Model jobs in Germany

Join our team as a Forward Deployed Engineer and thrive at the intersection of advanced AI engineering and real-world enterprise problem-solving. Your skills will translate complex multimodal agentic AI, LLMs, and machine-learning architectures into clear, compelling business value. In this role, you will enjoy working directly with customers to design AI systems that see, hear, read, reason, decide, and act. Join us at an exciting moment, wear many hats, and help us build something from the ground up!

This role is based in Singapore and covers customers and partners across Asia Pacific.

• Lead technical discovery with customers to understand their business challenges, data environment, infrastructure landscape, and operational workflows.
• Architect end-to-end multimodal agentic AI solutions involving:
  • LLMs, Vision models, Speech models
  • RAG pipelines
  • Realtime perception–decision–action loops
  • Agent frameworks, planning, tool‑use, and orchestration
  • Integration with enterprise APIs, databases, security systems, VMS, IoT, MDM, or existing apps
• Conduct PoCs, benchmarks, and A/B evaluations, producing clear documentation on metrics, model performance, constraints, and ROI.

• Work closely with customer data teams to gather, clean, and preprocess multimodal datasets (text, images, audio, video, sensor data).
• Build and optimize:
  • Custom LLM prompts & prompt‑chains
  • Fine‑tuned LLM/vision models
  • Domain‑specific embedding models
  • Custom scorers, loss functions, and evaluation metrics
• Advise customers on LLMOps best practices, including lifecycle management, scalable APIs, agent reliability, function‑calling strategies, and safety guardrails.

• Demonstrate how Reka’s multimodal models can:
  • Interpret CCTV, documents, screens, emails, speech, logs
  • Combine perception with reasoning + action
  • Integrate with enterprise tools to perform tasks autonomously
• Help customers understand advanced concepts such as:
  • Tool‑use and planning
  • Multi‑agent workflows
  • Knowledge grounding and retrieval
  • Chain‑of‑thought vs distilled reasoning
  • Observability and telemetry for AI agents

• Design and run workshops for audiences ranging from business leaders to data scientists.
• Train customers on:
  • AI fundamentals
  • Multimodal models
  • Deployment patterns (on‑prem, cloud, hybrid, air‑gapped)
  • Reka platform usage, APIs, SDKs, and agent creation
• Produce sample notebooks, reference architectures, code snippets, reusable templates, and best‑practice guidelines.

• Work with product, engineering, and research teams to influence the roadmap based on customer needs.
• Contribute internal prototypes, demos, agent frameworks, or tools that improve presales velocity.
• Assist in competitive analysis (vs OpenAI, Anthropic, Gemini, AWS, Mistral, local APAC AI vendors).

• 3–6+ years hands‑on experience in AI/ML engineering, presales, solution architecture, or applied ML roles.
• Strong proficiency in:
  • Python
  • ML frameworks (PyTorch/TensorFlow/JAX)
  • LLM frameworks (LangChain, LlamaIndex, DSPy, OpenAI/Anthropic/Mistral APIs)
  • Model serving (FastAPI, Triton, Ray, vLLM, Ollama, MLFlow)
• Solid grounding in:
  • Machine learning fundamentals
  • Vision models (object detection, action recognition, OCR, VLMs)
  • Speech‑to‑text/voice models
  • Multimodal fusion techniques
  • Distributed training & inference optimization

• Familiar with enterprise infrastructure:
  • Kubernetes, Docker, API gateways
  • Data lake / warehouse technologies
  • Cloud platforms (Azure, GCP, AWS)
  • On‑prem GPU servers (NVIDIA, HPE, Supermicro, Dell)
• Understanding of ML security, compliance & governance:
  • RBAC, audit logs, data residency
  • Pre/Post‑production model monitoring
  • Drift detection, bias, safety guardrails
  • Privacy‑preserving ML, PII redaction, access control

• Experience with:
  • RAG pipelines (vector DBs, embedding tuning, hybrid search)
  • Multi‑agent systems or agent tool‑use
  • Function calling, workflow orchestration
  • LLMOps / ModelOps best practices
• Knowledge of GenAI fine‑tuning techniques:
  • SFT, LoRA, QLoRA, DPO
  • Vision model tuning
  • Dataset curation & augmentation

• Exceptional communication, storytelling, and presentation skills.
• Ability to simplify complex technical concepts for business stakeholders.
• Strong consultative problem‑solving mindset and customer empathy.
• Comfortable leading executive presentations, technical workshops, and live demos.
• Strong cross‑functional communication and problem‑solving skills.
• The ability to build in a fast‑paced environment under some uncertainty.
• A kind and collaborative nature and work style.

Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote‑first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.

• An Elite Team: Collaborate with top‑tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting‑edge AI technology.
• Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
• Mission‑Driven Environment: Work alongside a collaborative, mission‑focused team dedicated to advancing AI for meaningful applications.
• Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
• Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well‑being.