Forward Deployed Engineer

3–6+ years hands-on experience in AI/ML engineering, presales, solution architecture, or applied ML roles. Strong proficiency in Python. Strong proficiency in ML frameworks (PyTorch/TensorFlow/JAX). Strong proficiency in LLM frameworks (LangChain, LlamaIndex, DSPy, OpenAI/Anthropic/Mistral APIs). Strong proficiency in model serving (FastAPI, Triton, Ray, vLLM, Ollama, MLFlow). Solid grounding in machine learning fundamentals. Solid grounding in vision models. Solid grounding in speech-to-text/voice models. Solid grounding in multimodal fusion techniques. Solid grounding in distributed training & inference optimization. Familiar with enterprise infrastructure: Kubernetes, Docker, API gateways. Familiar with data lake / warehouse technologies. Familiar with cloud platforms (Azure, GCP, AWS). Familiar with on-prem GPU servers (NVIDIA, HPE, Supermicro, Dell). Understanding of ML security, compliance & governance. Experience with RAG pipelines. Experience with multi-agent systems or agent tool-use. Experience with function calling, workflow orchestration. Knowledge of GenAI fine-tuning techniques (SFT, LoRA, QLoRA, DPO). 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. Ability to build in a fast-paced environment under some uncertainty. Kind and collaborative nature and work style.

Lead technical discovery with customers. Architect end-to-end multimodal agentic AI solutions. Conduct PoCs, benchmarks, and A/B evaluations. Gather, clean, and preprocess multimodal datasets. Build and optimize custom LLM prompts and fine-tuned models. Advise customers on LLMOps best practices. Demonstrate Reka's multimodal model capabilities. Design and run workshops for customers. Train customers on AI fundamentals and Reka platform usage. Produce sample notebooks and reference architectures. Work with product and engineering teams to influence the roadmap. Contribute internal prototypes and tools.