Senior Engineer

2 days ago

Bangalore, India Senzcraft Full time
Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. And Design Business Process For The Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies.

Please visit our website - for more details

Our AI Operations SaaS platform –

Senzcraft on linkedin -

Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

About the Role (Senior GenAI Engineer)

We are seeking a highly skilled Senior GenAI Engineer with 5+ years of experience in AI/ML and automation engineering to design, develop, and deploy production-ready Generative AI solutions. Build and deploy GenAI/LLM-powered applications, integrating frameworks such as CrewAI, LangChain, AutoGen, Semantic Kernel, or LlamaIndex.
Develop and maintain Model Context Protocol (MCP) interfaces and servers to enable interoperability across AI/simulation components.
Implement efficient Retrieval-Augmented Generation (RAG) pipelines, vector DB integration (Pinecone, FAISS, Chroma), and embedding strategies.
Apply prompt engineering, model fine-tuning, and optimization techniques to improve GenAI solutions.
Architect, build, and scale agent-based systems for enterprise use cases, ensuring performance, security, and maintainability.
Cloud & Deployment: Deploy AI/ML workloads on AWS, Azure, and GCP, leveraging services like DynamoDB, storage, compute, and container runtimes.
Leadership & Collaboration: Lead a team of engineers, providing technical guidance and ensuring alignment with business objectives while also contributing actively to coding and solution development.
Engage with both technical and non-technical stakeholders to align AI solutions with business goals.
Continuous Learning: Stay current with the latest in Generative AI, LLM research, orchestration frameworks, and MLOps/LLMOps practices.

Experience: 5+ years in AI/ML engineering, including at least 2+ years in GenAI/LLM applications.
Programming: Strong proficiency in Python (async, API integration); experience with Java, JavaScript/Node.js, React.js, and front-end technologies is a plus.
Hands-on experience with OpenAI, Anthropic, Mistral, or similar LLMs; Vector DBs & RAG: Expertise in embeddings and vector databases (Pinecone, FAISS, Chroma) and retrieval-based architectures.
Experience with MCP server implementation and building agent-based GenAI solutions.
Cloud Platforms: Practical experience deploying AI/ML systems on AWS, Azure, or GCP.
Knowledge of CI/CD, monitoring, and ML/LLM operationalization best practices.
Nice to Have: Database expertise (SQL, NoSQL, DynamoDB), containerization (Docker/Kubernetes), Infra-as-Code (Terraform), and experience with front-end integrations.

Strong collaboration across product, engineering, and business teams.
Continuous improvement in solution performance, reliability, and user adoption.

 

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