Human Resources Manager - India Location: Bengaluru, India Reports to: India Head Company : Growthsphereai About the Role This is a foundational and strategic role for a highly motivated and skilled HR professional. As the first HR Manager for our India office, you will be responsible for building and scaling the entire HR function from the ground up for our 21-person team of developers, finance analysts, designers, and program/product managers. You will be a key partner to the India Head and global leadership, ensuring that our people strategy aligns with our business goals and that we create a positive, engaging, and compliant workplace. Key Roles & Responsibilities Strategic HR and People Operations: Develop and implement HR strategies and initiatives that are aligned with the overall business strategy. Serve as the single point of contact for all HR-related matters for the India office and act as a bridge between management and employees. Develop and maintain a robust company handbook and HR policies that are compliant with local Indian labor laws and company culture. Talent Acquisition & Onboarding: Manage the entire end-to-end recruitment process for the India team, from creating compelling job descriptions and sourcing talent to conducting interviews and making hiring decisions. Design and execute a world-class onboarding process to ensure new hires are effectively integrated. Employee Relations & Engagement: Foster a positive work environment and address employee grievances and concerns with empathy and discretion. Develop and lead employee engagement initiatives, team-building activities, and internal communications to strengthen company culture and morale. Serve as a trusted advisor to managers and employees on matters of performance, career growth, and conflict resolution. Performance Management: Oversee and manage the performance appraisal system, providing guidance to managers and employees on goal setting, feedback, and performance improvement plans. Compliance & Administration: Ensure full compliance with all Indian labor laws, statutory requirements, and company policies, acting as the primary point of contact for any legal or compliance-related matters. Manage all administrative HR functions, including payroll coordination, employee data management, and record-keeping. Maintain an HR Information System (HRIS) to ensure all employee data is accurate, secure, and easily accessible. Requirements Experience: 5+ years of progressive HR experience, with a minimum of 2 years in a solo or lead HR role in a small-to-mid-sized company or startup. Experience in the technology sector is highly preferred. Education: A Bachelor's/MBA degree in Human Resources, Business Administration, or a related field. Skills: In-depth knowledge of Indian labor laws, statutory compliances, and HR best practices. Exceptional communication, interpersonal, and negotiation skills. Proven ability to handle sensitive and confidential information with the utmost discretion. Strong problem-solving and conflict-resolution skills. Proficiency in HR software and MS Office Suite. Proven ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
Job Description: AI Engineer Position: AI Engineer Experience: 3-5 years Location: Bangalore, India Company: GrowthsphereAI About Us: GrowthsphereAI is at the forefront of AI innovation, building intelligent, agentic systems that leverage the latest advancements in large language models (LLMs), retrieval, automation, and orchestration. We work extensively with modern AI ecosystems to deliver real-world solutions that transform operations, accelerate decision-making, and empower businesses. Join our dynamic team and contribute to shaping the future of AI. Job Summary: We are seeking an experienced AI Engineer with hands-on expertise in building LLM-powered applications and agentic workflows using models such as GPT, Claude, Llama, and other frontier models. The ideal candidate will have experience fine-tuning LLMs, using LangChain/LangGraph for multi-step agents , implementing function-calling , developing robust Python applications, and building scalable systems on GCP . Experience in RAG architectures , data science, and production-grade AI systems is essential. Key Responsibilities: Develop and Deploy AI Applications: Design, develop, and deploy AI-driven applications utilizing large language models like GPT, Llama, and Claude. Implement and optimize algorithms for natural language processing (NLP) tasks and other AI-related functionalities. Create autonomous and semi-autonomous agents capable of planning, tool-use, and multi-step decision flows. Utilize LangChain/LangGraph: Integrate LangChain and LangGraph to build robust agent workflows, tool orchestration, and memory-backed systems. Implement advanced capabilities like routing, evaluation loops, and agent monitoring. Function Calling and API Integration: Develop and maintain function-calling mechanisms for seamless integration with other services and applications. Create and manage APIs to facilitate communication between AI models and external systems. Python Development: Write clean, efficient, and scalable code in Python for AI and machine learning applications. Use modern Python libraries (Pydantic, async frameworks, orchestration tools) to build reliable systems. GCP Cloud Services: Deploy and manage AI and machine learning applications on Google Cloud Platform (GCP) infrastructure. Utilize GCP services such as Compute Engine, Cloud Storage, Cloud Functions, and Vertex AI for model training, deployment, and storage. Data Science and Machine Learning: Apply core ML and data science methods to improve model performance and system reliability. Build and maintain large-scale scraping and ingestion pipelines using Playwright, BeautifulSoup, etc. Retrieval-Augmented Generation (RAG) Systems: Architect, optimize, and maintain RAG pipelines combining vector stores, embeddings, and hybrid search. Improve retrieval quality, latency, filtering, and contextual relevance. Agentic Systems: Build multi-tool, multi-step agent workflows capable of autonomous reasoning, planning, and execution. Improve agent reliability through evaluation, guardrails, and structured output enforcement. Collaboration and Communication: Collaborate with cross-functional teams to understand requirements and deliver AI solutions. Communicate technical concepts and project progress to stakeholders effectively. Qualifications: Bachelor’s/Master’s degree in CS, Engineering, Data Science, or related fields. 3–5 years of experience in AI/ML, with strong exposure to LLMs and agent frameworks . Strong Python skills; experience with LangChain, LangGraph, Pydantic, and async tooling. Hands-on GCP experience, including deploying production AI workloads. Understanding of ML fundamentals, embeddings, vector databases, and retrieval systems. Experience with function calling, API integrations, and RAG pipelines. Strong problem-solving skills and attention to detail. Ability to work independently and in collaborative environments. Preferred Skills: Familiarity with multi-modal models and fine-tuning methods (LoRA, adapters). Knowledge of MLOps and model monitoring practices. Experience with containerization (Docker, Kubernetes). Strong documentation, experimentation, and evaluation skills. Experience with scraping frameworks like Playwright. If you are a dynamic and experienced AI Engineer looking to make a significant impact in the investment technology industry, we would love to hear from you!