GenAI Engineer
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
Key Responsibilities
- 5+ years of experience as a NLP and Python developer.
- Experience with Pandas, NumPy, Scikit, NLP a must have
- Key fundamentals in object-oriented design, data structures and systems.
- Ability to integrate multiple data sources into a single system.
- Familiarity with testing tools.
- Ability to collaborate on projects and work independently when required.
- Working knowledge of GitHub and Jira
- Ability to document requirements and specifications.
- Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.
- Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.
- Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation
- Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.
- Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.
- Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.
- Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.
- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
- 5+ years of experience in data science, building hands-on ML models.
- Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning
- Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation
- Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc
- SQL skills with SQL Server and Spark experience is preferred but not necessary.
- Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
- Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
- Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment
- Experience with cloud platforms such as Azure, AWS, Databricks is preferred
More Info
Key Skills
About Company
Skills:
Python, Aws, Azure, LangChain, GenAI
Skills:
Microservices, Distributed Systems, Python, HITL, LangChain, time-series modeling, AI agents, LLM evaluation, LangSmith, scalable AI infrastructure, AutoGen, cloud-native development, RAG, CrewAI, Embeddings, Tool calling, gRPC APIs, LLM orchestration, LangGraph, Prompt engineering
Skills:
Sql, Machine Learning, Groovy, Deep Learning, Tensorflow, Jenkins, Pytorch, Docker, FastAPI, Keras, Python, LangChain, Anthropic Claude, Meta Llama, scikit-learn, Pinecone, Azure OpenAI, LangGraph, Vector Databases, FAISS, OpenAI, Weaviate
Skills:
Django, React, FastAPI, Python, Azure, Orchestration, Gcp, multi-step reasoning, RAG pipelines, Svelte, LLM APIs, Vector databases, tool function calling, Agentic AI
Skills:
Sql, Gcp, Neo4j, Azure, Python, AWS, LangChain, LLMs, Cypher, LangGraph, Amazon Neptune, Knowledge Graphs