resource utilization. - Proactively identifying risks, managing escalations, and leading conflict resolution to maintain delivery momentum and quality. Qualifications required for this role: - Direct experience with project portfolio management principles and application. - Hands-on experience working in scrum/agile environments (including rituals and ceremonies). - Strong exposure to product management, software development, or PMO leadership. - Proven expertise in creating and delivering presentations for diverse audiences (technical and leadership). - Experience working in a matrixed organizational structure with multiple stakeholders and dependencies. Required Skills: - 12+ years of total experience in program/project management, including leadership roles. - PMP, PgMP, or Agile certifications (CSM, SAFe, or equivalent) preferred. - Experience working in technology-driven or product-based organizations. At ProductSquads, you will benefit from Mon-Fri paid time off and holidays, flexible working hours, the opportunity to work in a dynamic and collaborative environment, professional development and training opportunities, and medical insurance coverage. As an equal opportunity employer, we are committed to diversity and inclusivity. In ProductSquads, we are on a mission to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. Our AI-native platform is redefining how software teams deliver value, be it through code written by humans, agents, or both. The technology stack we use combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your opportunity to work on building systems that think, decide, and act, including AI fabric tools, domain-intelligent agents, and real-time decision systems to revolutionize product delivery. As the Director of the Program Management Office (PMO), your role will involve leading and managing the company's Program Management framework, ensuring strict adherence to project portfolio management principles. Your responsibilities will include: - Driving execution excellence in a scrum/agile environment, by facilitating agile ceremonies and fostering a culture of collaboration and accountability. - Partnering with product, engineering, and leadership teams to align priorities and deliver high-impact outcomes. - Developing and presenting executive-level dashboards, reports, and presentations tailored for both technical and senior audiences. - Overseeing program governance, prioritization, and portfolio tracking to ensure alignment with business goals. - Managing cross-functional coordination in a matrix environment and optimizing resource utilization. - Proactively identifying risks, managing escalations, and leading conflict resolution to maintain delivery momentum and quality. Qualifications required for this role: - Direct experience with project portfolio management principles and application. - Hands-on experience working in scrum/agile environments (including rituals and ceremonies). - Strong exposure to product management, software development, or PMO leadership. - Proven expertise in creating and delivering presentations for diverse audiences (technical and leadership). - Experience working in a matrixed organizational structure with multiple stakeholders and dependencies. Required Skills: - 12+ years of total experience in program/project management, including leadership roles. - PMP, PgMP, or Agile certifications (CSM, SAFe, or equivalen
Role Overview: ProductSquads is seeking a skilled AI/ML professional to join their team and play a key role in developing, implementing, and optimizing machine learning models and AI solutions. As part of this role, you will be responsible for data analysis, model training, and integrating AI into real-world applications to efficiently solve complex business problems. Key Responsibilities: - Architect and implement advanced AI solutions using LLMs, embeddings, and agentic frameworks like OpenAI Agent SDK, AutoGPT, LangChain, CrewAI. - Develop and enhance Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution. - Engineer and optimize prompt engineering pipelines to achieve high accuracy and low latency across diverse applications. - Fine-tune and deploy specialized LLMs and AI copilots to revolutionize engineering and business operations. - Collaborate with cross-functional teams to deliver production-grade solutions that add tangible value. - Stay updated on the latest GenAI research and cutting-edge capabilities to integrate them into practical, real-world systems. - Lead projects, mentor junior engineers, and foster a culture of innovation and growth within the team. Qualifications: - Experience: You should have 5+ years of hands-on experience in ML/AI/Deep Learning, with a strong portfolio of real-world application development. - Technical Proficiency: Advanced skills in Python and extensive experience with leading AI tools and libraries such as OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow. - Core Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases like FAISS and Weaviate. - Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across various models. - Agentic AI Acumen: Previous experience with autonomous AI agents or multi-agent orchestration is a significant advantage. - Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast-paced, iterative environments. (Note: The "Work Hours and Benefits" section has been omitted as it was not provided in the Job Description) Role Overview: ProductSquads is seeking a skilled