Senior Artificial Intelligence Engineer, having expertise in Chat-bot development and implementation. Job Location : Remote Experience Range : 4 to 6 Years Job Description Design, build, and deploy scalable generative AI models for real-world applications. Lead research and development of advanced techniques in NLP, computer vision, and multimodal AI. Optimize large language models (LLMs) for performance and cost-efficiency. Collaborate with cross-functional teams to integrate AI models into products. 4-6 years of experience in machine learning, with a focus on generative models. Proven track record of building and deploying AI models in production. Experience leading projects and mentoring junior engineers. Nice-to-Haves Experience with RLHF (Reinforcement Learning from Human Feedback) for fine-tuning models. Familiarity with vector databases and retrieval-augmented generation (RAG) techniques. Experience in chat bots, voice agents, data science is must (ref:hirist.tech) Show more Show less
Scope This role will have special focus on promoting DevOps model to increase developer productivity through well well-orchestrated automated services in various stages of continuous integration and continuous delivery DevOps Engineer must have a very deep understanding of various development tools and technologies This is a hands hands-on technical role but with a high degree of collaboration and raise the maturity levels of the Continuous Delivery practices Own Continuous Delivery specifications, quality, release deployments and monitoring of production health Enable developers to ship high quality products and features with an end end-to -end mindset from conception to delivery and production support Strong hands across all cloud environments GCP, Azure and AWS HandsHands-on experience and high familiarity with Kubernetes Job Description Serve as key expert on DevOps practices Implement and support Continuous Integration and Deployment Pipelines. Schedule, implement, and automate security compliance patching and updates on Development and QA servers. Ensure continuous availability of various tools supporting SCM & Release Management including Source Control, Continuous Integration, & Change Management. Engage with cross cross-functional co co-located teams in design, development and implementation of enterprise scalable features related to enabling higher developer productivity, environment monitoring and self self-healing, and facilitate autonomous delivery teams. Support, troubleshoot and analyze code on all 3 layers of the stack related to infrastructure, middleware, and continuous int egration and delivery frameworks. Responsible for deploying code and other proactive maintenance activities to keep the services up and running Production Release Implementation plan and Install Support Developer Efficiency Tools (Focusing on Freeing up Development staff to focus on deliverables) Integrating Code Quality tools and Code Analysis tools into IDEs Implementing Automation to improve coding efficiency Integrations with each SCM Tools CI/CD Onboarding Mentor junior members in the team Work collaboratively across team boundaries to share common capabilities Must Have Startup Experience Kubernetes certified AWS/Azure certified Product company experience Good Academics (ref:hirist.tech)
Scope for DevOps Engineer- Senior ▪ This role will have special focus on promoting DevOps model to increase developer productivity through well well-orchestrated automated services in various stages of continuous integration and continuous delivery ▪ DevOps Engineer must have a very deep understanding of various development tools and technologies ▪ This is a hands hands-on technical role but with a high degree of collaboration and raise the maturity levels of the Continuous Delivery practices ▪ Own Continuous Delivery specifications, quality, release deployments and monitoring of production health ▪ Enable developers to ship high quality products and features with an end end-to -end mindset from conception to delivery and production support ▪ Strong hands across all cloud environments – GCP, Azure and AWS ▪ Hands-on experience and high familiarity with Kubernetes Job Description ▪ Serve as key expert on DevOps practices ▪ Implement and support Continuous Integration and Deployment Pipelines. ▪ Schedule, implement, and automate security compliance patching and updates on Development and QA servers. ▪ Ensure continuous availability of various tools supporting SCM & Release Management including Source Control, Continuous Integration, & Change Management. ▪ Engage with cross cross-functional co co-located teams in design, development and implementation of enterprise scalable features related to enabling higher developer productivity, environment monitoring and self self-healing, and facilitate autonomous delivery teams. ▪ Support, troubleshoot and analyze code on all 3 layers of the stack related to infrastructure, middle-ware, and continuous int integration and delivery frameworks. ▪ Responsible for deploying code and other proactive maintenance activities to keep the services up and running ▪ Production Release Implementation plan and Install Support ▪ Developer Efficiency Tools (Focusing on Freeing up Development staff to focus on deliverables) ▪ Integrating Code Quality tools and Code Analysis tools into IDE’s ▪ Implementing Automation to improve coding efficiency ▪ Integrations with each SCM Tools ▪ CI/CD On-boarding ▪ Mentor junior members in the team ▪ Work collaboratively across team boundaries to share common capabilities Budget : up to 15 LPA
