Job Title: Technical Delivery Engineer Location: [Remote / Hybrid / India] (Must be able to work in European time zone) Employment Type: Full-time About Us: We’re a fast-growing AI + IT startup solving complex enterprise challenges for Fortune 1000 clients. Our platform combines advanced technology with seamless deployment to transform how businesses operate, scale, and respond. As we continue to grow, we’re looking for a Technical Delivery Engineer who thrives at the intersection of hands-on execution and strategic delivery to help bring our product to life across enterprise environments. Roles and Responsibilities: Own end-to-end technical delivery and deployment of our solution for enterprise customers Collaborate with cross-functional teams—product, engineering, customer success—to drive successful implementation Work directly with client IT teams to understand infrastructure, security, and integration needs Configure and deploy software in complex environments, ensuring successful rollout and performance Act as the technical point of contact during onboarding, pilots, and go-lives Document deployment processes, troubleshoot issues, and drive continuous improvement Support post-deployment monitoring and performance tuning Contribute to internal knowledge sharing and process standardization Must-Have Skills & Experience: Bring 5+ years of experience in technical delivery, deployment engineering, or solution implementation within large-scale, complex enterprise IT environments. Hands-on experience deploying SaaS, cloud, or hybrid solutions at scale Solid understanding of enterprise IT infrastructure—networks, APIs, security protocols, integrations Ability to translate business requirements into deployment workflows Strong troubleshooting and analytical skills Excellent communication skills—comfortable working directly with clients and internal stakeholders Prior experience with Fortune 1000 clients is a strong plus Be part of a purpose-driven team pioneering Agentic AI—building intelligent systems that take action, adapt in real time, and solve complex enterprise challenges with real-world impact Other Responsibilities: Provide technical support for enterprise accounts, assisting in client issue resolution and ensuring timely follow-through. Act as a bridge between clients and the product team by sharing structured technical feedback based on real-world interactions. Participate in hands-on product testing to ensure quality, reliability, and enterprise readiness.

Job Title - AI/Gen AI Full Stack Engineer Location : Bangalore, India (Preferred) / Remote Job Type : Full-Time About Futurepath AI Futurepath.ai is a leading AI platform startup growing at a fast pace, serving multiple Fortune 500 clients. Backed by prominent investors such as Village Global, we specialize in delivering cutting-edge AI solutions that empower businesses to tackle complex challenges and redefine possibilities. Join our innovative team and be a part of transforming industries with the power of AI and Generative AI technologies. Job Summary We are seeking a highly skilled and innovative AI/GenAI Engineer to join our team. In this critical role, you will focus on leveraging Large Language Models (LLMs) and Small Language Models (SLMs) to solve complex business challenges. Your expertise will drive the building of applications powered by these models, focusing on cost-efficiency, response quality, and latency for specific use cases. This role offers the opportunity to work at the forefront of AI technologies and contribute to the next phase of growth at Futurepath.ai. Responsibilities LLM and SLM Optimization : Design and develop scalable solutions using Large Language Models and Small Language Models for specific business use cases. Optimize LLM- and SLM-powered applications to balance cost, quality of response, and latency. Generative AI Full Stack Applications : Develop innovative applications leveraging generative AI techniques, including natural language generation, summarization, and content creation. Create tailored Small Language Models to address domain-specific challenges efficiently. Solve challenges related to ethical AI, bias mitigation, and explainability in generative AI solutions. Research and Development : Experiment with cutting-edge AI technologies and frameworks to enhance the functionality and efficiency of LLMs and SLMs. Stay updated on the latest advancements in generative AI and their practical applications. Contribute to the development of proprietary models and algorithms when necessary. Performance Monitoring and Continuous Improvement : Monitor and evaluate the performance of AI solutions, identifying areas for improvement. Implement iterative development cycles to refine and enhance the effectiveness of LLM and SLM applications. Requirements Education : Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields. Experience : 3+ years of experience in Full Stack Development. Proven track record of deploying and building LLM-based and SLM-based applications in production environments. Technical Skills : Expertise in working with popular LLMs (e.g., OpenAI GPT, Anthropic, LLaMA) and using SLMs for specific use cases. Strong proficiency in Python. Familiarity with APIs and cloud platforms (AWS, Azure, GCP) for LLM and SLM integration. Familiarity with frontend development using ReactJS Problem-Solving Skills : Deep understanding of trade-offs between cost, quality of response, and latency in AI-powered applications. Ability to troubleshoot and resolve challenges related to scalability, efficiency, and performance in AI systems.| Soft Skills : Strong communication skills to explain complex AI concepts to technical and non-technical stakeholders. Collaborative mindset with the ability to work in cross-functional teams. Proactive and self-motivated with a passion for pushing the limits of AI technologies. What We Offer Competitive salary and equity options. Opportunity to work on cutting-edge AI and Generative AI technologies, including LLMs and SLMs. Flexible work environment with remote options. Professional growth opportunities in a high-impact, investor-backed startup. Collaborative and innovative work culture. How to Apply If you are ready to lead the charge in building innovative AI and generative AI applications and optimizing LLM/SLM-powered solutions, send your resume and a portfolio of relevant work to aditi@futurepath.ai. Please include a cover letter detailing your experience and how you envision contributing to Futurepath.ai’s mission.