AI/ML professional to join their team and play a key role in developing, implementing, and optimizing machine learning models and AI solutions. As part of this role, you will be responsible for data analysis, model training, and integrating AI into real-world applications to efficiently solve complex business problems. Key Responsibilities: - Architect and implement advanced AI solutions using LLMs, embeddings, and agentic frameworks like OpenAI Agent SDK, AutoGPT, LangChain, CrewAI. - Develop and enhance Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution. - Engineer and optimize prompt engineering pipelines to achieve high accuracy and low latency across diverse applications. - Fine-tune and deploy specialized LLMs and AI copilots to revolutionize engineering and business operations. - Collaborate with cross-functional teams to deliver production-grade solutions that add tangible value. - Stay updated on the latest GenAI research and cutting-edge capabilities to integrate them into practical, real-world systems. - Lead projects, mentor junior engineers, and foster a culture of innovation and growth within the team. Qualifications: - Experience: You should have 5+ years of hands-on experience in ML/AI/Deep Learning, with a strong portfolio of real-world application development. - Technical Proficiency: Advanced skills in Python and extensive experience with leading AI tools and libraries such as OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow. - Core Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases like FAISS and Weaviate. - Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across various models. - Agentic AI Acumen: Previous experience with autonomous AI agents or multi-agent orchestration is a significant advantage. - Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast-paced, iterative environments. (Note: The "Work Hours and Benefits" section has been omitted as it was not provided in the Job Description)
About the Company ProductSquads was founded with a bold mission: to engineer capital efficiency through autonomous AI agents, exceptional engineering, and real-time decision intelligence. We're building an AI-native platform that redefines how software teams deliver valuewhether through code written by humans, agents, or both. Our stack combines agentic AI systems, ML pipelines, and high-performance engineering workflows. This is your chance to build not just models, but systems that think, decide, and act. We're developing AI fabric tools, domain-intelligent agents, and real-time decision systems to power the next generation of product delivery About the Role The Director Program Management Office (PMO) will lead and manage the company's Program Management framework, ensuring adherence to project portfolio management principles. Responsibilities Drive execution excellence in a scrum/agile environment, facilitating agile ceremonies and fostering a culture of collaboration and accountability. Partner with product, engineering, and leadership teams to align priorities and deliver high impact outcomes. Develop and present executive-level dashboards, reports, and presentations tailored for both technical and senior audiences. Oversee program governance, prioritization, and portfolio tracking to ensure alignment with business goals. Manage cross-functional coordination in a matrix environment and optimize resource utilization. Proactively identify risks, manage escalations, and lead conflict resolution to maintain delivery momentum and quality. Qualifications Direct experience with project portfolio management principles and application. Hands-on experience working in scrum/agile environments (including rituals and ceremonies). Strong exposure to product management, software development, or PMO leadership. Proven expertise in creating and delivering presentations for diverse audiences (technical and leadership). Experience working in a matrixed organizational structure with multiple stakeholders and dependencies. Required Skills 12+ years of total experience in program/project management, including leadership roles. PMP, PgMP, or Agile certifications (CSM, SAFe, or equivalent) preferred. Experience working in technology-driven or product-based organizations. Pay range and compensation package Mon Fri Paid time off and holidays Flexible working hours Opportunity to work in a dynamic and collaborative environment Professional development and training opportunities Medical Insurance Equal Opportunity Statement We are committed to diversity and inclusivity. ```
About the Company JOB DESCRIPTION As the Director of Data & AI Engineering, you will lead the foundation of our Intelligence Stack — driving metadata management, data cataloging, and next-generation data pipelines that fuel our multi-agent AI platforms and Trust Layer architecture. About the Role As the Director of Data & AI Engineering, you will lead the foundation of our Intelligence Stack — driving metadata management, data cataloging, and next-generation data pipelines that fuel our multi-agent AI platforms and Trust Layer architecture. Responsibilities Own the Data Foundation: Lead initiatives around metadata management, data cataloging, lineage, and governance to make data discoverable, trustworthy, and reusable across AI systems. Architect Scalable Data & AI Infrastructure: Design unified data and model pipelines integrating ingestion, transformation, RAG, and inference layers. Lead High-Performing Teams: Build and