Sr. Agentic AI Engineer

Please note : This is an on site position in Kharadi, Pune.

Timings : 6 PM - 3 AM

Remote / Hybrid options are not available

Notice Period - Immediate joiners or those with a maximum notice period of 30 days are preferred.

We’re a fast-growing AI startup with a fast-paced, ambitious culture. Our team often works long hours (at times 12 hours a day, 6 days a week), similar to other high-growth tech companies. If you thrive in this kind of environment, we’d love to hear from you!

About Jeeva.AI

Jeeva AI is a superhuman Agentic AI that takes the grunt work out of sales, autonomously discovering and enriching high intent leads, crafting hyper personalized outreach, managing smart follow-ups, and handling objections so your reps focus on what they do best : closing deals.

Trusted by 500+ B2B companies to generate over $50 M in pipeline, Jeeva delivers a consistent 24 / 7 revenue engine and gives you 50 qualified prospects free during your demo.

As a dynamic startup we are backed by Alt Capital (founded by Jack Altman & Sam Altman), Marc Benioff (CEO Salesforce), Gokul (Board Coinbase), Bonfire (investors in ChowNow), Techstars (investors in Uber), Sapphire (investors in LinkedIn), Microsoft with $4.5M ARR in just 9 months after launch, we’re not just growing - we’re thriving and making a significant impact in the world of artificial intelligence.

Responsibilities & Expectations :

• Proven experience in developing AI agents, generative AI applications, or multi-agent systems.
• Expertise in Large Language Models (LLMs) such as GPT, T5, BERT, etc., and experience with transformer architectures.
• Hands-on experience with Retrieval-Augmented Generation (RAG) and Agentic RAG frameworks.
• Familiarity with agent-based frameworks (e.g., OpenAI Gym, LangChain, Rasa, Ray RLLib, etc.).
• Experience in reinforcement learning, supervised learning, and unsupervised learning to enhance agent capabilities.
• Proficiency in NLP techniques and frameworks (e.g., spaCy, Hugging Face Transformers).
• Strong coding skills in Python, with experience using libraries such as TensorFlow, PyTorch, and Hugging Face for AI model development.
• Experience with cloud platforms (AWS, GCP, Azure) for scalable deployment and containerization (e.g., Docker, Kubernetes).
• Ability to innovate and solve complex problems in real-world settings using generative models and intelligent agents.
• Strong communication skills and the ability to work in cross-functional teams, collaborating with data scientists, product managers, and other stakeholders.
• Ability to integrate external data sources, APIs, or databases into AI agent workflows for dynamic decision-making and knowledge retrieval.