Manager Senior AI/ML Engineer

About the role

Riveron is seeking a Manager - Senior AI/ML Engineer to design, build, and operate production-grade AI and Generative AI solutions. Based in Pune, India, this fully remote role involves hands-on technical leadership across solution architecture, data and model pipelines, agentic systems, evaluation, cloud deployment, and observability. You will own AI/ML and GenAI solutions end to end, partner with stakeholders, and mentor engineers for complex enterprise use cases.

What you’ll do

• Own AI/ML and GenAI solutions end to end — data pipelines, model and prompt workflows, APIs, evaluation, deployment, observability, and continuous optimization.
• Design enterprise RAG platforms: secure ingestion, chunking, embeddings, hybrid/vector search, reranking, citations, and access-aware retrieval.
• Build production agentic systems using tool/function calling, structured outputs, planning and memory, multi-agent orchestration, human-in-the-loop approvals, failure recovery, and auditable traces.
• Architect and operate MCP clients and servers that expose enterprise tools, resources, and prompts — with secure transports (stdio, Streamable HTTP), authentication, least-privilege access, tenant iso
• Integrate agents with enterprise systems (document repositories, source control, ticketing, databases, ERP/CRM, cloud services) through reusable connectors and governance patterns.
• Define evaluation strategies and quality gates for accuracy, groundedness, safety, latency, and cost, and establish end-to-end observability for agent and MCP activity.
• Build production services in Python with strong engineering practices, GitHub-based CI/CD, and cloud-native deployment on AWS or Azure using Docker, Kubernetes, and infrastructure as code.
• Partner with product, architecture, data science, security, and business stakeholders; lead design and architecture reviews and mentor engineers.

What you’ll bring

• Bachelor's or Master's in Computer Science, Data Science, AI/ML, Engineering, or a related field — or equivalent practical experience.
• 5–9 years developing production software, data, ML, or AI solutions, including hands-on delivery of GenAI/LLM applications.
• Advanced Python and practical experience with data/ML libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or equivalent).
• Strong grasp of LLM and agentic architecture: prompting, context engineering, embeddings, RAG, tool/function calling, structured outputs, orchestration, evaluation, and human-in-the-loop controls.
• Proven experience designing APIs, distributed services, and event-driven or asynchronous workflows with secure tool execution for AI agents.
• Hands-on experience with Git/GitHub and CI/CD, including automated build, test, security-scan, and deployment workflows.
• Strong experience with AWS or Azure and containerized deployment using Docker; Kubernetes and infrastructure-as-code experience expected.
• A current, role-relevant AWS AI/ML certification or Microsoft Azure AI certification is mandatory.

Nice to have

• GenAI or agent frameworks such as OpenAI Agents SDK, LangGraph/LangChain, Semantic Kernel, AutoGen, LlamaIndex, Amazon Bedrock Agents, or Azure AI Foundry Agent Service.
• Enterprise search and vector technologies (pgvector, Pinecone, Weaviate, Milvus, Elasticsearch/OpenSearch, Azure AI Search, Amazon OpenSearch, or equivalent).
• LLMOps/observability platforms (MLflow or comparable) for tracing, evaluation, prompt management, and governance.
• Strong SQL and data modeling; experience with streaming, workflow orchestration, data lakes, or lakehouse platforms.
• Leading AI solutions in enterprise domains such as finance, accounting, operations, document intelligence, analytics, or compliance.
• Responsible AI, model risk management, data governance, privacy, and regulatory/client-compliance familiarity.
• Mentoring engineers, defining technical standards, and contributing to reusable platforms or open-source work.

Skills

Benefits

Full-time roles are eligible for a full range of benefits including medical, dental, and vision insurance, 401(k) with company match, and PTO.

Education

Bachelor's or Master's in Computer Science, Data Science, AI/ML, Engineering, or a related field — or equivalent practical experience.