About Us :
We are looking for a client-focused Gen AI & Agentic AI Developer to join our Consulting practice. This role requires both technical expertise and consulting acumen to design, prototype, and deliver AI-powered solutions leveraging the latest in Generative AI and Agentic AI frameworks.
As part of our AI & Digital Innovation team, You will work with senior stakeholders to define Gen AI solutions and build POCs, MVPs, and full-scale implementations.
Key Responsibilities :
- Design and implement Gen AI solutions using LLMs (e.g., OpenAI, Anthropic, Mistral) for use cases like document summarization, intelligent search, knowledge agents, and chat assistants.
- Build Agentic AI systems using frameworks like CrewAI, LangGraph, AutoGen, enabling autonomous workflows, multi-agent collaboration, and task orchestration.
- Develop proofs-of-concept (POCs), MVPs, and production-ready applications for clients
- Integrate Gen AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Microsoft 365, using REST APIs and workflow tools.
- Conduct prompt engineering, RAG pipeline design, tool chaining, and memory integration for intelligent agents.
- Participate in client workshops, technical presentations, and solution demos.
Must Have :
Leetcode score and / or hacker rank score in python, SQLSkills & Qualifications :
4-5 years of experience in software development or AI engineering roles, with at least 2 years in Generative AI or NLP.Strong proficiency in Python and popular AI / ML frameworks such as TensorFlow, PyTorch, Keras, or similar.Strong programming skills in Python and experience with frameworks like LangChain, Hugging Face, LlamaIndex, or OpenAI SDKs.Hands-on experience with Agentic AI tools such as CrewAI, LangGraph, AutoGen, Semantic Kernal or similar.Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) design.Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN).Ability to preprocess and work with large datasets, including text, images, and structured data.Familiarity with cloud platforms like AWS, GCP, or Azure for deploying AI models.Experience with APIs, microservices, and integrating AI / ML models into production environments.Strong problem-solving skills and the ability to work in an agile environment.Excellent communication skills and a collaborative mindset.Education :
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.ref : hirist.tech)