Scope For DevOps Engineer This role will have special focus on promoting DevOps model to increase developer productivity through well well-orchestrated automated services in various stages of continuous integration and continuous delivery DevOps Engineer must have a very deep understanding of various development tools and technologies This is a hands hands-on technical role but with a high degree of collaboration and raise the maturity levels of the Continuous Delivery practices Own Continuous Delivery specifications, quality, release deployments and monitoring of production health Enable developers to ship high quality products and features with an end end-to -end mindset from conception to delivery and production support Strong hands across all cloud environments - GCP, Azure and AWS Hands-on experience and high familiarity with Kubernetes Job Description Serve as key expert on DevOps practices Implement and support Continuous Integration and Deployment Pipelines. Schedule, implement, and automate security compliance patching and updates on Development and QA servers. Ensure continuous availability of various tools supporting SCM & Release Management including Source Control, Continuous Integration, & Change Management. Engage with cross cross-functional co co-located teams in design, development and implementation of enterprise scalable features related to enabling higher developer productivity, environment monitoring and self self-healing, and facilitate autonomous delivery teams. Support, troubleshoot and analyze code on all 3 layers of the stack related to infrastructure, middle-ware, and continuous int integration and delivery frameworks. Responsible for deploying code and other proactive maintenance activities to keep the services up and running Production Release Implementation plan and Install Support Developer Efficiency Tools (Focusing on Freeing up Development staff to focus on deliverables) Integrating Code Quality tools and Code Analysis tools into IDE's Implementing Automation to improve coding efficiency Integrations with each SCM Tools CI/CD On-boarding Mentor junior members in the team Work collaboratively across team boundaries to share common capabilities (ref:hirist.tech)
Job Title: Tech Lead – AI Agents Location: Hyderabad or Remote Job Type: Full-time | AI-first Startup Environment Experience: 4+ years, 2+ years in AI agent development preferred We’re looking for a hands-on AI Tech Lead to join us in building our core AI agent stack. As the technical owner of our AI systems, you’ll lead a small and focused team of engineers to design, build, and deploy intelligent agents that deliver measurable business outcomes. You’ll play a foundational role in shaping both the product and the engineering culture. Responsibilities ● Architect and lead the development of LLM-powered autonomous agents and tool-using workflows ● Manage and mentor a lean team of ML and software engineers ● Own the AI infrastructure pipeline: from data ingestion and training to evaluation and deployment ● Integrate open-source LLMs, vector stores, orchestration frameworks (e.g. LangChain, CrewAI, Autogen), and retrieval mechanisms ● Collaborate cross-functionally with product and design to align tech with business value ● Continuously evaluate new models, frameworks, and tools to improve performance and scalability ● Establish coding, documentation, and MLOps best practices within the team Qualifications ● 4+ years of work experience in a technical field; at least 2 years building LLM-based applications or agents ● Proficient in Python, with strong knowledge of PyTorch, HuggingFace, LangChain, or similar frameworks ● Hands-on experience with autonomous agents, retrieval-augmented generation (RAG), and multi-agent orchestration ● Deep understanding of LLM internals, prompt engineering, and model fine-tuning ● Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker), and deployment pipelines ● Strong leadership skills with a bias for execution in fast-paced environments ● Startup mindset: proactive, resourceful, and outcome-driven Why Join Us ● Work at the cutting edge of AI with real enterprise impact. ● Shape foundational agentic AI solutions used across industries. ● High ownership, fast iterations, and room to experiment. ● Collaborate with a passionate team of AI builders and business innovators.
