AI Engineers

Accellor

$120K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 2 years of experience as an AI Developer.
  • Proficient in Python programming language.
  • Familiar with various Generative AI models like OpenAI, LLAMA2, and Mistral.
  • Experience in setting up local GPTs using tools such as ollama or lm studio.
  • Knowledgeable about LLMs, RAG techniques, and vector databases like FAISS or Pinecone.
  • Able to use multi-agent frameworks to create workflows.
  • Experience with orchestration tools like Langchain or similar.

Responsibilities

  • Design and implement GenAI solutions with large language models using Python.
  • Collaborate with stakeholders to identify and integrate GenAI opportunities.
  • Preprocess and analyze unstructured data for model training and evaluation.
  • Apply prompt engineering and fine-tuning techniques to enhance LLM performance.
  • Deploy and ensure reliability of GenAI models and APIs in production.
  • Monitor and maintain deployed solutions based on usage feedback.
  • Stay current with advancements in GenAI and orchestration tools.

Benefits

  • Opportunity to work with cutting-edge AI technologies.
  • Collaborative work environment with cross-functional teams.
  • Focus on real-world application of AI solutions.
  • Access to continuous learning and professional development.
  • Participation in team-wide code reviews and best practices.
Full Job Description
We're looking to hire strong AI Engineers(multiple roles) with a passion for engineering to join our Product team to help us scale our platform and deliver cutting edge capabilities to our customers.

We are looking for a highly motivated and skilled Generative AI (GenAI) Developers to join our dynamic team. You will be responsible for building and deploying GenAI solutions using large language models (LLMs) to address real-world business challenges. The role involves working with cross-functional teams, applying prompt engineering and fine-tuning techniques, and building scalable AI-driven applications. A strong foundation in machine learning, NLP, and a passion for emerging GenAI technologies is essential.

Responsibilities
  • Design, develop, and implement GenAI solutions using large language models (LLMs) to address specific business needs using Python.
  • Collaborate with stakeholders to identify opportunities for GenAI integration and translate requirements into scalable solutions.
  • Preprocess and analyze unstructured data (text, documents, etc.) for model training, fine-tuning, and evaluation.
  • Apply prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques to optimize LLM outputs.
  • Deploy GenAI models and APIs into production environments, ensuring performance, scalability, and reliability.
  • Monitor and maintain deployed solutions, incorporating improvements based on feedback and real-world usage.
  • Stay up to date with the latest advancements in GenAI, LLMs, and orchestration tools (e.g., LangChain, LlamaIndex).
  • Write clean, maintainable, and well-documented code, and contribute to team-wide code reviews and best practices.

Requirements
  • Minimum 2 years of relevant Proven experience as an AI Developer.
  • Strong proficiency in Python
  • Good understanding multiple Gen AI models (OpenAI, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc.
  • Experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases (e.g., FAISS, Pinecone).
  • Multi agents frameworks to create workflows
  • Langchain or similar tools like lamaindex, langgraph etc.
  • Knowledge of Machine Learning frameworks, libraries, and tools.
  • Excellent problem-solving skills and solution mindset
  • Strong communication and teamwork skills.
  • Ability to work independently and manage ones time effectively.
  • Experience with any of cloud platforms (AWS, GCP, Azure).

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