mentor cross-functional teams across data engineering, AI engineering, and MLOps, setting standards for performance, observability, and automation. Operationalize AI with Data: Develop data services and vectorized pipelines that continuously enrich AI reasoning, retrieval, and contextual grounding. Integrate Across Ecosystem: Collaborate with Product, Infra, and Cloud teams to embed AI and data layers into enterprise applications, analytics, and automation workflows. Govern with Trust: Define and implement guardrails for data quality, lineage, bias detection, and model compliance — aligning to our AI safety and trust principles. Shape Data & AI Strategy: Evolve ProductSquads’ enterprise data fabric to power multi-tenant AI agents and real-time decision systems. Qualifications Experience building centralized metadata and data catalog systems (e.g., Amundsen, DataHub, Open Metadata). Hands-on expertise with vector databases (Pinecone, Milvus, FAISS) and contextual retrieval architectures. Understanding of knowledge graphs, semantic search, and data lineage frameworks. Proven record of embedding AI + data systems into enterprise-scale applications. Passion for leading data-driven innovation and mentoring teams that bridge data engineering with applied AI. Required Skills Experience building centralized metadata and data catalog systems (e.g., Amundsen, DataHub, Open Metadata). Hands-on expertise with vector databases (Pinecone, Milvus, FAISS) and contextual retrieval architectures. Understanding of knowledge graphs, semantic search, and data lineage frameworks. Proven record of embedding AI + data systems into enterprise-scale applications. Passion for leading data-driven innovation and mentoring teams that bridge data engineering with applied AI. Preferred Skills Experience building centralized metadata and data catalog systems (e.g., Amundsen, DataHub, Open Metadata). Hands-on expertise with vector databases (Pinecone, Milvus, FAISS) and contextual retrieval architectures. Understanding of knowledge graphs, semantic search, and data lineage frameworks. Proven record of embedding AI + data systems into enterprise-scale applications. Passion for leading data-driven innovation and mentoring teams that bridge data engineering with applied AI.
Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). 4+ years of hands-on work experience in full stack development. Well versed in Java (Spring), REST, OOP concepts, design patterns and SOLID principles. Exposure to applications developed within a microservices architecture. Proficient in Core Python, Flask, Django, FastAPI, ORM, Async programming, Scripting and automation. Proficient in HTML, React JS, CSS, Typescript, JavaScript, Graphql. Experience using at least one major RDBMS: PostgreSQL, SQL Server, MySQL, etc. and one major NoSQL: MongoDB, Redis, ElasticSearch, etc. Experience working with CI/CD pipelines primarily through Jenkins JTE. Exposure to AWS and AWS managed services (ECS, s3, Lambda, SQS, Amplify, etc). Exposure to containerization tools like Docker and orchestration platforms such as ECS, Kubernetes. Can produce clean DRY code on aggressive timelines. Possess strong Git-fu. Experience with Agile/Scrum methodologies
Job Description: As the Director of Data & AI Engineering, you will be responsible for leading the foundation of the Intelligence Stack by driving metadata management, data cataloging, and next-generation data pipelines that support the multi-agent AI platforms and Trust Layer architecture. Key Responsibilities: - Own the Data Foundation: Lead initiatives focused on metadata management, data cataloging, lineage, and governance to ensure data is discoverable, trustworthy, and reusable across AI systems. - Architect Scalable Data & AI Infrastructure: Design unified data and model pipelines that encompass ingestion, transformation, RAG, and inference layers. - Lead High-Performing Teams: Build and mentor cross-functional teams spanning data engineering, AI engineering, and MLOps, establishing standards for performance, observability, and automation. - Operationalize AI with Data: Develop data services and vectorized pipelines to continually enhance AI reasoning, retrieval, and contextual grounding. - Integrate Across Ecosystem: Collaborate with Product, Infra, and Cloud teams to integrate AI and data layers into enterprise applications, analytics, and automation workflows. - Govern with Trust: Define and implement guardrails for data quality, lineage, bias detection, and model compliance in alignment with AI safety and trust principles. - Shape Data & AI Strategy: Evolve the enterprise data fabric to empower multi-tenant AI agents and real-time decision systems. Qualifications: - Experience in building centralized metadata and data catalog systems such as Amundsen, DataHub, Open Metadata. - Hands-on expertise with vector databases like Pinecone, Milvus, FAISS, and contextual retrieval architectures. - Understanding of knowledge graphs, semantic search, and data lineage frameworks. - Demonstrated track record of embedding AI and data systems into enterprise-scale applications. - Passion for leading data-driven innovation and mentoring teams that bridge data engineering with applied AI.,
