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.
Job Title: Senior Software 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. Senior Software Engineers are hands‑on technical leaders who both build and mentor. You’ll spend a majority of your time designing and coding high‑impact features, while also guiding engineering best practices and helping the team make sound architectural decisions. Your work spans the full SDLC—from whiteboard sketches to production roll‑outs—and you’ll collaborate closely with product, design, security, and SRE to keep our systems fast, reliable, and secure. Key Responsibilities Design & Implement scalable services, APIs, and data pipelines that meet strict latency, reliability, and security targets. Own quality by writing comprehensive tests, conducting thorough code reviews, and driving automation in CI/CD. Lead technical discussions and design reviews, offering well‑reasoned trade‑offs and mentoring peers on patterns and anti‑patterns. Debug & optimize production issues across the stack, from network to kernel to application logic. Document & communicate architectural decisions and maintain clear technical roadmaps to align stakeholders. Minimum Qualifications 5+ years professional software‑development experience building and operating production systems. Proficiency in one or more modern languages ( Go, Java, Python, C++ , or similar) and strong CS fundamentals in algorithms, data structures, and concurrency. Demonstrated success shipping features end‑to‑end and improving existing systems’ performance, cost, and observability. BS in Computer Science, Engineering, or equivalent practical experience. Preferred Qualifications Experience leading project scopes that span multiple services or teams, including incident response and post‑mortem culture. Deep knowledge of cloud‑native architectures (Docker/Kubernetes, service meshes, event streaming) and large‑scale data stores (SQL/NoSQL). Familiarity with identity, auth N/auth Z, or other security‑sensitive domains. Contributions to open‑source projects or published technical blogs / talks. MS/PhD in a related field or equivalent experience. 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. How We Measure Success Technical Impact Measurable improvements in latency, availability, or cost efficiency of critical paths. Execution Features and fixes land on schedule with high quality and minimal rollback. Collaboration & Leadership Positive 360° feedback; peers adopt your patterns and RFCs. Mentorship Junior and mid‑level engineers progress noticeably under your guidance. Benefits & Compensation We offer a top-of-market compensation package, calibrated to your experience and competitive with leading tech firms. Equal Opportunity We celebrate diversity and are committed to building an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, nationality, genetics, disability, age, or veteran status. Sound like you? Attach your résumé and a short note describing a system you’ve architected, the toughest challenge you solved, and the impact it delivered.
Job Title: Staff Software 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 a Staff Software Engineer you’ll provide deep technical leadership on high‑impact, mission–critical projects that touch millions of users. You’ll set the architectural vision, drive end‑to‑end execution, and raise the engineering bar for reliability, scalability, and security. Our staff engineers act as multipliers—coaching teams, aligning cross‑functional stakeholders, and turning ambiguous problems into clear, executable roadmaps. Key Responsibilities Lead architecture & design of large‑scale, distributed systems, ensuring they meet performance, availability, and security goals. Influence and coach multiple engineering squads, fostering a culture of technical excellence, psychological safety, and continuous improvement. Own the full SDLC —design, code, test, deploy, monitor, and iterate—driving best‑in‑class engineering practices (CI/CD, automated testing, observability). Align stakeholders (Product, Design, Security, Reliability, Legal) on goals, trade‑offs, and timelines; regularly communicate progress and risks to executives. Mentor and grow talent , providing technical guidance, code reviews, and career sponsorship for senior and junior engineers alike. Minimum Qualifications 8+ years of professional software‑development experience, including 5+ years designing and launching production systems at scale. BS in Computer Science, Engineering, or equivalent practical experience. Expertise in at least one systems‑level programming language (e.g., Go, Java, C++, Rust, or Python ) and strong fundamentals in data structures, algorithms, and concurrency. Proven track record of leading projects across multiple teams and disciplines. Preferred Qualifications MS/PhD in CS or related field, or commensurate experience delivering complex platforms. Deep knowledge of cloud‑native architectures (Kubernetes, service meshes, event‑driven systems) and at‑scale data stores (SQL, NoSQL, streaming). Hands‑on experience with ML/AI infrastructure, security‑first design, and zero‑downtime migrations. History of driving org‑wide engineering excellence initiatives (coding standards, SLOs, incident response). 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. How We Measure Success Technical Impact : Your designs materially improve latency, reliability, cost efficiency, or developer velocity. Leadership & Influence : Teams outside your own adopt your patterns and best practices. Mentorship : Engineers you’ve coached grow into senior or staff roles themselves. Execution : High‑quality deliverables hit agreed timelines without compromising safety or user trust. Benefits & Compensation We offer a top-of-market compensation package, calibrated to your experience and competitive with leading tech firms. Equal Opportunity We are proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Ready to shape the future? Apply with your résumé and a brief note about a system you’ve architected end‑to‑end and the business impact it delivered.