Job Title: Forward Deployed Engineer Location: [Remote – India] Employment Type: Full-time About Futurepath AI We’re a fast-growing AI + IT startup solving complex enterprise challenges for Fortune 1000 clients. Our platform combines advanced technology with seamless deployment to transform how businesses operate, scale, and respond. As we continue to grow, we’re looking for a Forward Deployment Engineer who thrives at the intersection of hands-on execution and strategic delivery to bring our product to life across dynamic enterprise environments. What You'll Do: - Lead end-to-end technical delivery and deployment of our solution for enterprise customers Collaborate with cross-functional teams—Product, Engineering, Customer Success—to drive successful implementations Engage directly with client IT teams to understand infrastructure, security, and integration needs Configure and deploy software across complex environments, ensuring rollout success and optimal performance Serve as the technical point of contact during onboarding, pilots, and go-lives Troubleshoot deployment issues and contribute to continuous improvement of processes and documentation Support post-deployment monitoring, performance tuning, and ongoing optimization Share knowledge internally to help standardize best practices across deployment efforts Must Have Skills & Experience: - 5+ years of experience in technical delivery, deployment engineering, or solution implementation in complex enterprise IT environments Hands-on experience deploying SaaS, cloud, or hybrid solutions at scale Solid understanding of enterprise IT infrastructure, including networks, APIs, security protocols, and system integrations Strong Python programming skills Proficiency with FastAPI or comparable frameworks (e.g., Flask, Django REST Framework) Skilled in working with relational databases, particularly PostgreSQL Experience deploying and operating applications in Kubernetes environments Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus Ability to translate business requirements into scalable deployment workflows Strong analytical and troubleshooting skills Excellent communication and collaboration abilities, including client-facing interactions Experience working with Fortune 1000 clients is a strong advantage Other Responsibilities: - Provide technical support to enterprise accounts, resolving client issues and ensuring timely follow-through. Act as a bridge between clients and the product team, sharing structured technical feedback from real-world deployments. Participate in hands-on product testing to validate quality, performance, and enterprise readiness Why Join Us: Be part of a purpose-driven team pioneering Agentic AI —building intelligent systems that take action, adapt in real time, and solve complex enterprise challenges with real-world impact. Please send your resume and a portfolio of relevant work to aditi@futurepath.ai.

Job Title: Technical Implementation Engineer Location: [Remote – India] Employment Type: Full-time About Us: We’re a fast-growing AI + IT startup solving complex enterprise challenges for Fortune 1000 clients. Our platform combines advanced technology with seamless deployment to transform how businesses operate, scale, and respond. As we continue to grow, we’re looking for a Technical Implementation Engineer who thrives at the intersection of hands-on execution and strategic delivery to bring our product to life across dynamic enterprise environments. What You'll Do: Lead end-to-end technical delivery and deployment of our solution for enterprise customers Collaborate with cross-functional teams—Product, Engineering, Customer Success—to drive successful implementations Engage directly with client IT teams to understand infrastructure, security, and integration needs Configure and deploy software across complex environments, ensuring rollout success and optimal performance Serve as the technical point of contact during onboarding, pilots, and go-lives Troubleshoot deployment issues and contribute to continuous improvement of processes and documentation Support post-deployment monitoring, performance tuning, and ongoing optimization Share knowledge internally to help standardize best practices across deployment efforts Must-Have Skills & Experience: 5+ years of experience in technical delivery, deployment engineering, or solution implementation in complex enterprise IT environments Hands-on experience deploying SaaS, cloud, or hybrid solutions at scale Solid understanding of enterprise IT infrastructure, including networks, APIs, security protocols, and system integrations Strong Python programming skills Proficiency with FastAPI or comparable frameworks (e.g., Flask, Django REST Framework) Skilled in working with relational databases, particularly PostgreSQL Experience deploying and operating applications in Kubernetes environments Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus Ability to translate business requirements into scalable deployment workflows Strong analytical and troubleshooting skills Excellent communication and collaboration abilities, including client-facing interactions Experience working with Fortune 1000 clients is a strong advantage Other Responsibilities: Provide technical support to enterprise accounts, resolving client issues and ensuring timely follow-through Act as a bridge between clients and the product team, sharing structured technical feedback from real-world deployments Participate in hands-on product testing to validate quality, performance, and enterprise readiness Why Join Us: Be part of a purpose-driven team pioneering Agentic AI —building intelligent systems that take action, adapt in real time, and solve complex enterprise challenges with real-world impact.