Artificial Intelligence Engineer

Orcapod Consulting Services

Pune District

In loco

INR 3.000.000 - 5.400.000

Tempo pieno

8 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Orcapod Consulting Services in Pune, Maharashtra, invites an experienced AI/ML full-stack engineer to develop and deploy generative AI solutions. You will work across full stack, from design to production, applying advanced AI methods and LLM systems, and collaborating with cloud deployment and security teams.

The role requires strong .NET and React experience, Python expertise, and leadership to mentor peers in cross-functional teams.

Competenze

  • 8+ years of development experience with at least 3 years in .NET web frameworks and React, and 3-4 years in AI/ML solutions development.
  • Technical background: developer for web and cloud apps with strong software development framework knowledge.
  • Experience and expertise in Generative AI & LLM systems with OpenAI / Azure OpenAI / Anthropic / open-source LLMs, LangChain and Lang Graph; vector databases FAISS, Pinecone, Chroma; expert in Python with NumPy, Pandas.
  • Good knowledge of TypeScript.
  • Excellent problem solving and analytical skills.
  • Communication and teamwork: strong verbal and written communication; ability to learn quickly and work both independently and in a team.
  • Self-motivated, detail-oriented and organized.
  • Ability to analyze internal business processes and choose pragmatic approaches.
  • Works well independently and collaborates across cross-functional teams.
  • Mentoring team members.

Mansioni

  • Develop and deploy full stack ML, DL, and generative AI solutions.
  • Apply ensemble methods, 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 and model selection with architect/platform teams.
  • Lead prompt engineering, fine-tuning, embedding pipelines, and retrieval systems.
  • Build components of agentic AI solutions like MCP servers, skills, agents.
  • Integrate AI solutions in web applications using Node.js, React.js and .NET.
  • Collaborate on deployment and monitoring in cloud environments with performance, security, and cost focus.
  • Own end-to-end design and implementation of AI-enabled cloud systems from problem to production.
  • Evaluate trade-offs on model accuracy, latency, scalability, cost, and maintainability.
  • Maintain scalable training and inference pipelines on cloud platforms.
  • Ensure AI-enabled solutions meet reliability, security, observability, and compliance.

Conoscenze

8+ years dev
.NET web
React
AI/ML solutions
Generative AI
LLM systems
LangChain
Lang Graph
Vector databases
FAISS
Pinecone
Chroma
Python
NumPy
Pandas
TypeScript
Problem solving
Communication
Teamwork
Mentoring

Strumenti

Node.js
React.js
.NET

Descrizione del lavoro

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.
  • Excellent Problem solving and analytical skills
  • Communication and teamwork: Excellent verbal and written communication skills are required. Ability to learn and adapt quickly to maximize productivity. Self-motivated person with the ability to work individually and as part of a team.
  • Self-motivated, detail-oriented and organized
  • Ability to analyse internal business processes and establish the best approach using practical and pragmatic actions
  • Works well independently and effectively collaborate with and contribute to cross-functional teams
  • Should be able to work in a team and mentor others
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