Senior Forward Deployed AI Engineer
Partner with enterprise clients to design, build, and deploy production-grade AI solutions. Develop LLM, RAG, agentic, API, and cloud-native systems while leading technical discovery and solution delivery.
Responsibilities
- Translate client business requirements into scalable AI-powered solutions.
- Design, develop, and deploy LLM-powered, RAG, agentic, and enterprise AI solutions.
- Build and maintain APIs, services, and integrations with client systems.
- Deploy and operate solutions using Docker, Kubernetes, and CI/CD pipelines.
- Optimize production systems for performance, reliability, scalability, and security.
- Lead technical discovery sessions, prototypes, and client solution demonstrations.
- Collaborate with clients, product teams, architects, and global engineering teams.
- Promote AI engineering best practices and develop reusable frameworks and solution patterns.
Requirements
- At least 3 years of experience in software engineering, backend development, solutions architecture, or technical architecture.
- Strong Python skills and experience with JavaScript or TypeScript.
- Experience building and deploying scalable applications and integrations.
- Experience developing APIs and working with HTTP/HTTPS, webhooks, gRPC, and data serialization formats.
- Experience with AWS, GCP, Azure, or other cloud-native technologies.
- Strong client-facing problem-solving, communication, and presentation skills.
- Professional English communication skills.
Nice to have
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- Experience delivering enterprise LLM solutions from discovery through production.
- Experience leading customer engagements, technical workshops, or solution architecture discussions.
- Familiarity with Claude Agent SDK, Google ADK, OpenAI Agents SDK, LangChain, or similar agent frameworks.
- Experience deploying AI solutions on platforms such as Agentforce, Wonderful, or Palantir.
- Ability to balance strategic thinking with hands-on implementation.