About the Role We are looking for a skilled AI/ML professional to develop, implement, and optimize machine learning models and AI solutions. The role involves data analysis, model training, and integrating AI into real world applications to solve complex business problems efficiently. The role involves data analysis, model training, and integrating AI into real world applications to solve complex business problems efficiently. Responsibilities Architect and implement advanced AI solutions leveraging LLMs (and other emerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). Develop and refine Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution. Engineer and optimize prompt engineering pipelines to achieve superior accuracy and low latency across diverse applications. Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. Collaborate with cross-functional teams to deliver production-grade solutions that create tangible value. Stay ahead of the curve by integrating emerging GenAI research and state-of-the-art capabilities into practical, real-world systems. Lead projects and mentor junior engineers, contributing to a culture of innovation and growth. Qualifications Experience: 3-8 years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real world application development. Technical Proficiency: Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). Core Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. Agentic AI Acumen: Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast paced, iterative environments. Required Skills Advanced Python skills Experience with leading AI tools and libraries Deep understanding of LLMs and embeddings Expertise in prompt engineering Experience with autonomous AI agents
About the Role We are looking for an experienced Full Stack Developer with strong expertise in both front-end and back end development. The ideal candidate will design, develop, and maintain scalable web applications, integrating intuitive user interfaces with robust server-side logic. You will collaborate closely with cross functional teams to deliver high-performance, secure, and responsive solutions that drive exceptional user experiences and business outcomes. Responsibilities Design, develop, and maintain AWS cloud based web applications using React JS, Java, Python and related technologies. Write clean, scalable, and efficient code following best practices and coding standards. Collaborate with team members to define project requirements, scope, and objectives. Build RESTful APIs for seamless integration between the front-end and back-end. Ensure software quality through comprehensive testing, debugging, and troubleshooting. Advocate for test-driven development (TDD) and automated testing practices. Optimize application performance, scalability, and security. Participate in code reviews, team meetings, and knowledge-sharing sessions. Stay updated with the latest industry trends and emerging technologies to ensure solutions remain current. Provide technical support and resolve application-related issues as needed. Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). 4+ years of hands-on work experience in full stack development. Well versed in Java (Spring), REST, OOP concepts, design patterns and SOLID principles. Exposure to applications developed within a microservices architecture. Proficient in Core Python, Flask, Django, FastAPI, ORM, Async programming, Scripting and automation. Proficient in HTML, React JS, CSS, Typescript, JavaScript, Graphql. Experience using at least one major RDBMS: PostgreSQL, SQL Server, MySQL, etc. and one major NoSQL: MongoDB, Redis, ElasticSearch, etc. Experience working with CI/CD pipelines primarily through Jenkins JTE. Exposure to AWS and AWS managed services (ECS, s3, Lambda, SQS, Amplify, etc). Exposure to containerization tools like Docker and orchestration platforms such as ECS, Kubernetes. Can produce clean DRY code on aggressive timelines. Possess strong Git-fu. Experience with Agile/Scrum methodologies.
About the Role We are looking for a skilled AI/ML professional to develop, implement, and optimize machine learning models and AI solutions. The role involves data analysis, model training, and integrating AI into real world applications to solve complex business problems efficiently. The role involves data analysis, model training, and integrating AI into real world applications to solve complex business problems efficiently. Responsibilities Architect and implement advanced AI solutions leveraging LLMs (and other emerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). Develop and refine Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution. Engineer and optimize prompt engineering pipelines to achieve superior accuracy and low latency across diverse applications. Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. Collaborate with cross-functional teams to deliver production-grade solutions that create tangible value. Stay ahead of the curve by integrating emerging GenAI research and state-of-the-art capabilities into practical, real-world systems. Lead projects and mentor junior engineers, contributing to a culture of innovation and growth. Qualifications Experience: 3-8 years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real world application development. Technical Proficiency: Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). Core Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. Agentic AI Acumen: Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast paced, iterative environments. Required Skills Advanced Python skills Experience with leading AI tools and libraries Deep understanding of LLMs and embeddings Expertise in prompt engineering Experience with autonomous AI agents