Job Title: Product Manager – AI Agents Location: Hyderabad or Remote Type: Full-time | AI-first Startup Environment Experience: 4+ years in product management, 2+ years in AI/ML products preferred As the Product Manager, you'll define and drive the roadmap for AI-native workflows, working closely with the AI Tech Lead and a high-caliber engineering team. Your goal: deliver modular, autonomous solutions that automate decision-making, reduce cost, and accelerate outcomes. Responsibilities ● Own product vision, roadmap, and execution for agentic AI products ● Deeply understand user needs across enterprise operations and translate them into agentic workflows. ● Define and prioritize product requirements, user stories, and success metrics. ● Collaborate daily with AI Tech Lead / Engineering Manager to shape features, model capabilities, data flows, and agentic behaviors. ● Work closely with internal SMEs, customers, and partners to validate and iterate fast. ● Ensure compliance, data security, and governance are baked into product features. ● Guide UI/UX for explainability, user control, and seamless human-AI handoffs. ● Manage cross-functional delivery (engineering, design, QA, marketing, sales enablement). ● Track market trends in AI agents, enterprise SaaS, and automation tools. Requirements ● Proven experience launching B2B or enterprise SaaS products ● Strong understanding of AI/ML, automation platforms, or intelligent agents. ● Experience working in agile product teams with engineers, designers, and data scientists. ● Analytical mindset with a data-driven approach to prioritization and decisions. ● Excellent communication, stakeholder management, and leadership skills. Why Join Us ● Work at the cutting edge of AI with real enterprise impact. ● Shape foundational agentic AI solutions used across industries. ● High ownership, fast iterations, and room to experiment. ● Collaborate with a passionate team of AI builders and business innovators.
Job Title : Product Manager AI Agents Location : Hyderabad or Remote Type : Full-time | AI-first Startup Environment Experience : 4+ years in product management, 2+ years in AI/ML products preferred As the Product Manager, you'll define and drive the roadmap for AI-native workflows, working closely with the AI Tech Lead and a high-caliber engineering team. Your goal : deliver modular, autonomous solutions that automate decision-making, reduce cost, and accelerate : Own product vision, roadmap, and execution for agentic AI products Deeply understand user needs across enterprise operations and translate them into agentic workflows. Define and prioritize product requirements, user stories, and success metrics. Collaborate daily with AI Tech Lead / Engineering Manager to shape features, model capabilities, data flows, and agentic behaviors. Work closely with internal SMEs, customers, and partners to validate and iterate fast. Ensure compliance, data security, and governance are baked into product features. Guide UI/UX for explainability, user control, and seamless human-AI handoffs. Manage cross-functional delivery (engineering, design, QA, marketing, sales enablement). Track market trends in AI agents, enterprise SaaS, and automation : Proven experience launching B2B or enterprise SaaS products Strong understanding of AI/ML, automation platforms, or intelligent agents. Experience working in agile product teams with engineers, designers, and data scientists. Analytical mindset with a data-driven approach to prioritization and decisions. Excellent communication, stakeholder management, and leadership Join Us : Work at the cutting edge of AI with real enterprise impact. Shape foundational agentic AI solutions used across industries. High ownership, fast iterations, and room to experiment. Collaborate with a passionate team of AI builders and business innovators. (ref:hirist.tech)
Job Description Job Title : Tech Lead AI Agents Location : Hyderabad or Remote Job Type : Full-time | AI-first Startup Environment Experience : 4+ years, 2+ years in AI agent development preferred Were looking for a hands-on AI Tech Lead to join us in building our core AI agent stack. As the technical owner of our AI systems, youll lead a small and focused team of engineers to design, build, and deploy intelligent agents that deliver measurable business outcomes. Youll play a foundational role in shaping both the product and the engineering culture. Responsibilities Architect and lead the development of LLM-powered autonomous agents and tool-using workflows Manage and mentor a lean team of ML and software engineers Own the AI infrastructure pipeline : from data ingestion and training to evaluation and deployment Integrate open-source LLMs, vector stores, orchestration frameworks (e.g. LangChain, CrewAI, Autogen), and retrieval mechanisms Collaborate cross-functionally with product and design to align tech with business value Continuously evaluate new models, frameworks, and tools to improve performance and scalability Establish coding, documentation, and MLOps best practices within the team Qualifications 4+ years of work experience in a technical field; at least 2 years building LLM-based applications or agents Proficient in Python, with strong knowledge of PyTorch, HuggingFace, LangChain, or similar frameworks Hands-on experience with autonomous agents, retrieval-augmented generation (RAG), and multi-agent orchestration Deep understanding of LLM internals, prompt engineering, and model fine-tuning Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker), and deployment pipelines Strong leadership skills with a bias for execution in fast-paced environments Startup mindset : proactive, resourceful, and outcome-driven Why Join Us Work at the cutting edge of AI with real enterprise impact. Shape foundational agentic AI solutions used across industries. High ownership, fast iterations, and room to experiment. Collaborate with a passionate team of AI builders and business innovators. (ref:hirist.tech)
