Gen AI Developer/Specialist - Tamilnadu
Chennai Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Fa Ertb Saasfaprod1. Chennai.
Pay not stated AI Engineering salary
RoleAI Engineering
SeniorityMid-level
LocationChennai
PostedJun 3, 2024 · 2y ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch LLM-based solutions for chatbots, IVR systems and banking use cases
- Use transformer models and vector or graph databases to create AI systems and semantic search experiences
- Connect speech-to-text tools to chatbot and IVR interfaces
- Work with product, engineering and design teams to set goals, choose use cases and fit solutions into existing workflows
- Document your work and explore new Gen AI methods to improve future solutions
What you bring
- You have developed and deployed applications powered by large language models
- You understand transformer or neural network architectures and have used vector or graph databases for semantic search
- You have integrated speech-to-text tools into AI systems and can program in Python
- You have worked with embeddings, OpenAI API, open-source LLMs and Gen AI frameworks such as Langchain or Haystack
Who this fits
This role suits a mid-level developer who can build LLM applications and collaborate across product, engineering and design. The position is based in Chennai, India.
From the employer
We are seeking a talented and experienced Gen AI developer/specialist to join our growing team. You will play a key role in designing, developing, and implementing Gen AI solutions across various domains, including chatbots, IVR systems, and the banking sector.
Responsibilities:
- Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI API, Open Source LLMs (Llama2, Mistral, Mixtral), and frameworks like Langchain and Haystack.
- Leverage your expertise in Transformer/Neural Network models and Vector/Graph Databases (Pinecone, Milvus, Neo4j) to build robust and scalable AI systems.
- Integrate speech-to-text functionality using tools like Whisper/Google TTS to create user-friendly interfaces for chatbots and IVR systems.
- Craft effective semantic search experiences by employing advanced techniques like HyDE, MMR, and LLM reranking.
- Collaborate with cross-functional teams (product, engineering, design) to define project goals, identify use cases, and ensure seamless integration of Gen AI solutions into existing workflows.
- Stay up-to-date on the latest advancements in Gen AI research and actively explore new tools and techniques to enhance our capabilities.
- Document your work comprehensively to facilitate knowledge transfer and ensure project continuity.
Qualifications:
- Proven experience developing and deploying LLM-based applications.
- Solid understanding of Transformer/Neural Network architectures and their application in Gen AI.
- Hands-on experience with Vector/Graph Databases and their use in semantic search.
- Experience integrating speech-to-text tools into AI systems.
- Familiarity with OpenAI API, Open Source LLMs, and Gen AI frameworks like Langchain and Haystack.
- Experience creating embeddings using MPNET and Ada models.
- Proficiency in programming languages like Python (essential) and potentially others (e.g., Java, C++).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills to work effectively in a team environment.
- A passion for innovation and a desire to push the boundaries of what's possible with Gen AI.
Bonus Points:
- Experience in the chatbot, IVR, or banking domain.
- Experience building Agentic Workflows.