AI Developer
Quick Summary
We are looking for a highly motivated and skilled Generative AI (GenAI) Developer 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.
Design, develop, and implement GenAI solutions using large language models (LLMs) to address specific business needs using Python.
We are looking for a highly motivated and skilled Generative AI (GenAI) Developer 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
~2 min read- →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.
- →Minimum 2 years of relevant Proven experience as an AI Developer.
- →Proficiency in Python
- →Good understanding multiple of 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).
What We Offer
~1 min readAccellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic
Location & Eligibility
About this job
- Posted
- 216 days ago
Listing Details
- Posted
- March 13, 2026
- First seen
- March 26, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 202
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- October 15, 2026
Signal breakdown
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