Offer summary

Qualifications:

3–5 years of professional software development experience., At least 1 year of hands-on experience with large language models or generative AI., Proficiency in Python or TypeScript and familiarity with AI tooling., Experience delivering at least one production generative AI feature..

Key responsibilities:

Design and develop AI features using frameworks like LangChain or LlamaIndex.

Select and integrate various AI model endpoints and manage data flows.

Design retrieval layers and implement evaluation and monitoring pipelines.

Collaborate with cross-functional teams to create user-facing AI experiences.

Job description

Evertech is on the hunt for a skilled and passionate AI Engineer to join our dynamic team. As a Middle/Senior AI Engineer, you will be responsible for developing intelligent systems and algorithms that leverage machine learning and artificial intelligence to drive innovation in our product offerings. You will collaborate closely with cross-functional teams to design, implement, and refine AI models and solutions that solve complex problems and enhance user experiences.

About the Role

You will design, build, and productize features that harness large-language models (LLMs) and multimodal models for a leading financial services company in New York. Language choice isn’t a blocker—our stack today is mostly Python/TypeScript, but we care far more about your ability to reason about model capabilities, data flows, and user value.

Key Responsibilities

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

Requirements

3–5 years professional software development; 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.

Nice-to-Have

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

Benefits

Competitive USD-pegged compensation + stock/bonus.
Fully remote (or Tashkent HQ) 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.

Required profile