Senior Associate Gen AI Engineer
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Monthly Salary:
Experience Required:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description: Gen AI Engineer
Location: Pune
Experience: 2 Years
Job Type: Full-Time
About Us
We are a dynamic technology services company delivering cutting-edge digital solutions to diverse global clientele. From real estate to healthcare we tackle complex business challenges by integrating the latest technologies. Our team is currently expanding its AI capabilities focusing on building intelligent agents RAG pipelines and scalable backend systems that solve real-world problems.
The Role
We are looking for a Senior GenAI Engineer with strong backend roots to join our engineering this role you will not just "wrap APIs"you will architect and build complex AI Agents and Retrieval-Augmented Generation (RAG) systems that interact with varied data sources.
As a services company we work on a wide array of projects. If you love Python live in FastAPI and have been experimenting with LangChain and LangGraph to build autonomous systems this role is for you.
Key Responsibilities
Backend Development: Design and develop high-performance asynchronous RESTful APIs using Python and FastAPI.
GenAI Engineering: Build and deploy production-grade RAG pipelines and AI Agents. You will be responsible for prompt engineering context management and reducing hallucinations.
Agentic Workflows: Use LangGraph to design stateful multi-step agent workflows that can reason plan and execute tasks (not just chat).
Integration: Integrate LLMs (OpenAI Anthropic Llama 3 etc.) with external tools databases and third-party APIs.
Data & Embeddings: Manage Vector Databases (Qdrant Pinecone Weaviate or pgvector) and optimize retrieval strategies for accuracy.
Deployment: Dockerize applications and assist in deploying AI microservices on cloud platforms (AWS/Azure/GCP).
Client Collaboration: Since we are a services company you will occasionally interact with clients to understand their requirements and demo the cool AI solutions youve built.
Fine-Tuning & Model Adaptation: Execute Supervised Fine-Tuning (SFT) on open-source models (Llama 3 Mistral Qwen) using LoRA and Q-LoRA adapters.
Must-Have Skills
Experience: 2 years of professional software engineering experience.
Core Language: Expert proficiency in Python. You know your way around asyncio Pydantic and type hinting.
Backend Frameworks: Strong experience with FastAPI (preferred) or Flask/Django.
Generative AI Stack:
Hands-on experience with LangChain framework.
Experience building agents using LangGraph (managing state cycles and human-in-the-loop workflows).
Deep understanding of RAG (Retrieval Augmented Generation) including chunking strategies and embedding models.
Databases: Experience with SQL (PostgreSQL) and at least one Vector Database (Qdrant Pinecone Milvus ChromaDB etc.).
Version Control: Proficient with Git.
Nice-to-Have
Experience in a client-facing role or consultancy environment.
Basic familiarity with frontend tech (React/).
Cloud certifications (AWS/Azure).
Domain Knowledge: Background in Mechanical Engineering or Architecture
Required Skills:
Pursuing or recently completed a degree in Computer Science Data Science AI or a related field. Strong understanding of machine learning concepts and neural networks. Experience or coursework in NLP (Natural Language Processing) and generative models. Familiarity with frameworks such as TensorFlow PyTorch or Hugging Face. Knowledge of Python and popular ML libraries (NumPy Pandas etc.). Strong problem-solving skills and enthusiasm for learning new technologies. Prior exposure to LLMs image generation models or text-to-image AI is a plus.
Required Education:
Background in Mechanical Engineering or Architecture
Company Industry
IT Services and IT Consulting
Key Skills
- Laboratory Experience
- Electrical Engineering
- GIS
- Raspberry Pi
- System Design
- C/C++
- CAD
- Matlab
- Mechanical Engineering
- Autocad
- Microsoft Project
- Catia
