5.0 - 9.0 years

0 Lacs

karnataka

On-site

As an Engineering Lead at Bolo AI, a company dedicated to utilizing AI to optimize Energy processes, you will play a crucial role in expanding the engineering team and overseeing the delivery of cutting-edge products focused on Generative AI systems. Your responsibilities will encompass managing a talented group of applied scientists, MLOps engineers, and backend developers who are dedicated to developing high-performance platforms for LLM training, RAG, LLM agent orchestration, and enterprise deployments. Your primary objective will be to ensure that the team collaborates effectively to deliver top-tier products within set timelines and with exceptional quality standards. You will be instrumental in driving product excellence, facilitating the swift introduction of new features, functionalities, and AI-driven solutions for our valued customers. Moreover, you will be tasked with defining the technical roadmap, establishing operational frameworks, and upholding engineering standards. Reporting to the CTO and closely working with the CEO, you will engage with research and product teams to shape the company's trajectory and achieve tangible outcomes through state-of-the-art AI technologies. Key Responsibilities: - Architecting scalable and high-performance systems to support LLM pipelines, RAG infrastructure, and agentic workflows - Building, nurturing, and expanding a top-tier engineering team spanning platform engineering, ML infra, and backend systems - Overseeing the end-to-end delivery process of mission-critical AI products from conceptualization to deployment - Collaborating effectively with founders, research scientists, and product managers to align on technical strategies and business objectives - Establishing best practices in software development, MLOps, DevSecOps, and system design to ensure code quality and architectural integrity - Spearheading initiatives to enhance system performance, optimize LLM inference efficiency, and drive cost efficiencies across cloud environments - Engaging with enterprise clients and partners to comprehend requirements, solicit feedback, and facilitate solution delivery Qualifications: - Over 10 years of engineering experience with a minimum of 5 years in building and leading engineering teams, ideally in dynamic startup environments - Profound expertise in constructing production ML systems, encompassing model training, optimization, and large-scale deployment (LLM, RAG, agents, classification, etc.) - Strong background in backend and systems engineering with proficiency in Python and microservice architecture - Prior exposure to hybrid deployments (on-prem, VPC) and cloud-native infrastructure (AWS, GCP, Azure) - Demonstrated ability to scale engineering organizations, implement processes, and drive cross-functional collaborations - Passion for addressing real-world challenges using innovative ML and AI solutions - Educational background in Computer Science or related field (M.Tech/MS/PhD), with preference for candidates from esteemed institutions like IIT/NIT/BITS Desirable Skills: - Familiarity with CPU- and GPU-optimized ML inference frameworks such as BOLT, TorchScript, Triton, ONNX, or vLLM - Proficiency in LLM training methodologies (e.g., LoRA, QLoRA, RLHF, MoE), LLM Agents, multilingual NLP, or recommendation systems - Track record of publications in renowned ML/NLP conferences or patents in the AI/ML domain - Previous involvement in startup environments, particularly within the enterprise or SaaS sectors Join us at Bolo AI for: - Competitive Compensation: A competitive base salary - Ownership & Impact: Equity options to participate in our growth and success - Hybrid Work Environment: Flexibility to collaborate in-person and work remotely to ensure work-life balance - Growth & Opportunity: Engage in a pivotal stage where your contributions will shape our journey and unlock new opportunities - Culture of Respect & Collaboration: Join a team that values humility, respect, and teamwork, celebrating collective achievements.,

Posted 4 days ago

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Technical Lead (Delivery) Uplers

5.0 - 10.0 years

22 - 27 Lacs

Pune

Work from Office

Experience : 5+ years Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Must have Skills required: LLM agents, Ml models, MongoDB, PostgreSQL, Redis, Team management, Python, FastAPI, Generative AI Key Responsibilities Own project planning, sprint execution, and backlog prioritization across 45 product pods Lead daily standups, retrospectives, and sprint reviews for engineering+ AI teams Translate product and business requirements into structured technical tasks Review architecture plans and ensure systems are modular, scalable, and maintainable Collaborate with the Head of Engineering to validate system design decisions Troubleshoot project delays or bottlenecks and realign sprint workflows Maintain Jira/ClickUp/Notion boards with task breakdowns, dependencies, and blockers Interface with commercial and product leadership to align delivery timelines with client expectations Ensure code quality, documentation, and deployment discipline across pods Create visibility through weekly status reports, burn-down charts, and roadmap alignment Technical Skills & System Design Experience Strong foundation in system design and understanding of scalable backend architectures Familiarity with microservices, API-first architectures, and LLM/AI pipelines Experience with CI/CD, cloud deployment workflows (preferably AWS), and Dockerized environments Ability to review and guide architecture decisions made by backend and AI teams Experience managing teams working with: Python (FastAPI), React/Next.js, ML models, LLM agents, vector databases (Pinecone/FAISS), Redis, PostgreSQL, MongoDB Personal Attributes : Strong systems thinker with architectural intuition High accountabilityyou take ownership of outcomes, not just task tracking Proactive communicator with strong cross-functional coordination Skills Structured, process-driven, but adaptive when required Calm under pressure and solutions-oriented in dynamic environments Able to influence engineers and product teams through clarity and logicnot hierarchy Comfortable managing complexity across multiple teams and clients simultaneously Skills LLM agents, Ml models, MongoDB, PostgreSQL, Redis, Team management, Python, FastAPI, Generative AI

Posted 3 weeks ago

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