Tek Grove
Company:
https://www.linkedin.com/company/tek-grove
Industries: IT Services and IT Consulting and Software Development
Job details:
GenAI Engineer
Position: GenAI Engineer
Experience: 6+ Years
Location: PAN India
Work Mode: Hybrid
Employment Type: Full-Time
Job Summary
We are looking for an experienced GenAI Engineer with 6+ years of overall software/AI engineering experience and strong hands-on expertise in Generative AI, Large Language Models (LLMs), RAG, prompt engineering, and AI application development.
The ideal candidate should have strong programming skills in Python and practical experience building, deploying, and optimizing production-grade GenAI solutions using modern AI/ML frameworks and cloud platforms.
Key Responsibilities
- Design, develop, and deploy Generative AI and LLM-based applications.
- Build enterprise-grade Retrieval-Augmented Generation (RAG) solutions.
- Work with LLMs such as OpenAI GPT, Azure OpenAI, Gemini, Claude, Llama, or equivalent models.
- Develop effective prompt engineering strategies for different business use cases.
- Implement document ingestion, chunking, embedding generation, retrieval, reranking, and response generation pipelines.
- Work with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI Search.
- Develop AI agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
- Integrate LLMs with enterprise applications using REST APIs and microservices.
- Develop Python-based AI/ML services and applications.
- Implement model evaluation, hallucination detection, grounding, and response-quality measurement.
- Optimize LLM applications for performance, scalability, latency, and cost.
- Work on fine-tuning, model customization, or parameter-efficient techniques where required.
- Implement security, authentication, data privacy, and responsible AI practices.
- Deploy GenAI applications on cloud platforms such as Azure, AWS, or GCP.
- Collaborate with data scientists, ML engineers, software engineers, architects, and business stakeholders.
- Troubleshoot production issues and continuously improve AI solutions.
Mandatory Skills
SkillRequirement
Generative AI / LLM
Mandatory
Python
Mandatory – Strong
RAG
Mandatory
Prompt Engineering
Mandatory
LLM APIs
Mandatory
LangChain / LangGraph / Semantic Kernel
Mandatory – Any one or more
Vector Database
Mandatory
REST APIs / Microservices
Mandatory
Machine Learning / NLP
Mandatory
Cloud – Azure/AWS/GCP
Mandatory
Git / CI-CD
Good experience
Strong Technical Skills
LLM & Generative AI
- OpenAI / Azure OpenAI
- Google Gemini
- Anthropic Claude
- Meta Llama or equivalent open-source LLMs
- Prompt engineering
- Function calling / tool calling
- Structured outputs
- LLM evaluation
- Hallucination mitigation
- Guardrails
RAG & Knowledge Systems
- Document processing and ingestion
- Text chunking strategies
- Embeddings
- Semantic search
- Hybrid search
- Reranking
- Vector databases
- Retrieval optimization
- Metadata filtering
- Context management
AI Agent Development
- Agentic AI
- Tool/function calling
- Multi-agent workflows
- LangGraph
- LangChain
- Semantic Kernel
- Agent orchestration
- Memory management
Python & Application Development
- Python
- FastAPI / Flask
- REST APIs
- Microservices
- JSON
- Git
- Docker
Cloud & Deployment
Experience with one or more:
- Microsoft AzureAzure OpenAI
- Azure AI Search
- Azure AI Services
- Azure Functions
- Azure Kubernetes Service
- AWSAmazon Bedrock
- SageMaker
- Lambda
- OpenSearch
- GCPVertex AI
- Gemini
- BigQuery
- Cloud Run
Click on Apply to know more.
