Forward Deployed AI Engineer (Frontend/Backend/Full Stack)

As a Full Stack Engineer at C4Scale, you will be responsible for building cutting-edge AI platforms to the next level, including pixel-perfect UIs, production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. **Key Responsibilities:** - Build core backend enhancements such as APIs, security (OAuth2/JWT, rate-limiting, SecretManager), and observability (structured logging, tracing). - Add CI/CD pipelines, implement test automation, configure health checks, and create SLO dashboards. - Develop UI interfaces using technologies like React.js/Next.js, Redux/Context, Tailwind, MUI, Custom-CSS, Shadcn, and Axios. - Design LLM and agentic services by creating micro/mini-services hosting and routing to OpenAI, Anthropic, local HF models, embeddings, and RAG pipelines. - Implement autonomous and recursive agents that orchestrate multi-step chains using tools, memory, and planning. - Spin up GPU/CPU inference servers behind an API gateway for model-inference infrastructure. - Optimize throughput with techniques like batching, streaming, quantization, and caching using Redis/pgvector. - Own the NLP stack by leveraging transformers for classification, extraction, and embedding generation. - Build data pipelines that integrate aggregated business metrics with model telemetry for analytics. - Mentor juniors to support learning and professional development. **Tech You'll Touch:** - Fullstack/Backend, Infra: Python (or NodeJs), FastAPI, Starlette, Pydantic. - Async SQLAlchemy, Postgres, Alembic, pgvector. - Docker, Kubernetes or ECS/Fargate - AWS (Or) GCP. - Redis/RabbitMQ/Celery (jobs & caching). - Prometheus, Grafana, OpenTelemetry. - AI/NLP: HuggingFace Transformers, LangChain / Llama-Index, Torch / TensorRT. - OpenAI, Anthropic, Azure OpenAI, Cohere APIs. - Vector search (Pinecone, Qdrant, PGVector). - Tooling: Pytest, GitHub Actions, and Terraform/CDK preferred. **Why does this role matter ** We are growing with diverse projects & products, offering different challenges. This role will provide opportunities for learning & contribution in parallel to ensure mutual success. If you are an engineer seeking a challenging role to propel your career forward, this is the right opportunity for you. You will work in the Founder's office, replicate the founder's vision, and grow organically while leading all future AI service development. In the hiring process, you can expect a short call, assignment, live coding/system design session of 1.5 hours, team fit interview lasting 30 minutes, and finally an offer. (Note: The additional details about the company have been omitted as they were not relevant to the job description.),