Essentient is hiring a Junior AI Developer to build and deploy GenAI applications using LLMs. The role involves developing Agentic AI systems, fine-tuning AI models, and designing AI microservices.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Essentient is an AI-focused product company building cutting-edge SaaS solutions in-house and for our corporate clients. We're developing next-generation AI products that solve real business problems through intelligent automation and advanced analytics.
No. of open positions: 2
Role Description
This is a full-time, on-site role (remote opportunity) for a Junior AI Developer. Preference for candidates located in Mumbai/Navi Mumbai.
What You'll Work On
- Build and deploy GenAI applications using LLMs (GPT-4, Claude, Vertex AI)
- Develop Agentic AI systems with autonomous decision-making capabilities
- Fine-tune and optimize AI models for production use cases
- Design and build AI microservices that integrate with product backends
- Work with RAG (Retrieval Augmented Generation) architectures
- Implement prompt engineering and chain-of-thought reasoning
- Build AI agents using LangChain, LangGraph, or similar frameworks
- Create RESTful APIs for AI functionality integration
Qualifications
- At least 0.5-1 years of hands-on experience with AI/ML projects
- Strong understanding of LLM fundamentals, transformer architectures, and attention mechanisms
- Experience with model fine-tuning and optimization techniques
- Practical knowledge of prompt engineering and AI orchestration
- Familiarity with Python, PyTorch/TensorFlow, and Hugging Face
- Understanding of vector databases, embeddings, and semantic search
- Experience with OpenAI API, Anthropic API, or similar LLM APIs
- Knowledge of AI agent frameworks and multi-agent systems
- Ability to build microservices and APIs (FastAPI/Flask)
- Understanding of backend integration patterns
- Foundational knowledge in Computer Science and Software Development principles
- Strong problem-solving, analytical, and collaboration skills
- Knowledge of programming languages such as Python
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
Bonus Points
- Knowledge of AI security, guardrails, and safety measures
- Exposure to AWS/Azure AI services and Vertex AI
- Understanding of LLMOps and AI deployment pipelines
- Experience with Docker and containerization
- Portfolio of AI projects or GitHub contributions
Tech Stack Python | LangChain | OpenAI/Anthropic/Vertex AI APIs | Vector DBs | FastAPI | Microservices | Azure
What You'll Get
- Work on production AI products with real users
- Exposure to diverse AI use cases across industries
- Hands-on experience with latest GenAI and Agentic AI technologies
- Direct mentorship from experienced AI architects
- Flexible work environment - Work remotely from anywhere
Apply: Send your resume with portfolio/GitHub to contact@essentient.co / abhijeet@ayvik.ai
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