Senior Forward Deployed Applied Scientist I (Agentic AI)
DigitalOcean2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Design and implement multi-agent workflows, autonomous reasoning loops, and tool-augmented LLM architectures.
- Embed with customers and translate ambiguous business requirements into high-performance, deterministic AI and agentic workflows.
- Prototype agentic frameworks using LangGraph, AutoGen, or custom execution graphs and harden them for enterprise production.
- Develop reusable evaluation frameworks and safety guardrails covering precision, security, latency, and cost efficiency.
- Provide customer and field-deployment feedback to DigitalOcean’s AI/ML product teams to improve the platform.
- Collaborate with customers, product, engineering, and go-to-market teams.
Requirements
- At least 4 years of hands-on experience in applied AI, machine learning, or data science.
- Proven experience with multi-agent orchestration, tool use, function-calling pipelines, MCP, structured outputs, dynamic planning, and persistent memory models.
- Strong production Python and systems engineering skills, including Pydantic, FastAPI, Asyncio, and PyTorch.
- Experience with deep learning frameworks such as PyTorch or TensorFlow, distributed training tools, and agentic AI frameworks.
- Solid understanding of transformers and state space models.
- Preferred Ph.D. or master’s degree in computer science, machine learning, AI, or a related technical field.
- Preferred research experience, publications or patents, and knowledge of current LLM, VLM, and agentic framework research.
- Ability to translate complex business requirements into AI engineering solutions and communicate technical trade-offs to engineering and executive audiences.
- Experience collaborating with customers, model vendors, or ecosystem partners on benchmarking, optimization, fine-tuning, or launch readiness.
- Ability to travel up to 30% and consistently overlap with North American business hours.
Benefits
- Up to 30% travel for customer engagements, workshops, conferences, and collaboration.
- Hybrid role located in Bengaluru, India, with consistent overlap during North American business hours required.
- Conference, training, and education reimbursement.
- Access to LinkedIn Learning courses.
- Employee Assistance Program, local employee meetups, and flexible time off.
- Potential bonus and equity compensation, including eligible equity grants and Employee Stock Purchase Program participation.
About DigitalOcean
DigitalOcean provides cloud infrastructure and platform services for developers, startups, and small to mid-sized businesses, including virtual machines (Droplets), managed Kubernetes and databases, object/block storage, networking, and GPUs for AI workloads. It operates a usage-based, self-service public cloud with APIs, CLI, and a marketplace to deploy and scale applications. Founded in 2012 and headquartered in Broomfield, Colorado, DigitalOcean is a public company listed on the NYSE.