Strategic Artificial Intelligence Developer

Evertech is a dynamic and innovative company seeking a skilled and passionate Senior AI Engineer to join its team. The successful candidate will be responsible for developing intelligent systems and algorithms that leverage machine learning and artificial intelligence to drive innovation in product offerings.

The ideal candidate will design, build, and productize features that harness large-language models (LLMs) and multimodal models. They will work closely with cross-functional teams to design, implement, and refine AI models and solutions that solve complex problems and enhance user experiences.

• Prototype and ship RAG, agent, or generative-UX features using frameworks like LangChain or LlamaIndex.
• Select and integrate model endpoints (OpenAI GPT-4o, Anthropic Claude, Gemini 1.5, custom fine-tunes on Bedrock, etc.).
• Design retrieval layers—embedding generation, chunking strategies, and vector-DB schemas (Pinecone, Weaviate, Chroma, Milvus).
• Implement evaluation & monitoring pipelines with LangSmith, RAGAS, or comparable LLMOps tools to guardrail quality and cost.
• Automate deployments via containerized CI/CD on AWS/GCP/Kubernetes or TrueFoundry.
• Write clean, testable code; add tracing & logging around LLM calls.
• Optimize prompt chains for latency, token-use, and factuality.
• Collaborate with design & product to craft user-facing AI experiences (chat widgets, autocomplete, code-assist, etc.)
• Conduct ablation studies, A/B tests, and data-driven iterations

• 3–5 years professional software development experience; at least 1 year hands-on with LLMs or generative models.
• Proven delivery of at least one production Gen-AI feature (chatbot, summarizer, code-assist, content-gen, etc.).
• Deep familiarity with LangChain or LlamaIndex and at least one vector DB (Pinecone / Weaviate / Chroma / Milvus).
• Comfort orchestrating models on AWS Bedrock, Azure OpenAI, Vertex AI, or Hugging Face APIs.
• Solid skills in Python or TypeScript plus tooling (FastAPI/Express, pytest/jest, Docker).
• Experience securing and scaling cloud workloads (IaC, OAuth, VPCs).
• Track record of data-driven experimentation & prompt engineering.
• Excellent written & verbal English; able to explain complex AI behavior to non-experts.

• Fine-tuning/LoRA/QLoRA on open-weight models.
• Knowledge of multimodal models (image, audio).
• Familiarity with LLM security red-teaming and policy enforcement.
• Prior startup or dev-tool product experience

• Competitive compensation + stock/bonus.
• Fully remote with flexible hours.
• Annual learning budget for conferences, compute credits, and courses.
• Top-of-line hardware & generous open-source contributions policy.
• A no-bureaucracy culture where your Gen-AI ideas hit production in weeks, not quarters.