Senior AI/GenAI Engineer
Senior AI/GenAI Engineer
technet it recruitment ltd4-10 Years
- Posted 22 hours ago
- Be among the first 10 applicants
Job Description
Senior GenAI Engineer – Contract - Remote.
Experience: 4–10 Years
Location: Remote – India
Engagement: Contract
Duration: 6+ months, with possibility of extension
About the Role
We are hiring for a global client a GenAI / AI Engineer to join with strong hands-on experience building and deploying production-grade Generative AI applications for enterprise environments.
Key Skills
- Strong Python development experience
- Hands-on experience with LLMs and Generative AI
- Strong experience with RAG and Prompt Engineering
- Experience building Agentic AI solutions
- Hands-on experience with LangChain / LangGraph
- Experience with Vector Databases and enterprise knowledge retrieval
- Experience with OpenAI / Azure OpenAI / AWS Bedrock or equivalent LLM platforms
- Experience deploying AI applications on AWS or Azure
- Strong knowledge of REST APIs, Git, and CI/CD
- Experience with MLOps / LLMOps, evaluation, monitoring, and observability
Responsibilities
- Design, develop, and deploy production-grade Generative AI applications.
- Build RAG pipelines using LLMs, vector databases, and enterprise data sources.
- Develop Agentic AI workflows using LangChain, LangGraph, or similar frameworks.
- Integrate LLMs with APIs, databases, enterprise applications, and external tools.
- Develop scalable Python services and APIs for AI applications.
- Implement prompt engineering, model evaluation, and response-quality optimisation.
- Deploy, monitor, and troubleshoot AI applications in cloud environments.
- Contribute to MLOps/LLMOps, CI/CD, observability, and production support.
- Collaborate with engineering, product, data, and business teams.
Required Stack: Python | LLMs | Generative AI | RAG | Prompt Engineering | Agentic AI | LangChain/LangGraph | Vector Databases | AWS/Azure | REST APIs
Apply if you have strong hands-on experience building and deploying production-grade GenAI applications.
We review candidate profiles regularly. Shortlisted candidates will be contacted for the next steps.
More Info
Key Skills
About Company
Skills:
Azure ML, MLops, Python, LangChain, AWS Bedrock, LLMOps, Anthropic, Azure OpenAI, LangGraph, Vector Databases, Agentic AI, Production AI application development, AWS SageMaker, RAG, OpenAI, Generative AI LLMs, LlamaIndex, Prompt Engineering
Skills:
Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models
Skills:
Enterprise integrations – Graph API Power Automate Salesforce etc., RAG pipelines and vector databases – FAISS Pinecone pgvector, Prompt engineering LLM evaluations HITL workflows, Python FastAPI async programming, Multi-agent architecture – tool use memory planning guardrails observability, Production-grade LLM solutions – OpenAI Anthropic Azure OpenAI, Secure credential management managed identity enterprise integration patterns, Azure AWS GCP cloud deployment, Agentic AI frameworks – LangGraph LangChain AutoGen CrewAI
Skills:
Testing, Kubernetes, Docker, Git, Information Retrieval, async programming, RAG pipelines, OpenAI, Crew.ai, NLP techniques, safety considerations, development frameworks, knowledge retrieval systems, embedding models, vector databases, RAG systems, LLM optimization techniques, LangChain, Anthropic, agent alignment, semantic search, Autogen, prompt engineering, Advanced Python programming
Skills:
MLops, Sql, Microservices, Tensorflow, Pytorch, Python, Nosql, Kubernetes, Docker, Big Data, Apis, Azure Cloud Platforms, GPT, Claude, Gemini, Embeddings, Agentic AI, Generative AI, Transformers