Job description Scope for DevOps Engineer- Senior ▪ This role will have special focus on promoting DevOps model to increase developer productivity through well well-orchestrated automated services in various stages of continuous integration and continuous delivery ▪ DevOps Engineer must have a very deep understanding of various development tools and technologies ▪ This is a hands hands-on technical role but with a high degree of collaboration and raise the maturity levels of the Continuous Delivery practices ▪ Own Continuous Delivery specifications, quality, release deployments and monitoring of production health ▪ Enable developers to ship high quality products and features with an end end-to -end mindset from conception to delivery and production support ▪ Strong hands across all cloud environments – GCP, Azure and AWS ▪ Hands-on experience and high familiarity with Kubernetes Job Description ▪ Serve as key expert on DevOps practices ▪ Implement and support Continuous Integration and Deployment Pipelines. ▪ Schedule, implement, and automate security compliance patching and updates on Development and QA servers. ▪ Ensure continuous availability of various tools supporting SCM & Release Management including Source Control, Continuous Integration, & Change Management. ▪ Engage with cross cross-functional co co-located teams in design, development and implementation of enterprise scalable features related to enabling higher developer productivity, environment monitoring and self self-healing, and facilitate autonomous delivery teams. ▪ Support, troubleshoot and analyze code on all 3 layers of the stack related to infrastructure, middle-ware, and continuous int integration and delivery frameworks. ▪ Responsible for deploying code and other proactive maintenance activities to keep the services up and running ▪ Production Release Implementation plan and Install Support ▪ Developer Efficiency Tools (Focusing on Freeing up Development staff to focus on deliverables) ▪ Integrating Code Quality tools and Code Analysis tools into IDE’s ▪ Implementing Automation to improve coding efficiency ▪ Integrations with each SCM Tools ▪ CI/CD On-boarding ▪ Mentor junior members in the team ▪ Work collaboratively across team boundaries to share common capabilities
Role : DevOps Engineer- Senior This role will have special focus on promoting DevOps model to increase developer productivity through well well-orchestrated automated services in various stages of continuous integration and continuous delivery DevOps Engineer must have a very deep understanding of various development tools and technologies This is a hands hands-on technical role but with a high degree of collaboration and raise the maturity levels of the Continuous Delivery practices Own Continuous Delivery specifications, quality, release deployments and monitoring of production health Enable developers to ship high quality products and features with an end end-to -end mindset from conception to delivery and production support Strong hands across all cloud environments - GCP, Azure and AWS Hands-on experience and high familiarity with Kubernetes Requirement Serve as key expert on DevOps practices Implement and support Continuous Integration and Deployment Pipelines. Schedule, implement, and automate security compliance patching and updates on Development and QA servers. Ensure continuous availability of various tools supporting SCM & Release Management including Source Control, Continuous Integration, & Change Management. Engage with cross cross-functional co co-located teams in design, development and implementation of enterprise scalable features related to enabling higher developer productivity, environment monitoring and self self-healing, and facilitate autonomous delivery teams. Support, troubleshoot and analyze code on all 3 layers of the stack related to infrastructure, middle-ware, and continuous int integration and delivery frameworks. Responsible for deploying code and other proactive maintenance activities to keep the services up and running Production Release Implementation plan and Install Support Developer Efficiency Tools (Focusing on Freeing up Development staff to focus on deliverables) Integrating Code Quality tools and Code Analysis tools into IDE's Implementing Automation to improve coding efficiency Integrations with each SCM Tools CI/CD On-boarding Mentor junior members in the team Work collaboratively across team boundaries to share common capabilities (ref:hirist.tech)