Artificial Intelligence Engineer - REMOTE

MokshaaLLC; United States; Hybrid; USD 150,000 - 190,000; Full time

Job summary

MokshaaLLC seeks an experienced AI Engineer to design, develop, and deploy Generative AI and LLM-based solutions across diverse IT environments. You will work remotely or hybrid, collaborating with engineering, data, product, and architecture teams to deliver scalable AI applications.

The role requires hands-on expertise in Python, LangChain, RAG, AI agents, and cloud technologies, with a focus on security, MLOps, and governance.

Qualifications

• Bachelor's/Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
• 5+ years of software engineering experience, with 3+ years in AI/ML or Generative AI.
• Hands-ons experience with LangChain, LangGraph, RAG, Prompt Engineering, and AI Agents.
• Experience with AWS, preferably including Bedrock.
• Experience with Databricks and/or Snowflake.
• Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Milvus.
• Knowledge of REST APIs, Docker, Kubernetes, CI/CD, and MLOps.
• Strong communication, problem-solving, and collaboration skills.

Responsibilities

• Develop and deploy production-ready Generative AI and LLM applications.
• Build RAG pipelines, AI agents, and agentic workflows using LangChain, LangGraph, or similar frameworks.
• Integrate LLMs such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI.
• Work with Databricks, Snowflake, AWS, and vector databases.
• Develop REST APIs and scalable backend services for AI applications.
• Optimize AI solutions for accuracy, performance, scalability, and cost.
• Collaborate with engineering, data, product, and architecture teams.
• Follow best practices for security, MLOps, deployment, and data governance.

Skills

Python

AI/ML

Generative AI

LangChain

LangGraph

RAG

AI Agents

REST APIs

Docker

Kubernetes

CI/CD

MLOps

AWS Bedrock

Databricks

Snowflake

Vector databases

Education

Bachelor's degree

Master's degree

Tools

LangChain

LangGraph

Databricks

Snowflake

OpenAI

Anthropic

AWS Bedrock

Azure OpenAI

Job description

Employment Type: Full-Time / FTE

Work Environment: Remote / Hybrid, based on project requirements

We are looking for an experienced AI Engineer to design, develop, and deploy Generative AI and LLM-based solutions across multi-sector IT environments. The ideal candidate should have strong hands‑on experience with Python, RAG, AI agents, LLM frameworks, and cloud technologies.

Key Responsibilities

• Develop and deploy production-ready Generative AI and LLM applications.
• Build RAG pipelines, AI agents, and agentic workflows using LangChain, LangGraph, or similar frameworks.
• Integrate LLMs such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI.
• Work with Databricks, Snowflake, AWS, and vector databases.
• Develop REST APIs and scalable backend services for AI applications.
• Optimize AI solutions for accuracy, performance, scalability, and cost.
• Collaborate with engineering, data, product, and architecture teams.
• Follow best practices for security, MLOps, deployment, and data governance.

Required Qualifications

• Bachelor's/Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
• 5+ years of software engineering experience, with 3+ years in AI/ML or Generative AI.
• Hands‑on experience with LangChain, LangGraph, RAG, Prompt Engineering, and AI Agents.
• Experience with AWS, preferably including Bedrock.
• Experience with Databricks and/or Snowflake.
• Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Milvus.
• Knowledge of REST APIs, Docker, Kubernetes, CI/CD, and MLOps.
• Strong communication, problem‑solving, and collaboration skills.

Preferred

• Experience in Healthcare, Life Sciences, Financial Services, Insurance, Retail, or other enterprise environments.
• Experience with LLM evaluation, embeddings, fine‑tuning, and multi‑agent systems.
• Familiarity with healthcare standards such as HIPAA, FHIR, or HL7 is a plus.