Dot Net Fullstack Developer/Manager

Orcapod Consulting Services

Pune District

On-site

INR 3,000,000 - 5,500,000

Full time

14 days+
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Job summary

Orcapod Consulting Services in Pune, India seeks an experienced Senior AI/ML Engineer to develop and deploy end-to-end AI solutions spanning web apps and cloud services.

You will lead the design, prompt engineering, and integration of LLM-based systems, collaborating with architect teams to ensure performance and security.

The role requires 8+ years experience with .NET, React, and AI/ML, and familiarity with OpenAI, LangChain, and vector databases.

Qualifications

  • 8+ years development experience with web and AI/ML solutions.
  • 3+ years .NET web frameworks and React coding experience.
  • Experience with Generative AI & LLMs; tooling like OpenAI/Azure OpenAI; LangChain.
  • Strong Python data engineering skills (NumPy, Pandas).
  • Knowledge of vector DBs: FAISS, Pinecone, Chroma.

Responsibilities

  • Develop and deploy full stack ML, DL, and AI solutions.
  • Apply ensemble methods and RAG for advanced AI.
  • Design and optimize LLM-based systems like assistants and copilots.
  • Coordinate AI architecture patterns with architect team.
  • Lead prompt engineering, fine-tuning, embeddings, and retrieval systems.
  • Build agentic AI components (MCP servers, skills, agents).
  • Integrate AI in web apps using Node.js, React, and .NET.
  • Deploy and monitor in cloud environments with security and cost controls.
  • Own end-to-end AI-enabled cloud system design and deployment.
  • Evaluate trade-offs on accuracy, latency, scalability and cost.
  • Maintain scalable training/inference pipelines on cloud platforms.
  • Ensure reliability, security, observability, and compliance.

Skills

8+ years development experience
.NET web frameworks
React coding experience
AI/ML solutions development
OpenAI / Azure OpenAI / Anthropic / L2
LangChain
Lang Graph
Vector databases
FAISS
Pinecone
Chroma
Python
NumPy
Pandas
TypeScript
Node.js
React

Tools

LangChain
Lang Graph
FAISS
Pinecone
Chroma

Job description

Role & responsibilities
  • Develop and deploy full stack machine learning, deep learning, and generative AI solutions.
  • Apply advanced methods such as ensemble models, representation learning, transfer learning, and retrieval-augmented generation (RAG).
  • Design, build, and optimize LLM-based systems, including assistants, copilots, and automation workflows.
  • Understand and apply AI/ML architecture patterns, model selection strategies, and technical standards in coordination with architect/platform team.
  • Lead prompt engineering, fine-tuning strategies, embedding pipelines, and retrieval systems.
  • Build components of agentic ai solutions like MCP servers, skills, agents
  • Integrate the AI solutions in web applications using nodejs, Reactjs and .Net
  • Collaborate on deployment and monitoring of solutions in cloud environments with performance, security, and cost considerations
  • Should be able to own end-to-end design and implementation of AI enabled cloud systems from problem definition to production deployment.
  • Contribute to evaluation of trade-offs across model accuracy, latency, scalability, cost, and maintainability.
  • Contribute to architect and maintain scalable training and inference pipelines on cloud platforms.
  • Contribute to ensure AI enabled solutions meet enterprise-grade requirements for reliability, security, observability, and compliance.
Preferred candidate profile
  • 8+ years strong development experience with at least 3 years .Net web frameworks and React coding experience and about 3-4 years in AI/ML based solutions development.
  • Technical background: Must have worked as Developer for web and cloud applications and possess strong knowledge of Software Development Framework
  • Experience and expertise in Generative AI & LLM Systems with good knowledge of LLM tools like OpenAI / Azure OpenAI / Anthropic / open-source LLMs, Lang Chain and Lang Graph, Vector databases: FAISS, Pinecone, Chroma. Expert in python with data engineering libraries like NumPy, Pandas.
  • Good knowledge of typescript.

Thanks, Manju

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