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Think People Solutions
Machine Learning Engineer II - Agentic AI/Generative AI
Think People Solutions
Mumbai•Hybrid•5-8 Yrs•2 hours ago
Job description
Hybrid
Overview
5-7 years software engineering experience with 1-2 years in Generative AI and Agentic AI technologies; expertise in custom connectors, API design, and cloud AI/ML platforms
Responsibilities
- As part of the team, you will be working as an Agentic Engineer to operationalize key strategic Agentic ecosystem capabilities
- Advanced Agentic Platform Enablement : Lead the technical enablement, integration, and continuous enhancement of advanced agentic AI platforms, ensuring they adhere to stringent performance, scalability, reliability, and security standards. This includes evaluating new agentic-first platforms, tools and frameworks.
- Custom Connector & Integration Development : Architect, design, develop, and implement robust custom connectors and integration solutions to seamlessly connect diverse data sources, enterprise applications, and external services with our agentic platforms.
- API Design, Testing & Integration : Drive the design, development, and rigorous testing of APIs, ensuring secure, reliable, and efficient integration with both internal and external systems to support agentic workflows.
- Agent Orchestration & Workflow Management : Develop, implement, and optimize sophisticated strategies for orchestrating complex agent workflows, managing inter-agent communication, and enhancing decision-making processes within the platform to achieve desired business outcomes.
- Monitoring, Observability & Reliability Engineering : Overall understanding to collaborate with other engineering teams to establish, implement and support comprehensive monitoring and observability capabilities for Agentic workflows
- Platform Optimization & Lifecycle Management : Conduct ongoing optimization, performance tuning, and lifecycle management of agentic platforms and their underlying capabilities, including bug fixes, security patches, and capacity planning.
- Expert-Level Troubleshooting & Support : Provide advanced technical support and expert-level troubleshooting for complex issues related to agentic platform functionality, integrations, and performance, performing root cause analysis and implementing preventative measures.
- Technical Documentation & Best Practices : Create and maintain comprehensive, high-quality technical documentation for platform architecture, custom connectors, API specifications, operational procedures, and best practices to ensure knowledge transfer and system maintainability.
- Security & Compliance : Ensure all platform development and integrations adhere to enterprise security policies, data privacy regulations, and compliance standards.
- Embrace learning mindset : Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetups
Qualifications
- Bachelor's or masters degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a closely related technical field.
- 5 to 7 years of progressive experience in software engineering, platform development, or a related technical field, with a strong focus on building scalable and resilient systems.
- Minimum of 1-2 years of hands-on, in-depth experience specifically with Generative AI (Gen AI) and Agentic AI technologies, platforms, and frameworks (e.g., LangChain, LlamaIndex, AutoGen, Glean, etc.).
- Proven track record of designing, developing, and deploying complex integrations and custom connectors for enterprise-level applications.
- Expert-level proficiency in at least one modern programming language (e.g., Python, Java, Go) with a strong emphasis on writing clean, efficient, and maintainable code.
- Deep understanding and extensive experience with API design principles, development, and rigorous testing (RESTful APIs, GraphQL, gRPC).
- Demonstrated expertise in building custom connectors and integrating diverse systems, including enterprise applications (e.g., Salesforce, SAP, ServiceNow) and various data sources.
- Good understanding/Working experience of agent orchestration frameworks, multi-agent systems, and techniques for managing complex agent interactions and decision flows.
- Extensive experience with major cloud platforms (Google Cloud Platform is preferred) and their AI/ML services (Vertex AI is preferred).
- Proficiency in establishing and utilizing monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog, Splunk) to ensure platform health and performance.
- Working knowledge of MCP connections, RAG, Vectors, Embeddings and Indexing, Knowledge graph and Oauth Flows.
- Exceptional problem-solving and analytical capabilities, with a keen eye for detail and a proactive approach to identifying and resolving complex technical challenges.
- Superior communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.
- Ability to thrive in a fast-paced, dynamic environment, working both independently and as a key contributor within cross-functional teams.
- Passion for learning new technologies and solving challenging problems.
- Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) is a plus
- Ability to collaborate cross functional teams and provide tech mentorship to other stakeholder
- Strong leadership potential with the ability to mentor junior engineers and drive best practices
Nice to have
- Background in building, maintaining, and supporting traditional ML pipelines in a GCP environment.
- Understanding of the Consumer-Packaged Goods (CPG) industry.
- Familiarity with AI/ML lifecycle stages and MLOps concepts.
- Strong understanding and practical experience with MLOps principles and practices, including CI/CD for AI/ML workflows, model versioning, and deployment strategies