8.0 - 12.0 years

0 Lacs

chandigarh

On-site

You are an experienced Mulesoft Developer (Platform and System Engineer) with over 8 years of experience in designing and implementing Mulesoft solutions. Your expertise includes a strong knowledge of Mulesoft Anypoint Platform, API-led connectivity, API Gateway, and Runtime Fabric. You have hands-on experience in microservices architecture, API development, enterprise integration patterns (EIP), and message queues such as Kafka and RabbitMQ. In your role, you have demonstrated proficiency in working with Mulesoft CloudHub, On-Prem, Hybrid deployments, troubleshooting issues, and optimizing performance. Your technical skills include knowledge of RAML, REST, SOAP, JSON, XML, DataWeave, Java, Spring Boot, and familiarity with DevOps tools like Jenkins, GitHub, and CI/CD pipelines. Additionally, you have experience working with cloud platforms such as AWS, Azure, GCP, as well as containerization technologies like Docker and Kubernetes. You have mandatory experience in healthcare integrations, specifically with HL7, FHIR, and HIPAA compliance requirements. Your expertise extends to knowledge of OAuth, JWT, SAML, API security policies, and best practices in ensuring secure integrations. Collaborating with architects, analysts, and stakeholders, you provide mentorship to junior developers, ensuring code quality and comprehensive documentation. Holding Mulesoft Certifications (MCD, MCPA, MCIA) is preferred for this role. Your experience in Agile methodologies, DevOps practices, and API Governance is considered a strong asset for this position.,

Posted 4 days ago

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Engineering Team Lead India Bolo AI

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 1 month ago

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