Generative AI Developer
- Aris Global Software
- 3 - 8 years
- Bengaluru
- 14 days ago
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Job Description
Job Title: Generative AI Developer
Job Description:
We are seeking a skilled Generative AI Developer with hands-on experience in Large Language Models (LLMs) , prompt engineering , and modern GenAI solution design. The ideal candidate should be comfortable working with Retrieval-Augmented Generation (RAG) , Agents frameworks, and AWS Bedrock , with a basic understanding of LLMOps practices. Additionally, proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable.
The role involves building scalable, real-world GenAI applications and continuously exploring advancements in the field of Generative AI.
Key Responsibilities:
- Develop and maintain GenAI solutions using LLMs, RAG pipelines, and agent-based workflows.
- Integrate LLMs into applications using APIs and cloud-based services like AWS Bedrock .
- Conduct experiments and research on the latest GenAI advancements and implement proof-of-concepts (PoCs).
- Contribute to LLMOps practices including prompt versioning, testing, and basic monitoring.
- Collaborate with architects, data engineers, and DevOps teams to build scalable GenAI solutions.
Technical Requirements:
- 6-8 years of total experience with at least 3+ years of hands-on experience in AI/ML or NLP.
- Hands-on experience working with LLMs (e.g., GPT, Claude, LLaMA, Mistral).
- Understanding of RAG workflows and experience with vector databases (e.g., FAISS, Pinecone, OpenSearch).
- Exposure to agent frameworks like Crewai, LangGraph, Semantic Kernel, or custom orchestrators.
- Familiarity with AWS Bedrock and prompt orchestration through tools like LangChain or PromptLayer.
- Knowledge of basic LLMOps practices such as prompt versioning, monitoring, and logging.
- Proven experience in prompt engineering designing few-shot examples, controlling hallucinations, and optimizing outputs.
- Proficient in Streamlit for building lightweight, interactive front-ends.
- Strong programming skills in Python and experience with REST APIs.
- Good in Deep Learning architectures: RNN, CNN, Transformer-based models
- Experience with NLP using open-source libraries (e.g., spaCy, Hugging Face, NLTK)
- Familiarity with data storage and search systems such as PostgreSQL , Elasticsearch , or similar.
Preferred Skills:
- Exposure to document processing pipelines and unstructured data extraction.
- Knowledge of MLOps and CI/CD tools (e.g., GitHub Actions, Docker).
- Prior experience integrating GenAI into real-world applications
Soft Skills:
- Strong analytical and problem-solving skills with the ability to break down complex challenges.
- Curiosity and initiative in researching new GenAI trends and applying them practically.
- Good communication and collaboration skills, especially in a cross-functional team environment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full timeContact Details:
Company: Aris Global SoftwareLocation(s): Bengaluru+ View Contact
Keyskills: Basic github Front end orchestration Postgresql Analytical Open source Monitoring Python Data extraction
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